Kidney Tumour Segmentation and Classification Using Deep Learning
Keywords:
K Means Nearest Neighbor, Long Short-Term Memory, Mathematical Laboratory, Deep Embedded Clustering, Semi-Supervised Learning with Deep Embedded Clustering, Magnetic Resonance Imaging, Region of Interest
Abstract
Diagnosis and subtype classification of kidney cancer, one of the most lethal illnesses, are critical to improving the prognosis of individual patients. As a result, there is an immediate need to create automated technologies that can correctly classify kidney cancer into its various subtypes. Scientists in the biomedical sector have discovered that miRNA dysregulation can result in cancer. We propose a machine learning strategy for subtyping kidney cancer from miRNA genome data in this study. Using a combination of computational and experimental methods, we identified 35 miRNAs that help diagnose certain subtypes of kidney cancer. To categorise a given miRNA sample into kidney cancer subtypes, the proposed method uses Neighborhood Component Analysis (NCA) to extract discriminative features from miRNAs. Only a few kidney subtypes have been examined for classification in the literature. The miRNA quantitative read counts data was obtained from the Cancer Genome Atlas data source and used in the experimental study (TCGA). Three-score and five of the most discriminatory microRNAs (miRNAs) were chosen using the NCA method. The ML system achieved an average accuracy of 95% when using this selection of miRNAs to classify miRNAs involved in kidney cancer into distinct subtypes. In our research, we compared the performance of the K-Nearest Neighbor (KNN) method, which is currently in use, with that of our suggested system, which makes use of Long Short-Term Memory (LSTM).
References
1. Sarvestan Soltani A, Safavi A A, Parandeh M N and Salehi M, “Predicting Kidney cancer Survivability using Data Mining Techniques”, IEEE 2019.
2. Iranpour M, Almassi S and Analoui M, “Kidney cancer Detection from fna using SVM and RBF Classifier”, In 1st Joint Congress on Fuzzy and Intelligent Systems, 2019.
3. Mehmet Fatih Akay. Support vector machines combined with feature selection for Kidney cancer diagnosis. Expert systems with applications, 36(2):3240-3247, 2019.
4. J. Enguehard, P. O’Halloran and A. Gholipour, "Semi-Supervised Learning With Deep Embedded Clustering for Image Classification and Segmentation," in IEEE Access, vol. 7, pp. 11093-11104, 2019.
5. O. Fabela, S. Patil, S. Chintamani and B. H. Dennis, "Estimation of effective thermal conductivity of porous Media utilizing inverse heat transfer analysis on cylindrical configuration," in ASME 2017 International Mechanical Engineering Congress and Exposition, 2017.
6. S. Patil, S. Chintamani, B. Dennis and R. Kumar, "Real time prediction of internal temperature of heat generating bodies using neural network," Thermal Science and Engineering Progress, vol. 23, 2021.
7. S. Patil, S. Chintamani, J. Grisham, R. Kumar and B. H. Dennis, "Inverse Determination of Temperature Distribution in Partially Cooled Heat Generating Cylinder," in ASME 2015 International Mechanical Engineering Congress and Exposition , 2015.
8. S. Patil, S. Chintamani, R. Kumar and B. H. Dennis, "Determination of orthotropic thermal conductivity in heat generating cylinder," in ASME 2016 International Mechanical Engineering Congress and Exposition, American Society of Mechanical Engineer, 2016.
9. R. Upreti, S. Chintamani, S. Patil, A. Akbariyeh and B. H. Dennis, "Stochastic finite element thermal analysis of ball grid array package"," Journal of Electronic Packaging, vol. 144, no. 1, 2022.
10. G. Nagamalleswari, P. Prachet, A.E. Prabahar, P.V. Suresh, N. Rama Rao; Enantio Separation By Hplc – A Review; IAJPR. 2015; 5(3): 1078-1083. N. Jaya Raju, Ch.Avinash, P.V. Suresh; Evaluation Of In Vitro Anthelmintic Activity Of Seed Extracts Of Thymus Serpyllum; IAJPR. 2015; 5(3): 1230-1233.
11. Gollapalli Nagararaju, Karumudi Bhavya Sai, Kota Chandana, Madhu Gudipati, P.V.Suresh, Nadendla Ramarao; synthesis, evaluation of antioxidant and antimicrobial study of 2-substituted benzothiazole derivatives; Indo American Journal of Pharmaceutical Research; 2015, 50 (03), pg. 1288.
12. M.P.Harshitha, P. Venkata Suresh, “Simultaneous determination of residual NSAIDS and antibiotics in raw milk by RP-HPLC”, International Journal of Pharmaceutical Sciences and Research, 2014, Vol:5.
13. J. Ashok Kumar, P. Venkata Suresh, J. Priyanka, R. Anusha, N. Geetha Anupama, A. E.Prabahar, Rama Rao. N, “A Rapid and Novel Green Analytical Chemistry method for estimation of minocycline hydrochloride in pharmaceutical formulations by Fourier Transform Mid Infrared (FT-MIR) spectroscopy” International Journal of Pharmaceutical Analysis, 2014, 39 (1), 1205 – 1209.
14. K. Swathi, P. Venkata Suresh, A.Elphine Prabahar, “Colorimetric estimation of Ezetimibe in bulk and pharmaceutical dosage form by MBTH”, Pharm analysis & quality assurance, 2014, 1-3.
15. P. Venkata Suresh, Rama Rao Nadendla and B. R. Challa; “Bio- analytical method development and validation of Valsartan by precipitation method with HPLC-MS/MS: Application to a pharmacokinetic study, Journal of Chemical and Pharmaceutical Research, 2013, 5(7):7-20.
16. P. Venkata Suresh, Rama Rao Nadendla and B. R. Challa; “Quantification of Desloratadine in Human Plasma by LC-ESI-MS/MS and Application to a Pharmacokinetic Study”; Elsevier Limited; Journal of Pharmaceutical Analysis, issue 2 (2012), 180-187.
17. P. Venkata Suresh, Rama Rao Nadendla and B. R. Challa; “Quantification of sibutramine and its two metabolites in human plasma by LC–ESI-MS/MS and its application in a bioequivalence study”; Elsevier Limited; Journal of Pharmaceutical Analysis, Vol.2, issue 4, (2012),pp. 249-257.
18. P. Venkata Suresh, Rama Rao Nadendla and B. R. Challa; “Quantitative analysis of eletriptan in human plasma by HPLC-MS/MS and its application to pharmacokinetic study”, Springer, Anal Bioanal Chem.2011 Nov; 401(8):2539-48. Epub.2011 Sep 3.
19. P. Venkata Suresh, Rama Rao.Nadendla “HPTLC Method for the Simultaneous Estimation of Etophylline and Theophylline in Tablet Dosage Forms”; Asian journal of chemistry, 2011, 23, 1,309-311.
20. V. Venkatesh, N. Vijaya Lakshmi, P. Venkata Suresh, P, Mohana rao, K. Siva, G. Dhana Raju and N. Rama Rao, “Determination and validation of Modafinil in Pharmaceutical Formulation by Spectrophotometric and RP- HPLC Methods” Journal of Pharmacy research, 2011; 4(2):509-511.
21. Nagamalleswari, G., D.Phanendra, Prabahar, A.E., P. Venkata Suresh, Ramarao, N., “Development and validation of chromatographic method for simultaneous estimation of levocetricine and phenylepherine in pharmaceutical dosage forms” International journal of advances in pharmaceutical research, 2013,Vol 4, issue 7, 1921-26.
22. V. Venkatesh, A. Elphine Prabahar, P. Venkata Suresh, Ch. Uma Maheswari, and N. Rama Rao “RP-HPLC Method for Simultaneous Estimation of Azithromycin and Ambroxol Hydrochloride in Tablets” Asian journal of Chemistry, 2011, 23, 1,312-314.
23. P. Venkata Suresh, Rama Rao.Nadendla, “A New RP-HPLC Method For Simultaneous Estimation Of Etophylline And Theophylline In Tablets” Research Journal of Pharmacy and Technology; Vol: 4No:1: January-February: 2011.
24. V. Venkatesh, N. Vijaya Lakshmi, P. Venkata Suresh, Mohana rao, K. Siva, G. Dhana Raju and N. Rama Rao, “Determination and validation of Modafinil in Pharmaceutical Formulation by Spectrophotometric and RP- HPLC Methods”; Journal of Pharmacy Research, 2011; 4(2):509-511.
25. Jamadon, N.H.; Tan, A.W.; Yusof, F.; Ariga, T.; Miyashita, Y.; Hamdi, M. Utilization of a Porous Cu Interlayer for the Enhancement of Pb-Free Sn-3.0Ag-0.5Cu Solder Joint. Metals 2016, 6, 220.
26. Jamadon, N.H., Ahmad, N.D., Yusof, F., Ariga, T., Miyashita, Y., Shukor, M.H.A. (2017). Effect of Isothermal Aging on Mechanical Properties of Sn-3.0Ag-0.5Cu Solder Alloy with Porous Cu Interlayer Addition. In: Awang, M. (eds) 2nd International Conference on Mechanical, Manufacturing and Process Plant Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore.
27. Hani, J.N.; Fadzil, J.M.; Farazila, Y.; Tadashi, A.; Yukio, M.; Hamdi, A.S.M. The Effect of Temperature on the Formation Behavior of Reaction Layer in Sn-3.0Ag-0.5Cu Solder Joint with the Addition of Porous Copper Interlayer. Materwiss Werksttech 2017, 48, 283–289.
28. Zahri, N.A.M., Yusof, F., Miyashita, Y. et al. Brazing of porous copper foam/copper with amorphous Cu-9.7Sn-5.7Ni-7.0P (wt%) filler metal: interfacial microstructure and diffusion behavior. Weld World 64, 209–217 (2020).
29. Nashrah Hani Jamadon, and Nurul Izaan Abdullah Halid, and Abu Bakar Sulong, and Mohd Hamdi Abd Shukor, and Miyashita, Yukio (2020) Evaluation of sintered hydroxyapatite (HA) via powder injection molding. Jurnal Kejuruteraan, 32 (4). pp. 671-676.
30. Basir, A., Sulong, A.B., Jamadon, N.H. et al. Process Parameters Used in Macro/Micro Powder Injection Molding: An Overview. Met. Mater. Int. 27, 2023–2045 (2021).
31. Basir, A.; Sulong, A.B.; Jamadon, N.H.; Muhamad, N. Feedstock Properties and Debinding Mechanism of Yttria-Stabilized Zirconia/ Stainless Steel 17-4PH Micro-Components Fabricated via Two-Component Micro-Powder Injection Molding Process. Ceram Int 2021, 47, 20476–20485.
32. Basir, A.; Sulong, A.B.; Jamadon, N.H.; Muhamad, N. Sintering Behavior of Bi-Material Micro-Component of 17-4PH Stainless Steel and Yttria-Stabilized Zirconia Produced by Two-Component Micro-Powder Injection Molding Process. Materials 2022, 15, 2059. https://doi.org/10.3390/ma15062059
33. Gnanasagaran, C.L.; Ramachandran, K.; Ramesh, S.; Ubenthiran, S.; Jamadon, N.H. Effect of Co-Doping Manganese Oxide and Titania on Sintering Behaviour and Mechanical Properties of Alumina. Ceram Int 2022.
34. Jamadon, N.H., Ahmad, M.A., Fuad, H.N.M., Adzila, S. (2023). Mechanical Properties of Injection-Molded Poly-Lactic Acid (PLA) Reinforced with Magnesium Hydroxide for Biomedical Application. In: Emamian, S.S., Awang, M., Razak, J.A., Masset, P.J. (eds) Advances in Material Science and Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-3307-3_33
35. O. Alkarabsheh, A. Jaaffar, p. Wei Fong, D. Almaaitah and Z. Alkharabsheh, "The relationship between leadership style and turnover intention of nurses in the public hospitals of Jordan," Cogent Business & Management, Vols. 9, 2022, no. Issue 1, p. Page 1 of 19, 2022.
36. F. Yassine, T. Maaitah, D. Maaitah and J. Al-Gasawneh, "Impact Of Covid-19 On The University Education System In Jordan," Journal of Southwest Jiaotong University, vol. 57, no. 1, pp. 1-15, 2022.
37. D. AL-Maaitah, T. AL-Maaitah and O. alkharabsheh, "The impact of job satisfaction on the employees turnover intention at public universities (Northern Border University)," International Journal of Advanced and Applied Sciences, vol. 8, no. 5, pp. 53-58, 2021.
38. D. Al-maaitah, R. Alias and T. Al-maaitah, "The Impact of Human Resource Management Practices and Leader Member Exchange on Job Performance: A moderating Role of Job Satisfaction in Jordanian Public Universities," Indian Journal of Science and Technology, vol. 12, no. 11, p. 5, 2019.
