Natural Language Processing Based Disaster Management Framework
Keywords:
Sentiment Analysis, Machine Learning, Natural Language Processing, Data Analysis, Big Data
Abstract
In times of crisis, more and more people are turning to social media to reach out to others and ask for assistance. Such requests must be mined from the large data pool in order to provide prompt assistance during emergency circumstances. How well relief efforts and disaster recovery go depends on how people feel during and after a crisis. In order to aid in the speedy recovery of the afflicted area, we want to investigate and comprehend the underlying tendencies in sentiment to disasters and geographically connected sentiment. The proposed DRM Framework (Disaster Recovery and Management Framework) takes in information about disasters from various sources, organises it according to the needs of the affected people, and uses a custom-built Natural Language Processing (NLP) model to categorise the severity level for a given geographical location. A machine learning algorithm is used to categorise the disaster data and analyse public opinion. The suggested methodology has important implications for disaster response and recovery, including the real-time categorization and classification of Big Data. Using the results of this investigation, first responders and rescue workers will be better prepared to deal with the dynamic nature of crisis situations.
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113. H. Bohra, A. Ghosh, A. Bhaskar, “Design and Analysis of Spurious Harmonics Suppressed Microstrip Ultrawide Band Filter using Modified Defected Ground Structure Techniques”, Wireless Personal Communications, Springer US, Vol. 121, Issue 1, P. 361-380, Nov. 2021.
114. H. Bohra, A. Ghosh, A. Bhaskar, A. Sharma, “A Miniaturized Ultra-Wideband Low-Pass Microstrip Filter Design using Modified Defected Ground Structure Techniques”, Invertis University, Vol. 14, Issue 1, P. 25-30, 2021.
115. H. Patidar, P. Chakrabarti, A. Ghosh, “Parallel Computing Aspects in Improved Edge Cover Based Graph Coloring Algorithm”, Indian Journal of Science and Technology, Vol. 10, P. 25, Jul. 2017.
116. A. Ghosh, P. Chakrabarti, P. Siano, “Approach towards realizing the Security Threats for Mobile IPv6 and Solution Thereof”, International Journal of Computer Applications, Foundation of Computer Science, Vol. 90, Issue 10, Jan. 2014.
117. A. Ghosh, P. Chakrabarti, D. Bhatnagar, “Performance Evaluation of Optimized Mobile IP Protocol Vis-à-vis Bit Map Indexing Method”, International Journal of Computer Applications, Foundation of Computer Science, Vol. 75, Issue: 2, Jan. 2013.
118. M. Farman