39. D. Maaitah, R. Allias, A. Azmin and T. Maaitah, "Leader member exchange and job performance with job satisfaction as a moderator," National Academy of Managerial Staff of Culture and Arts Herald, vol. 1, no. 1, pp. 1176-1179, 2018.
40. D. Maaitah, R. Alias and T. Maaitah, "The Impact Of Human Resource Management Practices On Job Performance In (University Of Jordan)," national academy of managerial staff of culture and arts herald, vol. 1, no. 1, pp. 1180-1183, 2018.
41. T. AL-Maaitah, A. Osman, M. Suberi, D. AL-Maaitah and M. AL-Maaitah, "Factors Influencing the Adoption of Electronic Banking in Jordan," Australian Journal of Basic and Applied Sciences, vol. 9, no. 12, pp. 104-108, 2015.
42. D. Al-Maaitah, M. Abdul Mutalib, A. Zumrah and T. Al-Maaitah, "A Conceptual Approach of Human Resource Management Practices Towards Organisation Performance: An Evidence from the Private Universities in Jordan," International Journal of Economics, Commerce and Management, vol. 3, no. 8, pp. 426-434, 2015.
43. T. AL-Maaitah, A. Osman, M. Suberi, D. AL-Maaitah and F. AL-Dhmour, "Review study on the security of electronic payment systems," International Journal of Economics, Commerce and Management, vol. 3, no. 9, pp. 821-829, 2015.
44. D. AL-maaitah, T. AL-maaitah and A. Al-shourah, "Factors Affecting Human Resource Practices In A Sample Of Diversified," International Journal Of Research Science & Management, vol. 12, no. 2, pp. 23-28, 2015.
45. Ali-Mohammad Kamali , Milad Kazemiha, Behnam Keshtkarhesamabadi, Mohsan Daneshvari, Asadollah Zarifkar, Prasun Chakrabarti, Babak Kateb, Mohammad Nami “Simultaneous Transcranial and Transcutaneous Spinal Direct Current Stimulation to Enhance Athletic Performance Outcome in Experienced Boxers”, Scientific Reports , 11 : 19722, 2021.
46. Xin Wang, Yuhao Zhou, Tingwen Huang, Prasun Chakrabarti , "Event-triggered Adaptive Fault-tolerant Control for a Class of Nonlinear Multiagent Systems with Sensor and Actuator Faults" , IEEE Transactions on Circuits and Systems I: Regular Papers, 2022.
47. Tuan Pham Van, Dung Vo Tien, Zbigniew Leonowicz , Michal Jasiński , Tomasz Sikorski , Prasun Chakrabarti “Online Rotor And Stator Resistance Estimation Based On Artificial Neural Network Applied In Sensorless Induction Motor Drive”, Energies , 13 : 4946 , 2020.
48. Prince, Ananda Shankar Hati , Prasun Chakrabarti , Jemal Hussein , Ng Wee Keong , "Development of Energy Efficient Drive for Ventilation System using Recurrent Neural Network" , Neural Computing and Applications , 33 : 8659 , 2021.
49. Papiya Debnath, Pankaj Chittora, Tulika Chakrabarti, Prasun Chakrabarti, Zbigniew Leonowicz, Michal Jasinski , Radomir Gono, Elżbieta Jasińska, “Analysis of earthquake prediction in India using supervised machine learning classifiers”, Sustainibility , 13(2) : 971 , 2021.
50. Pankaj Chittora, Sandeep Chaurasia, Prasun Chakrabarti, Gaurav Kumawat, Tulika Chakrabarti, Zbigniew Leonowiz, Michael Jaisinski, Lukasz Jaisinski, Radomir Gono, Elzbieta Jaisinski, Vadim Bolshev, “Prediction of Chronic Kidney Disease-A Machine Learning perspective",IEEE Access,9 :17312-17334,2021.
51. Imayanmosha Wahlang, Arnab Kumar Maji, Goutam Saha, Prasun Chakrabarti, Michał Jasiński , Zbigniew Leonowicz, Elzbieta Jasinska , “Deep Learning methods for classification of certain abnormalities in Echocardiography”, Electronics , 10 : 495., 2021.
52. Rajkumar Soni , Prasun Chakrabarti , Zbigniew Leonowicz , Michal Jasinski , Krzysztof Wieczorek , Vadim Bolshev, “Estimation of Life Cycle of Distribution Transformer in Context to Furan Content Formation , Pollution Index and Dielectric Strength”, IEEE Access, 9 : 37456, 2021.
53. Yogendra Singh Solanki, Prasun Chakrabarti, Michal Jasinski , Zbigniew Leonowicz, Vadim Bolshev , Alexander Vinogradov, Elzbieta Jasinska, Radomir Gono, Mohammad Nami , “A Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches”, Electronics ,10(6) : 699, 2021.
54. Siddhartha Bhattacharyya, Tulika Dutta, Sandip Dey, Somnath Mukhopadhayay, Prasun Chakrabarti , “Hyperspectral Multi-level Image Thresholding using Qutrit Genetic Algorithm Expert Systems With Applications”, Expert Systems with Applications, 181 : 115107, 2021.
55. Ashish Kumar Sinha, Ananda Shankar Hati , Mohamed Benbouzid , Prasun Chakrabarti , “ANN-based Pattern Recognition for Induction Motor Broken Rotor Bar Monitoring under Supply Frequency Regulation”, Machines , 9(5):87, 2021.
56. Sergey Senkevich, Vadim Bolshev, Ekaterina Ilchenko, Prasun Chakrabarti, Michał Jasiński, Zbigniew Leonowicz , Mikhail Chaplygin, "Elastic Damping Mechanism Optimization by Indefinite Lagrange Multipliers", IEEE Access,9 :71784,2021.
57. Akhilesh Kumar Sharma, Gaurav Aggarwal, Sachit Bhardwaj, Prasun Chakrabarti, Tulika Chakrabarti, Jemal Hussain, Siddhartha Bhattarcharyya, Richa Mishra, Anirban Das, Hairulnizam Mahdin, “Classification of Indian Classical Music with Time-Series Matching using Deep Learning”, IEEE Access , 9 : 102041-102052 , 2021.
58. Tapan Behl, Anuja Singh ,Aayush Sehgal ,Sukhbir Singh , Neelam Sharma, Tanveer Naved, Saurabh Bhatia, Ahmed Al-Harrasi, Prasun Chakrabarti, Lotfi Aleya,Simona Bungau “Mechanistic Insights into the Role of B Cells in Rheumatoid Arthritis”, International Immunopharmacology, 99 : 108078 , 2021.
59. Zuhaib Ashfaq Khan, Hafiz Husnain Raza Sherazi , Mubashir Ali, Muhammad Ali Imran, Ikram Ur Rehman, Prasun Chakrabarti , “Designing Wind Energy Harvester for Connected Vehicles in Green Cities”, Energies , 14(17) :5408, 2021.
60. Abrar Ahmed Chhipa , Vinod Kumar, R. R. Joshi, Prasun Chakrabarti, Michal Jaisinski, Alessandro Burgio, Zbigniew Leonowicz, Elzbieta Jasinska, Rajkumar Soni, Tulika Chakrabarti, “Adaptive Neuro-fuzzy Inference System Based Maximum Power Tracking Controller for Variable Speed WECS”, Energies ,14(19) :6275, 2021.
61. M A Berlin , N Upadhayaya, A Alghatani, V Tirth, S Islam, K Murali, P R Kshirsagar, Bui Thanh Hung, Prasun Chakrabarti , Pankaj Dadheech , “Novel hybrid artificial intelligence based algorithm to determine the effects of air pollution on human electroencephalogram signals”, Journal of Environmental Protection and Ecology , 22(5): 1825-1835,2021.
62. M Abul Hasan, K Raghuveer, P S Pandey, Ashok Kumar, Ashim Bora, Deepa Jose, P R Kshirsagar, Bui Thanh Hung, Prasun Chakrabarti , M M Khanapurkar , “Internet of Things and its applications in Industry 4.0 for Smart Waste Management”, Journal of Environmental Protection and Ecology , 22(6): 2368-2378,2021.
63. Vivek Jain, Prasun Chakrabarti , Massimo Mitolo , Zbigniew Leonowicz, Michal Jasinski , Alexander Vinogradov, , Vadim Bolshev , “A Power-Efficient Multichannel Low-Pass Filter Based on the Cascaded Multiple Accumulate Finite Impulse Response (CMFIR) Structure for Digital Image Processing”, Circuits, Systems and Signal Processing , 2022.
64. Akhilesh Kumar Sharma, Shamik Tiwari, Gaurav Aggarwal, Nitika Goenka, Anil Kumar, Prasun Chakrabarti, Tulika Chakrabarti, Radomir Gono, Zbigniew Leonowicz, Michal Jasiński , “Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network”, IEEE Access , 10 : 17920-17932, 2022.
65. Tanima Bhattacharya, Debashrita Das, Giselle A. Borges e Soares, Prasun Chakrabarti, Zhaoquan Ai, Hitesh Chopra, Alexandru Madalin Hasan , Simona Cavalu , “Novel Green Approaches for the Preparation of Gold Nanoparticles and Their Promising Potential in Oncology”, Processes , 10(2) : 426, 2022
66. Imayanmosha Wahlang, Arnab Kumar Maji , Goutam Saha, Prasun Chakrabarti, Michal Jasinski , Zbigniew Leonowicz, Elzbieta Jasinska , “Brain Magnetic Resonance Imaging Classification using Deep Learning Architectures with gender and age” , Sensors , 22 :1766, 2022.
67. S. Hemalatha, Pravin R. Kshirsagar, Hariprasath Manoharan, N. Vasantha Gowri, A. Vani, Sana Qaiyum, P. Vijayakumar, Vineet Tirth,Sulaima Lebbe Abdul Haleem, Prasun Chakrabarti and Dawit Mamiru Teressa “Novel Link Establishment Communication Scheme against Selfish Attack Using Node Reward with Trust Level Evaluation Algorithm in MANET” ,Wireless Communications and Mobile Computing , 2022.
68. Gaurav Kumawat, Santosh Kumar Viswakarma, Prasun Chakrabarti , Pankaj Chittora, Tulika Chakrabarti , Jerry Chun-Wei Lin, “Prognosis of Cervical Cancer Disease by Applying Machine Learning Techniques”, Journal of Circuits, Systems, and Computers, 2022.
69. M Vasaghi , S Z Mousavi, M Owrangi, M Zadeh, Ali Kamali, Mehdi Dehghani, Prasun Chakrabarti, Mohammad Nami , “Neural Correlates in Functional Brain Mapping among Breast Cancer Survivors Receiving Different Chemotherapy Regimens; a qEEG/HEG – based Investigation”, Japanese Journal of Clinical Oncology, 2022.
70. Maryam Owrangi, Mohammad Javad Gholamzadeh, Maryam Vasaghi Gharamaleki, Seyedeh Zahra Mousavi, Ali-Mohammad Kamali, Mehdi Dehghani, Prasun Chakrabarti , Mohammad Nami , “Comparative analysis of the chemotherapy-related cognitive impairments in patients with breast cancer: a community-based research”, Cancer Investigation,2022.
71. Hariprasath Manoharan, Radha Krishna Rambola, Pravin R. Kshirsagar, Prasun Chakrabarti, Jarallah Alqahtani, Quadri Noorulhasan Naveed, Saiful Islam, Walelign Dinku Mekuriyaw, "Aerial Separation and Receiver Arrangements on Identifying Lung Syndromes Using the Artificial Neural Network", Computational Intelligence and Neuroscience, 2022.
72. Negin Farhadian , Alireza Moradi , Mohammad Nami , Kamran Kazemi , Mohammad Rasoul Ghadami , Alireza Ahmadi , Reza Mohammadi , Mohammad Naseh Talebi , Prasun Chakrabarti , Babak Kateb , Habibolah Khazaie , “The nexus between sleep disturbances and mental health outcomes in military staff – a systematic review”, Sleep Science , 15(3),2022.
73. Chakrabarti P., Bhuyan B., Chaudhuri A. and Bhunia C.T., “A novel approach towards realizing optimum data transfer and Automatic Variable Key(AVK)” , International Journal of Computer Science and Network Security, 8(5), pp.241-250, 2008.
74. Chakrabarti P. , Goswami P.S., “Approach towards realizing resource mining and secured information transfer”, International Journal of Computer Science and Network Security, 8(7), pp.345-350, 2008.
75. Chakrabarti P., Choudhury A., Naik N. , Bhunia C.T., “Key generation in the light of mining and fuzzy rule”, International Journal of Computer Science and Network Security, 8(9), pp.332-337, 2008.
76. Chakrabarti P., De S.K., Sikdar S.C., “Statistical Quantification of Gain Analysis in Strategic Management” , International Journal of Computer Science and Network Security,9(11), pp.315-318, 2009.
77. Chakrabarti P. , Basu J.K. , Kim T.H., “Business Planning in the light of Neuro-fuzzy and Predictive Forecasting”, Communications in Computer and Information Science , 123, pp.283-290, 2010.
78. Prasad A. , Chakrabarti P., “Extending Access Management to maintain audit logs in cloud computing", International Journal of Advanced Computer Science and Applications ,5(3),pp.144-147, 2014.
79. Sharma A.K., Panwar A., Chakrabarti P. ,Viswakarma S., “Categorization of ICMR Using Feature Extraction Strategy and MIR with Ensemble Learning”, Procedia Computer Science, 57,pp.686-694,2015.
80. K. Sridhar, Ajay Reddy Yeruva, Renjith P N, Asmita Dixit, Aatif Jamshed, and Ravi Rastogi, “Enhanced Machine learning algorithms Lightweight Ensemble Classification of Normal versus Leukemic Cel”, Journal of Pharmaceutical Negative Results, Vol.13, no.SI-9, pp. 496–505, 2022.
81. Nita S. patil, Sanjay M. Patil, Chandrashekhar M. Raut, Amol P. Pande, Ajay Reddy Yeruva, and Harish Morwani, “An Efficient Approach for Object Detection using Deep Learning”, Journal of Pharmaceutical Negative Results, Vol.13, no.SI-9, pp. 563–572, 2022.
82. F. Karim, H. Abulkasim, E. Alabdulkreem, N. Ahmed, M. Jamjoom, and S. Abbas, "Improvements on new quantum key agreement protocol with five-qubit Brown states," Modern Physics Letters A, vol. 37, p. 2250128, 2022.
83. H. Abulkasim, E. Alabdulkreem, and S. Hamad, "Improved Multi-party Quantum Key Agreement with Four-qubit Cluster States," CMC-Computers Materials & Continua, vol. 73, pp. 225-232, 2022.
84. H. Abulkasim, E. Alabdulkreem, F. Karim, N. Ahmed, M. Jamjoom, M. Hadjouni, et al., "Cryptanalysis and Improvements on Quantum Key Agreement Protocol Based on Quantum Search Algorithm," Security and Communication Networks, vol. 2022, 2022
85. H. Abulkasim, M. Jamjoom, and S. Abbas, "Securing Copyright Using 3D Objects Blind Watermarking Scheme," CMC-Computers Materials & Continua, vol. 72, pp. 5969-5983, 2022.
86. Elhadad, S. Hamad, A. Khalifa, and H. Abulkasim, "A steganography approach for hiding privacy in video surveillance systems," in Digital Media Steganography, ed: Elsevier, 2020, pp. 165-187.
87. Elhadad, S. Abbas, H. Abulkasim, and S. Hamad, "Improving the security of multi-party quantum key agreement with five-qubit Brown states," Computer Communications, vol. 159, pp. 155-160, 2020.
88. M. Jamjoom, H. Abulkasim, and S. Abbas, "Lightweight Authenticated Privacy-Preserving Secure Framework for the Internet of Vehicles," Security & Communication Networks, 2022.
89. H. Abulkasim and A. Alotaibi, "Improvement on ‘multiparty quantum key agreement with four-qubit symmetric W state’," International Journal of Theoretical Physics, vol. 58, pp. 4235-4240, 2019.
90. B. R. Rajagopal, B. Anjanadevi, M. Tahreem, S. Kumar and M. Debnath, and K. Tongkachok, "Comparative Analysis of Blockchain Technology and Artificial Intelligence and its impact on Open Issues of Automation in Workplace," 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022, pp. 288-292.
91. B.R. Rajagopal, E. Kannapiran, A.D. Gupta, M.Momin and D.S.K. Chakravarthy, "The future prospects and challenges of implementing big data in healthcare management using Structural equation model analysis," Bull. Env. Pharmacol. Life Sci., Spl Issue [1] 2022, pp. 1111-1119, 2022.
92. N.P. Krishnam, M.S. Ashraf, B.R. Rajagopal,P.Vats and D.S.K. Chakravarthy and S.M. Rafi, "Analysis Of Current Trends, Advances And Challenges Of Machine Learning (Ml) And Knowledge Extraction: From Ml To Explainable AI," Industry Qualifications The Institute of Administrative Management UK, Vol.58, pp. 54-62, May 2022.
93. A.D.Gupta, S.M. Rafi, B.R. Rajagopal, T.Milton and S.G.Hymlin, "Comparative analysis of internet of things (IoT) in supporting the health care professionals towards smart health research using correlation analysis," Bull.Env.Pharmacol. Life Sci., Spl Issue [1] 2022, pp. 701-708, 2022.
94. Roja Boina, “Assessing the Increasing Rate of Parkinson's Disease in the US and its Prevention Techniques”, International Journal of Biotechnology Research and Development, 3(1), pp. 1-18, 2022.
95. R. Senthilkumar, B. G. Geetha, "Asymmetric Key Blum-Goldwasser Cryptography for Cloud Services Communication Security," Journal of Internet Technology, vol. 21, no. 4 , pp. 929-939, Jul.2020.
96. Senthil kumar, R., Geetha, B.G. Signature Verification and Bloom Hashing Technique for Efficient Cloud Data Storage. Wireless Pers Commun 103, 3079–3097,2018.
97. K. Kankaew (eds), Global Air Transport Management and Reshaping Business Models for the New Era. Hershey: IGI Global, 2022.
98. B. Worasuwannarak, K. Kankaew, “The image value of Southeast Asia airlines: A study of attribute that led to image value of choosing Southeast Asia airlines by Mean-End theory approach,” In Global Air Transport Management and Reshaping Business Models for the New Era, K. Kankaew, Eds. Hershey: IGI Global, 2022, pp. 192-206.
99. K. Kankaew, K. Kangwol, A. Guzikova, S. Kungwol, B. Sitikarn, T. Suksutdhi, “Organizational Structure Enhancing Airlines Efficiency Amid the Pandemic: Low-Cost Carriers in Thailand as a Case,” GeoJournal of Tourism and Geosites, vol. 38, pp. 1189-1194, 2021.
100. K. Kankaew, E. Tansiri, R. Waramontri, N. Paethrangsi, K. Kungwol, B. Sitikarn, K. Charernit, “Coping with the changes that challenges: The business and education sector in Thailand 4.0,”International Journal of Asian Business and Information Management, vol. 13, 2021.
101. B. Sitikarn, K. Kankaew, Y. Sawangdee, “Coffee value symbiosis toward a mountain geographical community-based tourism in Thailand,” GeoJournal of Tourism and Geosites, vol. 42, pp. 657-663, 2022.
102. R. Agarwal and N. Rao, “ML-based classifier for Sloan Digital Sky spectral objects,” Neuroquantology, vol. 20, no. 6, pp. 8329–8358, 2022.
103. R. Agarwal, “Edge Detection in Images Using Modified Bit-Planes Sobel Operator,” 2014, pp. 203–210.
104. A. Rashi and R. Madamala, “Minimum relevant features to obtain ai explainable system for predicting breast cancer in WDBC,” Int J Health Sci (Qassim), Sep. 2022, doi: 10.53730/ijhs.v6nS9.12538.
105. R. A. A. Agarwal, “Decision Support System designed to detect yellow mosaic in Pigeon pea using Computer Vision,” Design Engineering (Toronto), vol. 8, pp. 832–844, 2021.
106. R. Agarwal, S. Hariharan, M. Nagabhushana Rao, and A. Agarwal, “Weed Identification using K-Means Clustering with Color Spaces Features in Multi-Spectral Images Taken by UAV,” in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Jul. 2021, pp. 7047–7050.
107. D.K. Srivastava and B. Roychoudhury, “Words are important: A textual content based identity resolution scheme across multiple online social networks,” Knowledge-Based Systems, vol. 195, 105624, 2020.
108. S. R. Vadyala, S. N. Betgeri, J. C. Matthews, and E. Matthews, “A review of physics-based machine learning in civil engineering.” Results in Engineering, vol. 13, p. 100316, 2022.
109. S. R. Vadyala, S. N. Betgeri, and N. P. Betgeri, “Physics-informed neural network method for solving one-dimensional advection equation using PyTorch.” Array, vol. 13, p. 100110, 2022.
110. S. R. Vadyala and E. A. Sherer, “Natural Language Processing Accurately Categorizes Indications, Findings and Pathology Reports From Multicenter Colonoscopy (Preprint).” 2021, doi: 10.2196/preprints.32973.
111. S. R. Vadyala, S. N. Betgeri, E. A. Sherer, and A. Amritphale, “Prediction of the number of COVID-19 confirmed cases based on K-means-LSTM.” Array, vol. 11, p. 100085, 2021.
112. J. A. Zarnan, W. M. Hameed , A. B .Kanbar, “New Numerical Approach for Solution of Nonlinear Differential Equations ,” Journal of Hunan University., 49(7), 163-170, July 2022.
113. J.A. Zarnan. On the numerical solution of Urysohn integral equation using Chebyshev polynomial. International Journal of Basic & Applied Sciences IJBAS-IJENS , 16 (06), 23-27, (2016).
114. J.A. Zarnan, Numerical solution of Volterra integral equations of Second Kind. Int. J. Comput. Sci. Mobile Comput., 5(7), 509-517, (2016).
115. J.A. Zarnan, A novel approach for the solution of a class of Urysohn integral equations using Bernstein polynomials. Int. J. Adv. Res , 5 (1), 2156-2162.(2017).
116. J. A. Zarnan, W. M. Hameed.. A comparison study between two approaches for solution of Urysohn integral equation by using statistical method, International Journal of Advances in Applied Mathematics and Mechanics, 6(1), 65-68. (2018)
117. J.A. Zarnan. Numerical Solutions of Nonlinear Fredholm Integral Equations of the Second Kind. Journal of Applied Computer Science & Mathematics, 13(27), 39-41. (2019).
118. J.A. Zarnan. Nonlinear integral equations solution method based on operational matrices of Chebyshev, International Journal of Advanced and Applied Sciences, 7(5), 104-110. (2020).
119. R. Oak, M. Du, D. Yan, H. Takawale, and I. Amit, “Malware detection on highly imbalanced data through sequence modeling,” in Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security - AISec’19, 2019.
120. R. Oak, “Poster: Adversarial examples for hate speech classifiers,” in Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019.
121. R. Oak and M. Khare, “A novel architecture for continuous authentication using behavioural biometrics,” in 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC), 2017, pp. 767–771.
122. R. Oak, “A literature survey on authentication using behavioural biometric techniques,” in Intelligent Computing and Information and Communication, Singapore: Springer Singapore, 2018, pp. 173–181.
123. M. Khare and R. Oak, “Real-time distributed denial-of-service (DDoS) attack detection using decision trees for server performance maintenance,” in Asset Analytics, Singapore: Springer Singapore, 2020, pp. 1–9.
124. Satyanaga, H. Rahardjo, and Q. Zhai, “Estimation of unimodal water characteristic curve for gap-graded soil,” Soils and Foundations, vol. 57, no. 5, pp. 789–801, 2017.
125. Satyanaga & H. Rahardjo, “Unsaturated shear strength of soil with bimodal soil-water characteristic curve,” Geotechnique, Vol. 69, No. 9, pp. 828-832, 2019.
126. Satyanaga, H. Rahardjo & C.J. Hua, “Numerical simulation of capillary barrier system under rainfall infiltration,” ISSMGE International Journal of Geoengineering Case Histories, Vol 5, No 1, pp. 43-54, 2019.
127. S. Pandya, T. R. Gadekallu, P. K. Reddy, W. Wang and M. Alazab, "InfusedHeart: A Novel Knowledge-Infused Learning Framework for Diagnosis of Cardiovascular Events," in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2022.3151643.
128. H. Bulut and R. F. Rashid , "The Zooplankton Of Some Streams Flow Into The Zab River, (Northern Iraq)", Ecological Life Sciences, vol. 15, no. 3, pp. 94-98, Jul. 2020
129. Rashid, R. F., Çalta, M., & Başusta, A. (2018). Length-Weight Relationship of Common Carp (Cyprinus carpio L., 1758) from Taqtaq Region of Little Zab River, Northern Iraq. Turkish Journal of Science and Technology, 13(2), 69-72.
130. Pala, G., Caglar, M., Faruq, R., & Selamoglu, Z. (2021). Chlorophyta algae of Keban Dam Lake Gülüşkür region with aquaculture criteria in Elazıg, Turkey. Iranian Journal of Aquatic Animal Health, 7(1), 32-46.
131. Rashid, R. F., & Basusta, N. (2021). Evaluation and comparison of different calcified structures for the ageing of cyprinid fish leuciscus vorax (heckel, 1843) from karakaya dam lake, turkey. Fresenius environmental bulletin, 30(1), 550-559.
132. Rashid, R. (2017). Karakaya Baraj Gölünde (Malatya-Türkiye) yaşayan aspius vorax'da yaş tespiti için en güvenilir kemiksi yapının belirlenmesi/Determination of most reliable bony structure for ageing of aspius vorax inhabiting Karakaya Dam Lake (Malatya-Turkey).
133. Kumar, Dhurjati .Rajeswara , Lanke, Govinda Rajulu, “Survey Of Cloud Computing and Its Development And Problem Solving,” International Journal of Innovative Research Explorer(ijire), vol. 6, no. 11, p. 8, 2018.
134. Govinda rajulu Lanke and T.Bhuvaneswari, “Giving Intelligence to SMEs Business,” International Journal of Business Intelligent, vol. 04, no. 02, p. 5, 2015.
135. Lanke, Govinda Rajulu, “The Certainty of Bi System For SME,” IJCSERD, vol. 1, no. 1, p. 4, 2014.
136. Lanke, Govinda Rajulu, “Strategic objectives modeling architecture for Real-Time Business Intelligence (BI),” International Journal of Scientific and Technology Research, vol. 2, no. 6, p. 4, 2013.
137. Lanke, Govinda Rajulu. (2013), “Adaptation of Saas In B Usiness I Ntelligence For SME,” IJOAR .org, vol. 1, no.3, p.14, 2013.
138. Lanke, Govinda Rajulu, “The Inevitability of BI systems for SME,” International Conference On Emerging Trends In Science, Engineering And Technology, vol. 1, no. 3, p. 14, 2012.
139. Satyanaga & H. Rahardjo, “Role of unsaturated soil properties in the development of slope susceptibility map,” Geotechnical Engineering. Vol 175, No 3, pp. 276-288, 2022.
140. Satyanaga & H. Rahardjo, “Stability of unsaturated soil slopes covered with Melastoma Malabathricum in Singapore,” Geotechnical Engineering. Vol 7, No 6, pp. 393-403. 2020.
141. Satyanaga, H. Rahardjo, Z.H. Koh & H. Mohamed. “Measurement of a soil-water characteristic curve and unsaturated permeability using the evaporation method and the chilled-mirror method,” Journal of Zhejiang University-SCIENCE A. Vol 20, No 5, pp. 368-375, 2019.
142. Satyanaga, N. Bairakhmetov, J.R. Kim & S.-W. Moon. “Role of bimodal water retention curve on the unsaturated shear strength,” Applied Sciences. Vol 12, No 3, pp. 1266. 2022.
143. Parvathi K, Santhi T, Makeswari M, Nirmaladevi V, Rathinam R. Ricinus Communis Activated Charcoal Preparation, Characterization and Application for Methyl Red Adsorptive Removal. Orient J Chem 2022;38(1), Pg. 110-117.
144. Rathinam R, Brindha T, Petchiammal M, Mohamed Ibrahim A, Photo-Electrocatalytic Degradation Of Aqueous Rhodamine B Dye Using Titanium Electrodes Coated With RuO2/IrO2/TaO2, Indian Journal of Environmental protection, 41(12), pp.1365-1371, 2021.
145. Umadevi M, Rathinam R, Brindha T, Dheenadhayalan S, Pattabhi S, Application of Electro- Chemical Oxidation for the Treatment of Reactive Red 195 using Graphite Electrode, Asian Journal of Biological and Life Sciences, 2022,10 (3), 620-625.
146. Brindha T, Rathinam R, Dheenadhayalan S, Sivakumar R. Nanocomposite Coatings in Corrosion Protection Applications: An Overview . Orient J Chem 2021;37(5), Pg.1062-1067.
147. Parvathi K, Santhi T, Makeswari M, Nirmaladevi V, Rathinam R (2022) Ricinus Communis Activated Charcoal Preparation, Characterization and Application for Methyl Red Adsorptive Removal. Orient Journal of Chemistry, 38(1), 110-117.
148. Rathinam R, Brindha T, Petchiammal M, Mohamed Ibrahim A (2021) Photo-Electrocatalytic Degradation Of Aqueous Rhodamine B Dye Using Titanium Electrodes Coated With RuO2/IrO2/TaO2, Indian Journal of Environmental protection, 41(12), 1365-1371,
149. A, V. V. ., T, S. ., S, S. N. ., & Rajest, D. S. S. . (2022). IoT-Based Automated Oxygen Pumping System for Acute Asthma Patients. European Journal of Life Safety and Stability (2660-9630), 19 (7), 8-34.
150. A. A. Shaltout, N. Y. Mostafa, M. S. Abdel-Aal, and H. A. Shaban, “Electron number density and temperature measurements in laser produced brass plasma,” EPJ Appl. Phys., vol. 5, no. 1, pp. 11003–11010, 2010.
151. Brindha T, Rathinam R, Dheenadhayalan S, Sivakumar R (2021). Nanocomposite Coatings in Corrosion Protection Applications: An Overview. Orient J Chem., 37(5), 1062-1067.
152. C. A. Valades Cruz et al., “Quantitative nanoscale imaging of orientational order in biological filaments by polarized superresolution microscopy,” Proc. Natl. Acad. Sci., vol. 113, no. 7, pp. E820–E828, 2016.
153. D.K. Srivastava and B. Roychoudhury, “Understanding the Factors that Influence Adoption of Privacy Protection Features in Online Social Networks,” Journal of Global Information Technology Management, vol.24, no.3, pp. 164-182, August 2021
154. E. Miron et al., “Chromatin arranges in chains of mesoscale domains with nanoscale functional topography independent of cohesin,” Sci. Adv., vol. 6, no. 39, pp. eaba8811, 2020.
155. E. Parimalasundar, S. Jayakumar, R. Ravikumar and K. Suresh, “Investigation analysis of open circuit and short circuit fault on cascaded H-bridged multilevel inverter using artificial neural network approach,” International Journal of Electrical and Electronics Research (IJEER), vol. 10, no. 2, pp.320-326.
156. Govindaraj M, Babu S., Rathinam R. Vasini V, Vijayakumar K (2022) Integrated electrocoagulation–photoelectrocatalytic oxidation for effective treatments of aqueous solution bisphenol-A using green-synthesized ZnO nanoparticles. Chem. Pap.
157. H. A. Shaban and A. Seeber, “Monitoring global chromatin dynamics in response to DNA damage,” Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis, vol. 821, no. May–December 2020, p. 111707, 2020.
158. H. A. Shaban and A. Seeber, “Monitoring the spatio-temporal organization and dynamics of the genome,” Nucleic Acids Res., vol. 48, no. 7, pp. 3423-3434, Mar. 2020.
159. H. A. Shaban, A. A. Shaltout, M. Abdou, E. A. Al Ashker, and M. Elgohary, “Determination of Cu, Zn, and Se in microvolumes of liquid biological samples,” J. Appl. Spectrosc., vol. 77, no. 6, pp. 771-777, 2011.
160. H. A. Shaban, C. A. Valades-Cruz, J. Savatier, and S. Brasselet, “Polarized super-resolution structural imaging inside amyloid fibrils using Thioflavine T,” Sci. Rep., vol. 7, no. 1, pp. 1-10, 2017.
161. H. A. Shaban, R. Barth, and K. Bystricky, “Formation of correlated chromatin domains at nanoscale dynamic resolution during transcription,” Nucleic Acids Res., vol. 46, no. 13, p. e77-e77, Apr. 2018.
162. H. A. Shaban, R. Barth, and K. Bystricky, “Navigating the crowd: visualizing coordination between genome dynamics, structure, and transcription,” Genome Biology, vol. 21, no. 1, pp. 1-18, 2020.
163. H. A. Shaban, R. Barth, L. Recoules, and K. Bystricky, “Hi-D: nanoscale mapping of nuclear dynamics in single living cells,” Genome Biol., vol. 21, no. 1, p. 95, 2020.
164. Ismail R M A, Rathinam R, Al-Jamal M, Ramachandran S K, Al-Mattarneh H, Pant B, Patil P Y (2022) Mn-BIM Based Photo-Catalytic Degradation of Hazardous Industrial Organic Pollutants in Fresh Water. Advances in Science and Technology. 117, 53-58.
165. J. A. Zarnan, A Novel Approach for the Solution of a Love’s Integral Equations Using Bernstein Polynomials, IOSR Journal of Mathematics, 13(1), 10-13. (2017),
166. J. A. Zarnan, W. M. Hameed , A. B .Kanbar, A Novel Approach for the Solution of a Love's Integral Equations Using Chebyshev Polynomials, International Journal of Advances in Applied Mathematics and Mechanics. 7(3), 96-01, (2020).
167. J. A. Zarnan, W. M. Hameed, On The Numerical Eigenvalues of a Spring-Mass System. International Journal of Computer Science and Mobile Computing, 5(8), 51-54. (2016).
168. J.A. Zarnan. A Novel Approach for the Solution of Urysohn Integral Equations Using Hermite Polynomials. International journal of applied Engineering Research, 12(24), 14391-14395. (2017).
169. Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2022). The use of Internet of Things (Iot) Technology in the Context of “Smart Gardens” is Becoming Increasingly Popular. International Journal of Biological Engineering and Agriculture, 1(2), 1–13.
170. K. Suresh and E. Parimalasundar, "A Modified Multi Level Inverter with Inverted SPWM Control," in IEEE Canadian Journal of Electrical and Computer Engineering, vol. 45, no. 2, pp. 99-104, Spring 2022.
171. K. Suresh and E. Parimalasundar, “A novel dual-leg DC-DC converter for wide range DC-AC conversion,” Automatika, vol. 63, no. 3, pp.572-579, 2022.
172. Karthick L, Rathinam R, Abdul Kalam Sd., Ganesh Babu Loganathan, Sabeenian R S, Joshi S K, Ramesh L, Mohammed Ali H, Wubishet Degife Mammo (2022) Influence of Nano-/Microfiller Addition on Mechanical and Morphological Performance of Kenaf/Glass Fibre-Reinforced Hybrid Composites. Journal of Nanomaterials, Article ID 9778224, 10 pages ,
173. M. I. Abdou, H. A. Shaban, M. I. El Gohary, “Changes in serum zinc, copper and ceruloplasmin levels of whole body gamma irradiated rats”. Tenth Radiation Physics & Protection Conference, Cairo, Egypt; 27–30 November 2010. pp 17–26.
174. Parimalasundar Ezhilvannan and Suresh Krishnan, “An efficient asymmetric direct current (DC) source configured switched capacitor multi-level inverter,” Journal Européen des Systèmes Automatisés, vol. 53, no. 6, pp.853-859, 2020.
175. R. Barth and H. A. Shaban, “Spatially coherent diffusion of human RNA Pol II depends on transcriptional state rather than chromatin motion,” Nucleus, vol. 13, no. 1, pp. 194–202, Dec. 2022.
176. R. Barth, G. Fourel, and H. A. Shaban, “Dynamics as a cause for the nanoscale organization of the genome,” Nucleus, vol. 11, no. 1, pp. 83–98, Jan. 2020, doi: 10.1080/19491034.2020.1763093.
177. R. Barth, K. Bystricky, and H. A. Shaban, “Coupling chromatin structure and dynamics by live super-resolution imaging,” Sci. Adv., vol. 6, no. 27, pp. eaaz2196, 2020, doi:10.1126/sciadv.aaz2196.
178. R. Regin, Steffi. R, Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest (2022), “Internet of Things (IoT) System Using Interrelated Computing Devices in Billing System”, Journal of Advanced Research in Dynamical and Control Systems, Vol.14, no.1, pp. 24-40.
179. R. Steffi, G. Jerusha Angelene Christabel, T. Shynu, S. Suman Rajest, R. Regin (2022), “ A Method for the Administration of the Work Performed by Employees”, Journal of Advanced Research in Dynamical and Control Systems, Vol.14, no.1, pp. 7-23.
180. Rajest, S. S. ., Regin, R. ., T, S. ., G, J. A. C. ., & R, S. . (2022). Production of Blockchains as Well as their Implementation. Vital Annex : International Journal of Novel Research in Advanced Sciences, 1(2), 21–44.
181. Rathinam, R, Singh D P, Dutta A., Rudresha S, Ali S R, Chatterjee P (2022) TiO2 Nanoparticles Based Peroxidase Mimics for Colorimetric Sensing of Cholesterol and Hydrogen Peroxide. Advances in Science and Technology, 117, 85-90.
182. Regin, D. R., Rajest, D. S. S., T, S., G, J. A. C., & R, S. (2022). An Automated Conversation System Using Natural Language Processing (NLP) Chatbot in Python. Central Asian Journal Of Medical And Natural Sciences, 3(4), 314-336.
183. S. S. Rajest, R. Regin, S. T, J. A. C. G, and S. R, “Improving Infrastructure and Transportation Systems Using Internet of Things Based Smart City”, CAJOTAS, vol. 3, no. 9, pp. 125-141, Sep. 2022.
184. Singh A, Rathinam R, Yadav A K, Vasudevan R, Kulandhaisamy I, Purushotham M, Patil P Y. (2022) A Simple Approach of CQDs@MoS2 Nanosheets for Turn-On Fluorescence Sensor for Detection of Pb2+ Ions. Key Engineering Materials, 928, 33-38.
185. T, S., Rajest, S. S., Regin, R., Christabel G, J. A., & R, S. (2022). Automation And Control Of Industrial Operations Using Android Mobile Devices Based On The Internet Of Things. Central Asian Journal of Mathematical Theory and Computer Sciences, 3(9), 1-33.
186. Umadevi M, Rathinam R, Brindha T, Dheenadhayalan S, Pattabhi S (2022) Application of Electro- Chemical Oxidation for the Treatment of Reactive Red 195 using Graphite Electrode, Asian Journal of Biological and Life Sciences, 10(3), 620-625.
2. Iranpour M, Almassi S and Analoui M, “Kidney cancer Detection from fna using SVM and RBF Classifier”, In 1st Joint Congress on Fuzzy and Intelligent Systems, 2019.
3. Mehmet Fatih Akay. Support vector machines combined with feature selection for Kidney cancer diagnosis. Expert systems with applications, 36(2):3240-3247, 2019.
4. J. Enguehard, P. O’Halloran and A. Gholipour, "Semi-Supervised Learning With Deep Embedded Clustering for Image Classification and Segmentation," in IEEE Access, vol. 7, pp. 11093-11104, 2019.
5. O. Fabela, S. Patil, S. Chintamani and B. H. Dennis, "Estimation of effective thermal conductivity of porous Media utilizing inverse heat transfer analysis on cylindrical configuration," in ASME 2017 International Mechanical Engineering Congress and Exposition, 2017.
6. S. Patil, S. Chintamani, B. Dennis and R. Kumar, "Real time prediction of internal temperature of heat generating bodies using neural network," Thermal Science and Engineering Progress, vol. 23, 2021.
7. S. Patil, S. Chintamani, J. Grisham, R. Kumar and B. H. Dennis, "Inverse Determination of Temperature Distribution in Partially Cooled Heat Generating Cylinder," in ASME 2015 International Mechanical Engineering Congress and Exposition , 2015.
8. S. Patil, S. Chintamani, R. Kumar and B. H. Dennis, "Determination of orthotropic thermal conductivity in heat generating cylinder," in ASME 2016 International Mechanical Engineering Congress and Exposition, American Society of Mechanical Engineer, 2016.
9. R. Upreti, S. Chintamani, S. Patil, A. Akbariyeh and B. H. Dennis, "Stochastic finite element thermal analysis of ball grid array package"," Journal of Electronic Packaging, vol. 144, no. 1, 2022.
10. G. Nagamalleswari, P. Prachet, A.E. Prabahar, P.V. Suresh, N. Rama Rao; Enantio Separation By Hplc – A Review; IAJPR. 2015; 5(3): 1078-1083. N. Jaya Raju, Ch.Avinash, P.V. Suresh; Evaluation Of In Vitro Anthelmintic Activity Of Seed Extracts Of Thymus Serpyllum; IAJPR. 2015; 5(3): 1230-1233.
11. Gollapalli Nagararaju, Karumudi Bhavya Sai, Kota Chandana, Madhu Gudipati, P.V.Suresh, Nadendla Ramarao; synthesis, evaluation of antioxidant and antimicrobial study of 2-substituted benzothiazole derivatives; Indo American Journal of Pharmaceutical Research; 2015, 50 (03), pg. 1288.
12. M.P.Harshitha, P. Venkata Suresh, “Simultaneous determination of residual NSAIDS and antibiotics in raw milk by RP-HPLC”, International Journal of Pharmaceutical Sciences and Research, 2014, Vol:5.
13. J. Ashok Kumar, P. Venkata Suresh, J. Priyanka, R. Anusha, N. Geetha Anupama, A. E.Prabahar, Rama Rao. N, “A Rapid and Novel Green Analytical Chemistry method for estimation of minocycline hydrochloride in pharmaceutical formulations by Fourier Transform Mid Infrared (FT-MIR) spectroscopy” International Journal of Pharmaceutical Analysis, 2014, 39 (1), 1205 – 1209.
14. K. Swathi, P. Venkata Suresh, A.Elphine Prabahar, “Colorimetric estimation of Ezetimibe in bulk and pharmaceutical dosage form by MBTH”, Pharm analysis & quality assurance, 2014, 1-3.
15. P. Venkata Suresh, Rama Rao Nadendla and B. R. Challa; “Bio- analytical method development and validation of Valsartan by precipitation method with HPLC-MS/MS: Application to a pharmacokinetic study, Journal of Chemical and Pharmaceutical Research, 2013, 5(7):7-20.
16. P. Venkata Suresh, Rama Rao Nadendla and B. R. Challa; “Quantification of Desloratadine in Human Plasma by LC-ESI-MS/MS and Application to a Pharmacokinetic Study”; Elsevier Limited; Journal of Pharmaceutical Analysis, issue 2 (2012), 180-187.
17. P. Venkata Suresh, Rama Rao Nadendla and B. R. Challa; “Quantification of sibutramine and its two metabolites in human plasma by LC–ESI-MS/MS and its application in a bioequivalence study”; Elsevier Limited; Journal of Pharmaceutical Analysis, Vol.2, issue 4, (2012),pp. 249-257.
18. P. Venkata Suresh, Rama Rao Nadendla and B. R. Challa; “Quantitative analysis of eletriptan in human plasma by HPLC-MS/MS and its application to pharmacokinetic study”, Springer, Anal Bioanal Chem.2011 Nov; 401(8):2539-48. Epub.2011 Sep 3.
19. P. Venkata Suresh, Rama Rao.Nadendla “HPTLC Method for the Simultaneous Estimation of Etophylline and Theophylline in Tablet Dosage Forms”; Asian journal of chemistry, 2011, 23, 1,309-311.
20. V. Venkatesh, N. Vijaya Lakshmi, P. Venkata Suresh, P, Mohana rao, K. Siva, G. Dhana Raju and N. Rama Rao, “Determination and validation of Modafinil in Pharmaceutical Formulation by Spectrophotometric and RP- HPLC Methods” Journal of Pharmacy research, 2011; 4(2):509-511.
21. Nagamalleswari, G., D.Phanendra, Prabahar, A.E., P. Venkata Suresh, Ramarao, N., “Development and validation of chromatographic method for simultaneous estimation of levocetricine and phenylepherine in pharmaceutical dosage forms” International journal of advances in pharmaceutical research, 2013,Vol 4, issue 7, 1921-26.
22. V. Venkatesh, A. Elphine Prabahar, P. Venkata Suresh, Ch. Uma Maheswari, and N. Rama Rao “RP-HPLC Method for Simultaneous Estimation of Azithromycin and Ambroxol Hydrochloride in Tablets” Asian journal of Chemistry, 2011, 23, 1,312-314.
23. P. Venkata Suresh, Rama Rao.Nadendla, “A New RP-HPLC Method For Simultaneous Estimation Of Etophylline And Theophylline In Tablets” Research Journal of Pharmacy and Technology; Vol: 4No:1: January-February: 2011.
24. V. Venkatesh, N. Vijaya Lakshmi, P. Venkata Suresh, Mohana rao, K. Siva, G. Dhana Raju and N. Rama Rao, “Determination and validation of Modafinil in Pharmaceutical Formulation by Spectrophotometric and RP- HPLC Methods”; Journal of Pharmacy Research, 2011; 4(2):509-511.
25. Jamadon, N.H.; Tan, A.W.; Yusof, F.; Ariga, T.; Miyashita, Y.; Hamdi, M. Utilization of a Porous Cu Interlayer for the Enhancement of Pb-Free Sn-3.0Ag-0.5Cu Solder Joint. Metals 2016, 6, 220.
26. Jamadon, N.H., Ahmad, N.D., Yusof, F., Ariga, T., Miyashita, Y., Shukor, M.H.A. (2017). Effect of Isothermal Aging on Mechanical Properties of Sn-3.0Ag-0.5Cu Solder Alloy with Porous Cu Interlayer Addition. In: Awang, M. (eds) 2nd International Conference on Mechanical, Manufacturing and Process Plant Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore.
27. Hani, J.N.; Fadzil, J.M.; Farazila, Y.; Tadashi, A.; Yukio, M.; Hamdi, A.S.M. The Effect of Temperature on the Formation Behavior of Reaction Layer in Sn-3.0Ag-0.5Cu Solder Joint with the Addition of Porous Copper Interlayer. Materwiss Werksttech 2017, 48, 283–289.
28. Zahri, N.A.M., Yusof, F., Miyashita, Y. et al. Brazing of porous copper foam/copper with amorphous Cu-9.7Sn-5.7Ni-7.0P (wt%) filler metal: interfacial microstructure and diffusion behavior. Weld World 64, 209–217 (2020).
29. Nashrah Hani Jamadon, and Nurul Izaan Abdullah Halid, and Abu Bakar Sulong, and Mohd Hamdi Abd Shukor, and Miyashita, Yukio (2020) Evaluation of sintered hydroxyapatite (HA) via powder injection molding. Jurnal Kejuruteraan, 32 (4). pp. 671-676.
30. Basir, A., Sulong, A.B., Jamadon, N.H. et al. Process Parameters Used in Macro/Micro Powder Injection Molding: An Overview. Met. Mater. Int. 27, 2023–2045 (2021).
31. Basir, A.; Sulong, A.B.; Jamadon, N.H.; Muhamad, N. Feedstock Properties and Debinding Mechanism of Yttria-Stabilized Zirconia/ Stainless Steel 17-4PH Micro-Components Fabricated via Two-Component Micro-Powder Injection Molding Process. Ceram Int 2021, 47, 20476–20485.
32. Basir, A.; Sulong, A.B.; Jamadon, N.H.; Muhamad, N. Sintering Behavior of Bi-Material Micro-Component of 17-4PH Stainless Steel and Yttria-Stabilized Zirconia Produced by Two-Component Micro-Powder Injection Molding Process. Materials 2022, 15, 2059. https://doi.org/10.3390/ma15062059
33. Gnanasagaran, C.L.; Ramachandran, K.; Ramesh, S.; Ubenthiran, S.; Jamadon, N.H. Effect of Co-Doping Manganese Oxide and Titania on Sintering Behaviour and Mechanical Properties of Alumina. Ceram Int 2022.
34. Jamadon, N.H., Ahmad, M.A., Fuad, H.N.M., Adzila, S. (2023). Mechanical Properties of Injection-Molded Poly-Lactic Acid (PLA) Reinforced with Magnesium Hydroxide for Biomedical Application. In: Emamian, S.S., Awang, M., Razak, J.A., Masset, P.J. (eds) Advances in Material Science and Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-3307-3_33
35. O. Alkarabsheh, A. Jaaffar, p. Wei Fong, D. Almaaitah and Z. Alkharabsheh, "The relationship between leadership style and turnover intention of nurses in the public hospitals of Jordan," Cogent Business & Management, Vols. 9, 2022, no. Issue 1, p. Page 1 of 19, 2022.
36. F. Yassine, T. Maaitah, D. Maaitah and J. Al-Gasawneh, "Impact Of Covid-19 On The University Education System In Jordan," Journal of Southwest Jiaotong University, vol. 57, no. 1, pp. 1-15, 2022.
37. D. AL-Maaitah, T. AL-Maaitah and O. alkharabsheh, "The impact of job satisfaction on the employees turnover intention at public universities (Northern Border University)," International Journal of Advanced and Applied Sciences, vol. 8, no. 5, pp. 53-58, 2021.
38. D. Al-maaitah, R. Alias and T. Al-maaitah, "The Impact of Human Resource Management Practices and Leader Member Exchange on Job Performance: A moderating Role of Job Satisfaction in Jordanian Public Universities," Indian Journal of Science and Technology, vol. 12, no. 11, p. 5, 2019.
39. D. Maaitah, R. Allias, A. Azmin and T. Maaitah, "Leader member exchange and job performance with job satisfaction as a moderator," National Academy of Managerial Staff of Culture and Arts Herald, vol. 1, no. 1, pp. 1176-1179, 2018.
40. D. Maaitah, R. Alias and T. Maaitah, "The Impact Of Human Resource Management Practices On Job Performance In (University Of Jordan)," national academy of managerial staff of culture and arts herald, vol. 1, no. 1, pp. 1180-1183, 2018.
41. T. AL-Maaitah, A. Osman, M. Suberi, D. AL-Maaitah and M. AL-Maaitah, "Factors Influencing the Adoption of Electronic Banking in Jordan," Australian Journal of Basic and Applied Sciences, vol. 9, no. 12, pp. 104-108, 2015.
42. D. Al-Maaitah, M. Abdul Mutalib, A. Zumrah and T. Al-Maaitah, "A Conceptual Approach of Human Resource Management Practices Towards Organisation Performance: An Evidence from the Private Universities in Jordan," International Journal of Economics, Commerce and Management, vol. 3, no. 8, pp. 426-434, 2015.
43. T. AL-Maaitah, A. Osman, M. Suberi, D. AL-Maaitah and F. AL-Dhmour, "Review study on the security of electronic payment systems," International Journal of Economics, Commerce and Management, vol. 3, no. 9, pp. 821-829, 2015.
44. D. AL-maaitah, T. AL-maaitah and A. Al-shourah, "Factors Affecting Human Resource Practices In A Sample Of Diversified," International Journal Of Research Science & Management, vol. 12, no. 2, pp. 23-28, 2015.
45. Ali-Mohammad Kamali , Milad Kazemiha, Behnam Keshtkarhesamabadi, Mohsan Daneshvari, Asadollah Zarifkar, Prasun Chakrabarti, Babak Kateb, Mohammad Nami “Simultaneous Transcranial and Transcutaneous Spinal Direct Current Stimulation to Enhance Athletic Performance Outcome in Experienced Boxers”, Scientific Reports , 11 : 19722, 2021.
46. Xin Wang, Yuhao Zhou, Tingwen Huang, Prasun Chakrabarti , "Event-triggered Adaptive Fault-tolerant Control for a Class of Nonlinear Multiagent Systems with Sensor and Actuator Faults" , IEEE Transactions on Circuits and Systems I: Regular Papers, 2022.
47. Tuan Pham Van, Dung Vo Tien, Zbigniew Leonowicz , Michal Jasiński , Tomasz Sikorski , Prasun Chakrabarti “Online Rotor And Stator Resistance Estimation Based On Artificial Neural Network Applied In Sensorless Induction Motor Drive”, Energies , 13 : 4946 , 2020.
48. Prince, Ananda Shankar Hati , Prasun Chakrabarti , Jemal Hussein , Ng Wee Keong , "Development of Energy Efficient Drive for Ventilation System using Recurrent Neural Network" , Neural Computing and Applications , 33 : 8659 , 2021.
49. Papiya Debnath, Pankaj Chittora, Tulika Chakrabarti, Prasun Chakrabarti, Zbigniew Leonowicz, Michal Jasinski , Radomir Gono, Elżbieta Jasińska, “Analysis of earthquake prediction in India using supervised machine learning classifiers”, Sustainibility , 13(2) : 971 , 2021.
50. Pankaj Chittora, Sandeep Chaurasia, Prasun Chakrabarti, Gaurav Kumawat, Tulika Chakrabarti, Zbigniew Leonowiz, Michael Jaisinski, Lukasz Jaisinski, Radomir Gono, Elzbieta Jaisinski, Vadim Bolshev, “Prediction of Chronic Kidney Disease-A Machine Learning perspective",IEEE Access,9 :17312-17334,2021.
51. Imayanmosha Wahlang, Arnab Kumar Maji, Goutam Saha, Prasun Chakrabarti, Michał Jasiński , Zbigniew Leonowicz, Elzbieta Jasinska , “Deep Learning methods for classification of certain abnormalities in Echocardiography”, Electronics , 10 : 495., 2021.
52. Rajkumar Soni , Prasun Chakrabarti , Zbigniew Leonowicz , Michal Jasinski , Krzysztof Wieczorek , Vadim Bolshev, “Estimation of Life Cycle of Distribution Transformer in Context to Furan Content Formation , Pollution Index and Dielectric Strength”, IEEE Access, 9 : 37456, 2021.
53. Yogendra Singh Solanki, Prasun Chakrabarti, Michal Jasinski , Zbigniew Leonowicz, Vadim Bolshev , Alexander Vinogradov, Elzbieta Jasinska, Radomir Gono, Mohammad Nami , “A Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches”, Electronics ,10(6) : 699, 2021.
54. Siddhartha Bhattacharyya, Tulika Dutta, Sandip Dey, Somnath Mukhopadhayay, Prasun Chakrabarti , “Hyperspectral Multi-level Image Thresholding using Qutrit Genetic Algorithm Expert Systems With Applications”, Expert Systems with Applications, 181 : 115107, 2021.
55. Ashish Kumar Sinha, Ananda Shankar Hati , Mohamed Benbouzid , Prasun Chakrabarti , “ANN-based Pattern Recognition for Induction Motor Broken Rotor Bar Monitoring under Supply Frequency Regulation”, Machines , 9(5):87, 2021.
56. Sergey Senkevich, Vadim Bolshev, Ekaterina Ilchenko, Prasun Chakrabarti, Michał Jasiński, Zbigniew Leonowicz , Mikhail Chaplygin, "Elastic Damping Mechanism Optimization by Indefinite Lagrange Multipliers", IEEE Access,9 :71784,2021.
57. Akhilesh Kumar Sharma, Gaurav Aggarwal, Sachit Bhardwaj, Prasun Chakrabarti, Tulika Chakrabarti, Jemal Hussain, Siddhartha Bhattarcharyya, Richa Mishra, Anirban Das, Hairulnizam Mahdin, “Classification of Indian Classical Music with Time-Series Matching using Deep Learning”, IEEE Access , 9 : 102041-102052 , 2021.
58. Tapan Behl, Anuja Singh ,Aayush Sehgal ,Sukhbir Singh , Neelam Sharma, Tanveer Naved, Saurabh Bhatia, Ahmed Al-Harrasi, Prasun Chakrabarti, Lotfi Aleya,Simona Bungau “Mechanistic Insights into the Role of B Cells in Rheumatoid Arthritis”, International Immunopharmacology, 99 : 108078 , 2021.
59. Zuhaib Ashfaq Khan, Hafiz Husnain Raza Sherazi , Mubashir Ali, Muhammad Ali Imran, Ikram Ur Rehman, Prasun Chakrabarti , “Designing Wind Energy Harvester for Connected Vehicles in Green Cities”, Energies , 14(17) :5408, 2021.
60. Abrar Ahmed Chhipa , Vinod Kumar, R. R. Joshi, Prasun Chakrabarti, Michal Jaisinski, Alessandro Burgio, Zbigniew Leonowicz, Elzbieta Jasinska, Rajkumar Soni, Tulika Chakrabarti, “Adaptive Neuro-fuzzy Inference System Based Maximum Power Tracking Controller for Variable Speed WECS”, Energies ,14(19) :6275, 2021.
61. M A Berlin , N Upadhayaya, A Alghatani, V Tirth, S Islam, K Murali, P R Kshirsagar, Bui Thanh Hung, Prasun Chakrabarti , Pankaj Dadheech , “Novel hybrid artificial intelligence based algorithm to determine the effects of air pollution on human electroencephalogram signals”, Journal of Environmental Protection and Ecology , 22(5): 1825-1835,2021.
62. M Abul Hasan, K Raghuveer, P S Pandey, Ashok Kumar, Ashim Bora, Deepa Jose, P R Kshirsagar, Bui Thanh Hung, Prasun Chakrabarti , M M Khanapurkar , “Internet of Things and its applications in Industry 4.0 for Smart Waste Management”, Journal of Environmental Protection and Ecology , 22(6): 2368-2378,2021.
63. Vivek Jain, Prasun Chakrabarti , Massimo Mitolo , Zbigniew Leonowicz, Michal Jasinski , Alexander Vinogradov, , Vadim Bolshev , “A Power-Efficient Multichannel Low-Pass Filter Based on the Cascaded Multiple Accumulate Finite Impulse Response (CMFIR) Structure for Digital Image Processing”, Circuits, Systems and Signal Processing , 2022.
64. Akhilesh Kumar Sharma, Shamik Tiwari, Gaurav Aggarwal, Nitika Goenka, Anil Kumar, Prasun Chakrabarti, Tulika Chakrabarti, Radomir Gono, Zbigniew Leonowicz, Michal Jasiński , “Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network”, IEEE Access , 10 : 17920-17932, 2022.
65. Tanima Bhattacharya, Debashrita Das, Giselle A. Borges e Soares, Prasun Chakrabarti, Zhaoquan Ai, Hitesh Chopra, Alexandru Madalin Hasan , Simona Cavalu , “Novel Green Approaches for the Preparation of Gold Nanoparticles and Their Promising Potential in Oncology”, Processes , 10(2) : 426, 2022
66. Imayanmosha Wahlang, Arnab Kumar Maji , Goutam Saha, Prasun Chakrabarti, Michal Jasinski , Zbigniew Leonowicz, Elzbieta Jasinska , “Brain Magnetic Resonance Imaging Classification using Deep Learning Architectures with gender and age” , Sensors , 22 :1766, 2022.
67. S. Hemalatha, Pravin R. Kshirsagar, Hariprasath Manoharan, N. Vasantha Gowri, A. Vani, Sana Qaiyum, P. Vijayakumar, Vineet Tirth,Sulaima Lebbe Abdul Haleem, Prasun Chakrabarti and Dawit Mamiru Teressa “Novel Link Establishment Communication Scheme against Selfish Attack Using Node Reward with Trust Level Evaluation Algorithm in MANET” ,Wireless Communications and Mobile Computing , 2022.
68. Gaurav Kumawat, Santosh Kumar Viswakarma, Prasun Chakrabarti , Pankaj Chittora, Tulika Chakrabarti , Jerry Chun-Wei Lin, “Prognosis of Cervical Cancer Disease by Applying Machine Learning Techniques”, Journal of Circuits, Systems, and Computers, 2022.
69. M Vasaghi , S Z Mousavi, M Owrangi, M Zadeh, Ali Kamali, Mehdi Dehghani, Prasun Chakrabarti, Mohammad Nami , “Neural Correlates in Functional Brain Mapping among Breast Cancer Survivors Receiving Different Chemotherapy Regimens; a qEEG/HEG – based Investigation”, Japanese Journal of Clinical Oncology, 2022.
70. Maryam Owrangi, Mohammad Javad Gholamzadeh, Maryam Vasaghi Gharamaleki, Seyedeh Zahra Mousavi, Ali-Mohammad Kamali, Mehdi Dehghani, Prasun Chakrabarti , Mohammad Nami , “Comparative analysis of the chemotherapy-related cognitive impairments in patients with breast cancer: a community-based research”, Cancer Investigation,2022.
71. Hariprasath Manoharan, Radha Krishna Rambola, Pravin R. Kshirsagar, Prasun Chakrabarti, Jarallah Alqahtani, Quadri Noorulhasan Naveed, Saiful Islam, Walelign Dinku Mekuriyaw, "Aerial Separation and Receiver Arrangements on Identifying Lung Syndromes Using the Artificial Neural Network", Computational Intelligence and Neuroscience, 2022.
72. Negin Farhadian , Alireza Moradi , Mohammad Nami , Kamran Kazemi , Mohammad Rasoul Ghadami , Alireza Ahmadi , Reza Mohammadi , Mohammad Naseh Talebi , Prasun Chakrabarti , Babak Kateb , Habibolah Khazaie , “The nexus between sleep disturbances and mental health outcomes in military staff – a systematic review”, Sleep Science , 15(3),2022.
73. Chakrabarti P., Bhuyan B., Chaudhuri A. and Bhunia C.T., “A novel approach towards realizing optimum data transfer and Automatic Variable Key(AVK)” , International Journal of Computer Science and Network Security, 8(5), pp.241-250, 2008.
74. Chakrabarti P. , Goswami P.S., “Approach towards realizing resource mining and secured information transfer”, International Journal of Computer Science and Network Security, 8(7), pp.345-350, 2008.
75. Chakrabarti P., Choudhury A., Naik N. , Bhunia C.T., “Key generation in the light of mining and fuzzy rule”, International Journal of Computer Science and Network Security, 8(9), pp.332-337, 2008.
76. Chakrabarti P., De S.K., Sikdar S.C., “Statistical Quantification of Gain Analysis in Strategic Management” , International Journal of Computer Science and Network Security,9(11), pp.315-318, 2009.
77. Chakrabarti P. , Basu J.K. , Kim T.H., “Business Planning in the light of Neuro-fuzzy and Predictive Forecasting”, Communications in Computer and Information Science , 123, pp.283-290, 2010.
78. Prasad A. , Chakrabarti P., “Extending Access Management to maintain audit logs in cloud computing", International Journal of Advanced Computer Science and Applications ,5(3),pp.144-147, 2014.
79. Sharma A.K., Panwar A., Chakrabarti P. ,Viswakarma S., “Categorization of ICMR Using Feature Extraction Strategy and MIR with Ensemble Learning”, Procedia Computer Science, 57,pp.686-694,2015.
80. K. Sridhar, Ajay Reddy Yeruva, Renjith P N, Asmita Dixit, Aatif Jamshed, and Ravi Rastogi, “Enhanced Machine learning algorithms Lightweight Ensemble Classification of Normal versus Leukemic Cel”, Journal of Pharmaceutical Negative Results, Vol.13, no.SI-9, pp. 496–505, 2022.
81. Nita S. patil, Sanjay M. Patil, Chandrashekhar M. Raut, Amol P. Pande, Ajay Reddy Yeruva, and Harish Morwani, “An Efficient Approach for Object Detection using Deep Learning”, Journal of Pharmaceutical Negative Results, Vol.13, no.SI-9, pp. 563–572, 2022.
82. F. Karim, H. Abulkasim, E. Alabdulkreem, N. Ahmed, M. Jamjoom, and S. Abbas, "Improvements on new quantum key agreement protocol with five-qubit Brown states," Modern Physics Letters A, vol. 37, p. 2250128, 2022.
83. H. Abulkasim, E. Alabdulkreem, and S. Hamad, "Improved Multi-party Quantum Key Agreement with Four-qubit Cluster States," CMC-Computers Materials & Continua, vol. 73, pp. 225-232, 2022.
84. H. Abulkasim, E. Alabdulkreem, F. Karim, N. Ahmed, M. Jamjoom, M. Hadjouni, et al., "Cryptanalysis and Improvements on Quantum Key Agreement Protocol Based on Quantum Search Algorithm," Security and Communication Networks, vol. 2022, 2022
85. H. Abulkasim, M. Jamjoom, and S. Abbas, "Securing Copyright Using 3D Objects Blind Watermarking Scheme," CMC-Computers Materials & Continua, vol. 72, pp. 5969-5983, 2022.
86. Elhadad, S. Hamad, A. Khalifa, and H. Abulkasim, "A steganography approach for hiding privacy in video surveillance systems," in Digital Media Steganography, ed: Elsevier, 2020, pp. 165-187.
87. Elhadad, S. Abbas, H. Abulkasim, and S. Hamad, "Improving the security of multi-party quantum key agreement with five-qubit Brown states," Computer Communications, vol. 159, pp. 155-160, 2020.
88. M. Jamjoom, H. Abulkasim, and S. Abbas, "Lightweight Authenticated Privacy-Preserving Secure Framework for the Internet of Vehicles," Security & Communication Networks, 2022.
89. H. Abulkasim and A. Alotaibi, "Improvement on ‘multiparty quantum key agreement with four-qubit symmetric W state’," International Journal of Theoretical Physics, vol. 58, pp. 4235-4240, 2019.
90. B. R. Rajagopal, B. Anjanadevi, M. Tahreem, S. Kumar and M. Debnath, and K. Tongkachok, "Comparative Analysis of Blockchain Technology and Artificial Intelligence and its impact on Open Issues of Automation in Workplace," 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022, pp. 288-292.
91. B.R. Rajagopal, E. Kannapiran, A.D. Gupta, M.Momin and D.S.K. Chakravarthy, "The future prospects and challenges of implementing big data in healthcare management using Structural equation model analysis," Bull. Env. Pharmacol. Life Sci., Spl Issue [1] 2022, pp. 1111-1119, 2022.
92. N.P. Krishnam, M.S. Ashraf, B.R. Rajagopal,P.Vats and D.S.K. Chakravarthy and S.M. Rafi, "Analysis Of Current Trends, Advances And Challenges Of Machine Learning (Ml) And Knowledge Extraction: From Ml To Explainable AI," Industry Qualifications The Institute of Administrative Management UK, Vol.58, pp. 54-62, May 2022.
93. A.D.Gupta, S.M. Rafi, B.R. Rajagopal, T.Milton and S.G.Hymlin, "Comparative analysis of internet of things (IoT) in supporting the health care professionals towards smart health research using correlation analysis," Bull.Env.Pharmacol. Life Sci., Spl Issue [1] 2022, pp. 701-708, 2022.
94. Roja Boina, “Assessing the Increasing Rate of Parkinson's Disease in the US and its Prevention Techniques”, International Journal of Biotechnology Research and Development, 3(1), pp. 1-18, 2022.
95. R. Senthilkumar, B. G. Geetha, "Asymmetric Key Blum-Goldwasser Cryptography for Cloud Services Communication Security," Journal of Internet Technology, vol. 21, no. 4 , pp. 929-939, Jul.2020.
96. Senthil kumar, R., Geetha, B.G. Signature Verification and Bloom Hashing Technique for Efficient Cloud Data Storage. Wireless Pers Commun 103, 3079–3097,2018.
97. K. Kankaew (eds), Global Air Transport Management and Reshaping Business Models for the New Era. Hershey: IGI Global, 2022.
98. B. Worasuwannarak, K. Kankaew, “The image value of Southeast Asia airlines: A study of attribute that led to image value of choosing Southeast Asia airlines by Mean-End theory approach,” In Global Air Transport Management and Reshaping Business Models for the New Era, K. Kankaew, Eds. Hershey: IGI Global, 2022, pp. 192-206.
99. K. Kankaew, K. Kangwol, A. Guzikova, S. Kungwol, B. Sitikarn, T. Suksutdhi, “Organizational Structure Enhancing Airlines Efficiency Amid the Pandemic: Low-Cost Carriers in Thailand as a Case,” GeoJournal of Tourism and Geosites, vol. 38, pp. 1189-1194, 2021.
100. K. Kankaew, E. Tansiri, R. Waramontri, N. Paethrangsi, K. Kungwol, B. Sitikarn, K. Charernit, “Coping with the changes that challenges: The business and education sector in Thailand 4.0,”International Journal of Asian Business and Information Management, vol. 13, 2021.
101. B. Sitikarn, K. Kankaew, Y. Sawangdee, “Coffee value symbiosis toward a mountain geographical community-based tourism in Thailand,” GeoJournal of Tourism and Geosites, vol. 42, pp. 657-663, 2022.
102. R. Agarwal and N. Rao, “ML-based classifier for Sloan Digital Sky spectral objects,” Neuroquantology, vol. 20, no. 6, pp. 8329–8358, 2022.
103. R. Agarwal, “Edge Detection in Images Using Modified Bit-Planes Sobel Operator,” 2014, pp. 203–210.
104. A. Rashi and R. Madamala, “Minimum relevant features to obtain ai explainable system for predicting breast cancer in WDBC,” Int J Health Sci (Qassim), Sep. 2022, doi: 10.53730/ijhs.v6nS9.12538.
105. R. A. A. Agarwal, “Decision Support System designed to detect yellow mosaic in Pigeon pea using Computer Vision,” Design Engineering (Toronto), vol. 8, pp. 832–844, 2021.
106. R. Agarwal, S. Hariharan, M. Nagabhushana Rao, and A. Agarwal, “Weed Identification using K-Means Clustering with Color Spaces Features in Multi-Spectral Images Taken by UAV,” in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Jul. 2021, pp. 7047–7050.
107. D.K. Srivastava and B. Roychoudhury, “Words are important: A textual content based identity resolution scheme across multiple online social networks,” Knowledge-Based Systems, vol. 195, 105624, 2020.
108. S. R. Vadyala, S. N. Betgeri, J. C. Matthews, and E. Matthews, “A review of physics-based machine learning in civil engineering.” Results in Engineering, vol. 13, p. 100316, 2022.
109. S. R. Vadyala, S. N. Betgeri, and N. P. Betgeri, “Physics-informed neural network method for solving one-dimensional advection equation using PyTorch.” Array, vol. 13, p. 100110, 2022.
110. S. R. Vadyala and E. A. Sherer, “Natural Language Processing Accurately Categorizes Indications, Findings and Pathology Reports From Multicenter Colonoscopy (Preprint).” 2021, doi: 10.2196/preprints.32973.
111. S. R. Vadyala, S. N. Betgeri, E. A. Sherer, and A. Amritphale, “Prediction of the number of COVID-19 confirmed cases based on K-means-LSTM.” Array, vol. 11, p. 100085, 2021.
112. J. A. Zarnan, W. M. Hameed , A. B .Kanbar, “New Numerical Approach for Solution of Nonlinear Differential Equations ,” Journal of Hunan University., 49(7), 163-170, July 2022.
113. J.A. Zarnan. On the numerical solution of Urysohn integral equation using Chebyshev polynomial. International Journal of Basic & Applied Sciences IJBAS-IJENS , 16 (06), 23-27, (2016).
114. J.A. Zarnan, Numerical solution of Volterra integral equations of Second Kind. Int. J. Comput. Sci. Mobile Comput., 5(7), 509-517, (2016).
115. J.A. Zarnan, A novel approach for the solution of a class of Urysohn integral equations using Bernstein polynomials. Int. J. Adv. Res , 5 (1), 2156-2162.(2017).
116. J. A. Zarnan, W. M. Hameed.. A comparison study between two approaches for solution of Urysohn integral equation by using statistical method, International Journal of Advances in Applied Mathematics and Mechanics, 6(1), 65-68. (2018)
117. J.A. Zarnan. Numerical Solutions of Nonlinear Fredholm Integral Equations of the Second Kind. Journal of Applied Computer Science & Mathematics, 13(27), 39-41. (2019).
118. J.A. Zarnan. Nonlinear integral equations solution method based on operational matrices of Chebyshev, International Journal of Advanced and Applied Sciences, 7(5), 104-110. (2020).
119. R. Oak, M. Du, D. Yan, H. Takawale, and I. Amit, “Malware detection on highly imbalanced data through sequence modeling,” in Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security - AISec’19, 2019.
120. R. Oak, “Poster: Adversarial examples for hate speech classifiers,” in Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019.
121. R. Oak and M. Khare, “A novel architecture for continuous authentication using behavioural biometrics,” in 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC), 2017, pp. 767–771.
122. R. Oak, “A literature survey on authentication using behavioural biometric techniques,” in Intelligent Computing and Information and Communication, Singapore: Springer Singapore, 2018, pp. 173–181.
123. M. Khare and R. Oak, “Real-time distributed denial-of-service (DDoS) attack detection using decision trees for server performance maintenance,” in Asset Analytics, Singapore: Springer Singapore, 2020, pp. 1–9.
124. Satyanaga, H. Rahardjo, and Q. Zhai, “Estimation of unimodal water characteristic curve for gap-graded soil,” Soils and Foundations, vol. 57, no. 5, pp. 789–801, 2017.
125. Satyanaga & H. Rahardjo, “Unsaturated shear strength of soil with bimodal soil-water characteristic curve,” Geotechnique, Vol. 69, No. 9, pp. 828-832, 2019.
126. Satyanaga, H. Rahardjo & C.J. Hua, “Numerical simulation of capillary barrier system under rainfall infiltration,” ISSMGE International Journal of Geoengineering Case Histories, Vol 5, No 1, pp. 43-54, 2019.
127. S. Pandya, T. R. Gadekallu, P. K. Reddy, W. Wang and M. Alazab, "InfusedHeart: A Novel Knowledge-Infused Learning Framework for Diagnosis of Cardiovascular Events," in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2022.3151643.
128. H. Bulut and R. F. Rashid , "The Zooplankton Of Some Streams Flow Into The Zab River, (Northern Iraq)", Ecological Life Sciences, vol. 15, no. 3, pp. 94-98, Jul. 2020
129. Rashid, R. F., Çalta, M., & Başusta, A. (2018). Length-Weight Relationship of Common Carp (Cyprinus carpio L., 1758) from Taqtaq Region of Little Zab River, Northern Iraq. Turkish Journal of Science and Technology, 13(2), 69-72.
130. Pala, G., Caglar, M., Faruq, R., & Selamoglu, Z. (2021). Chlorophyta algae of Keban Dam Lake Gülüşkür region with aquaculture criteria in Elazıg, Turkey. Iranian Journal of Aquatic Animal Health, 7(1), 32-46.
131. Rashid, R. F., & Basusta, N. (2021). Evaluation and comparison of different calcified structures for the ageing of cyprinid fish leuciscus vorax (heckel, 1843) from karakaya dam lake, turkey. Fresenius environmental bulletin, 30(1), 550-559.
132. Rashid, R. (2017). Karakaya Baraj Gölünde (Malatya-Türkiye) yaşayan aspius vorax'da yaş tespiti için en güvenilir kemiksi yapının belirlenmesi/Determination of most reliable bony structure for ageing of aspius vorax inhabiting Karakaya Dam Lake (Malatya-Turkey).
133. Kumar, Dhurjati .Rajeswara , Lanke, Govinda Rajulu, “Survey Of Cloud Computing and Its Development And Problem Solving,” International Journal of Innovative Research Explorer(ijire), vol. 6, no. 11, p. 8, 2018.
134. Govinda rajulu Lanke and T.Bhuvaneswari, “Giving Intelligence to SMEs Business,” International Journal of Business Intelligent, vol. 04, no. 02, p. 5, 2015.
135. Lanke, Govinda Rajulu, “The Certainty of Bi System For SME,” IJCSERD, vol. 1, no. 1, p. 4, 2014.
136. Lanke, Govinda Rajulu, “Strategic objectives modeling architecture for Real-Time Business Intelligence (BI),” International Journal of Scientific and Technology Research, vol. 2, no. 6, p. 4, 2013.
137. Lanke, Govinda Rajulu. (2013), “Adaptation of Saas In B Usiness I Ntelligence For SME,” IJOAR .org, vol. 1, no.3, p.14, 2013.
138. Lanke, Govinda Rajulu, “The Inevitability of BI systems for SME,” International Conference On Emerging Trends In Science, Engineering And Technology, vol. 1, no. 3, p. 14, 2012.
139. Satyanaga & H. Rahardjo, “Role of unsaturated soil properties in the development of slope susceptibility map,” Geotechnical Engineering. Vol 175, No 3, pp. 276-288, 2022.
140. Satyanaga & H. Rahardjo, “Stability of unsaturated soil slopes covered with Melastoma Malabathricum in Singapore,” Geotechnical Engineering. Vol 7, No 6, pp. 393-403. 2020.
141. Satyanaga, H. Rahardjo, Z.H. Koh & H. Mohamed. “Measurement of a soil-water characteristic curve and unsaturated permeability using the evaporation method and the chilled-mirror method,” Journal of Zhejiang University-SCIENCE A. Vol 20, No 5, pp. 368-375, 2019.
142. Satyanaga, N. Bairakhmetov, J.R. Kim & S.-W. Moon. “Role of bimodal water retention curve on the unsaturated shear strength,” Applied Sciences. Vol 12, No 3, pp. 1266. 2022.
143. Parvathi K, Santhi T, Makeswari M, Nirmaladevi V, Rathinam R. Ricinus Communis Activated Charcoal Preparation, Characterization and Application for Methyl Red Adsorptive Removal. Orient J Chem 2022;38(1), Pg. 110-117.
144. Rathinam R, Brindha T, Petchiammal M, Mohamed Ibrahim A, Photo-Electrocatalytic Degradation Of Aqueous Rhodamine B Dye Using Titanium Electrodes Coated With RuO2/IrO2/TaO2, Indian Journal of Environmental protection, 41(12), pp.1365-1371, 2021.
145. Umadevi M, Rathinam R, Brindha T, Dheenadhayalan S, Pattabhi S, Application of Electro- Chemical Oxidation for the Treatment of Reactive Red 195 using Graphite Electrode, Asian Journal of Biological and Life Sciences, 2022,10 (3), 620-625.
146. Brindha T, Rathinam R, Dheenadhayalan S, Sivakumar R. Nanocomposite Coatings in Corrosion Protection Applications: An Overview . Orient J Chem 2021;37(5), Pg.1062-1067.
147. Parvathi K, Santhi T, Makeswari M, Nirmaladevi V, Rathinam R (2022) Ricinus Communis Activated Charcoal Preparation, Characterization and Application for Methyl Red Adsorptive Removal. Orient Journal of Chemistry, 38(1), 110-117.
148. Rathinam R, Brindha T, Petchiammal M, Mohamed Ibrahim A (2021) Photo-Electrocatalytic Degradation Of Aqueous Rhodamine B Dye Using Titanium Electrodes Coated With RuO2/IrO2/TaO2, Indian Journal of Environmental protection, 41(12), 1365-1371,
149. A, V. V. ., T, S. ., S, S. N. ., & Rajest, D. S. S. . (2022). IoT-Based Automated Oxygen Pumping System for Acute Asthma Patients. European Journal of Life Safety and Stability (2660-9630), 19 (7), 8-34.
150. A. A. Shaltout, N. Y. Mostafa, M. S. Abdel-Aal, and H. A. Shaban, “Electron number density and temperature measurements in laser produced brass plasma,” EPJ Appl. Phys., vol. 5, no. 1, pp. 11003–11010, 2010.
151. Brindha T, Rathinam R, Dheenadhayalan S, Sivakumar R (2021). Nanocomposite Coatings in Corrosion Protection Applications: An Overview. Orient J Chem., 37(5), 1062-1067.
152. C. A. Valades Cruz et al., “Quantitative nanoscale imaging of orientational order in biological filaments by polarized superresolution microscopy,” Proc. Natl. Acad. Sci., vol. 113, no. 7, pp. E820–E828, 2016.
153. D.K. Srivastava and B. Roychoudhury, “Understanding the Factors that Influence Adoption of Privacy Protection Features in Online Social Networks,” Journal of Global Information Technology Management, vol.24, no.3, pp. 164-182, August 2021
154. E. Miron et al., “Chromatin arranges in chains of mesoscale domains with nanoscale functional topography independent of cohesin,” Sci. Adv., vol. 6, no. 39, pp. eaba8811, 2020.
155. E. Parimalasundar, S. Jayakumar, R. Ravikumar and K. Suresh, “Investigation analysis of open circuit and short circuit fault on cascaded H-bridged multilevel inverter using artificial neural network approach,” International Journal of Electrical and Electronics Research (IJEER), vol. 10, no. 2, pp.320-326.
156. Govindaraj M, Babu S., Rathinam R. Vasini V, Vijayakumar K (2022) Integrated electrocoagulation–photoelectrocatalytic oxidation for effective treatments of aqueous solution bisphenol-A using green-synthesized ZnO nanoparticles. Chem. Pap.
157. H. A. Shaban and A. Seeber, “Monitoring global chromatin dynamics in response to DNA damage,” Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis, vol. 821, no. May–December 2020, p. 111707, 2020.
158. H. A. Shaban and A. Seeber, “Monitoring the spatio-temporal organization and dynamics of the genome,” Nucleic Acids Res., vol. 48, no. 7, pp. 3423-3434, Mar. 2020.
159. H. A. Shaban, A. A. Shaltout, M. Abdou, E. A. Al Ashker, and M. Elgohary, “Determination of Cu, Zn, and Se in microvolumes of liquid biological samples,” J. Appl. Spectrosc., vol. 77, no. 6, pp. 771-777, 2011.
160. H. A. Shaban, C. A. Valades-Cruz, J. Savatier, and S. Brasselet, “Polarized super-resolution structural imaging inside amyloid fibrils using Thioflavine T,” Sci. Rep., vol. 7, no. 1, pp. 1-10, 2017.
161. H. A. Shaban, R. Barth, and K. Bystricky, “Formation of correlated chromatin domains at nanoscale dynamic resolution during transcription,” Nucleic Acids Res., vol. 46, no. 13, p. e77-e77, Apr. 2018.
162. H. A. Shaban, R. Barth, and K. Bystricky, “Navigating the crowd: visualizing coordination between genome dynamics, structure, and transcription,” Genome Biology, vol. 21, no. 1, pp. 1-18, 2020.
163. H. A. Shaban, R. Barth, L. Recoules, and K. Bystricky, “Hi-D: nanoscale mapping of nuclear dynamics in single living cells,” Genome Biol., vol. 21, no. 1, p. 95, 2020.
164. Ismail R M A, Rathinam R, Al-Jamal M, Ramachandran S K, Al-Mattarneh H, Pant B, Patil P Y (2022) Mn-BIM Based Photo-Catalytic Degradation of Hazardous Industrial Organic Pollutants in Fresh Water. Advances in Science and Technology. 117, 53-58.
165. J. A. Zarnan, A Novel Approach for the Solution of a Love’s Integral Equations Using Bernstein Polynomials, IOSR Journal of Mathematics, 13(1), 10-13. (2017),
166. J. A. Zarnan, W. M. Hameed , A. B .Kanbar, A Novel Approach for the Solution of a Love's Integral Equations Using Chebyshev Polynomials, International Journal of Advances in Applied Mathematics and Mechanics. 7(3), 96-01, (2020).
167. J. A. Zarnan, W. M. Hameed, On The Numerical Eigenvalues of a Spring-Mass System. International Journal of Computer Science and Mobile Computing, 5(8), 51-54. (2016).
168. J.A. Zarnan. A Novel Approach for the Solution of Urysohn Integral Equations Using Hermite Polynomials. International journal of applied Engineering Research, 12(24), 14391-14395. (2017).
169. Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2022). The use of Internet of Things (Iot) Technology in the Context of “Smart Gardens” is Becoming Increasingly Popular. International Journal of Biological Engineering and Agriculture, 1(2), 1–13.
170. K. Suresh and E. Parimalasundar, "A Modified Multi Level Inverter with Inverted SPWM Control," in IEEE Canadian Journal of Electrical and Computer Engineering, vol. 45, no. 2, pp. 99-104, Spring 2022.
171. K. Suresh and E. Parimalasundar, “A novel dual-leg DC-DC converter for wide range DC-AC conversion,” Automatika, vol. 63, no. 3, pp.572-579, 2022.
172. Karthick L, Rathinam R, Abdul Kalam Sd., Ganesh Babu Loganathan, Sabeenian R S, Joshi S K, Ramesh L, Mohammed Ali H, Wubishet Degife Mammo (2022) Influence of Nano-/Microfiller Addition on Mechanical and Morphological Performance of Kenaf/Glass Fibre-Reinforced Hybrid Composites. Journal of Nanomaterials, Article ID 9778224, 10 pages ,
173. M. I. Abdou, H. A. Shaban, M. I. El Gohary, “Changes in serum zinc, copper and ceruloplasmin levels of whole body gamma irradiated rats”. Tenth Radiation Physics & Protection Conference, Cairo, Egypt; 27–30 November 2010. pp 17–26.
174. Parimalasundar Ezhilvannan and Suresh Krishnan, “An efficient asymmetric direct current (DC) source configured switched capacitor multi-level inverter,” Journal Européen des Systèmes Automatisés, vol. 53, no. 6, pp.853-859, 2020.
175. R. Barth and H. A. Shaban, “Spatially coherent diffusion of human RNA Pol II depends on transcriptional state rather than chromatin motion,” Nucleus, vol. 13, no. 1, pp. 194–202, Dec. 2022.
176. R. Barth, G. Fourel, and H. A. Shaban, “Dynamics as a cause for the nanoscale organization of the genome,” Nucleus, vol. 11, no. 1, pp. 83–98, Jan. 2020, doi: 10.1080/19491034.2020.1763093.
177. R. Barth, K. Bystricky, and H. A. Shaban, “Coupling chromatin structure and dynamics by live super-resolution imaging,” Sci. Adv., vol. 6, no. 27, pp. eaaz2196, 2020, doi:10.1126/sciadv.aaz2196.
178. R. Regin, Steffi. R, Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest (2022), “Internet of Things (IoT) System Using Interrelated Computing Devices in Billing System”, Journal of Advanced Research in Dynamical and Control Systems, Vol.14, no.1, pp. 24-40.
179. R. Steffi, G. Jerusha Angelene Christabel, T. Shynu, S. Suman Rajest, R. Regin (2022), “ A Method for the Administration of the Work Performed by Employees”, Journal of Advanced Research in Dynamical and Control Systems, Vol.14, no.1, pp. 7-23.
180. Rajest, S. S. ., Regin, R. ., T, S. ., G, J. A. C. ., & R, S. . (2022). Production of Blockchains as Well as their Implementation. Vital Annex : International Journal of Novel Research in Advanced Sciences, 1(2), 21–44.
181. Rathinam, R, Singh D P, Dutta A., Rudresha S, Ali S R, Chatterjee P (2022) TiO2 Nanoparticles Based Peroxidase Mimics for Colorimetric Sensing of Cholesterol and Hydrogen Peroxide. Advances in Science and Technology, 117, 85-90.
182. Regin, D. R., Rajest, D. S. S., T, S., G, J. A. C., & R, S. (2022). An Automated Conversation System Using Natural Language Processing (NLP) Chatbot in Python. Central Asian Journal Of Medical And Natural Sciences, 3(4), 314-336.
183. S. S. Rajest, R. Regin, S. T, J. A. C. G, and S. R, “Improving Infrastructure and Transportation Systems Using Internet of Things Based Smart City”, CAJOTAS, vol. 3, no. 9, pp. 125-141, Sep. 2022.
184. Singh A, Rathinam R, Yadav A K, Vasudevan R, Kulandhaisamy I, Purushotham M, Patil P Y. (2022) A Simple Approach of CQDs@MoS2 Nanosheets for Turn-On Fluorescence Sensor for Detection of Pb2+ Ions. Key Engineering Materials, 928, 33-38.
185. T, S., Rajest, S. S., Regin, R., Christabel G, J. A., & R, S. (2022). Automation And Control Of Industrial Operations Using Android Mobile Devices Based On The Internet Of Things. Central Asian Journal of Mathematical Theory and Computer Sciences, 3(9), 1-33.
186. Umadevi M, Rathinam R, Brindha T, Dheenadhayalan S, Pattabhi S (2022) Application of Electro- Chemical Oxidation for the Treatment of Reactive Red 195 using Graphite Electrode, Asian Journal of Biological and Life Sciences, 10(3), 620-625.
Published
2022-11-30
How to Cite
Srinivasan, M., & Soji, E. S. (2022). Kidney Tumour Segmentation and Classification Using Deep Learning. Central Asian Journal of Medical and Natural Science, 3(6), 247-269. https://doi.org/10.17605/cajmns.v3i6.1202
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Articles
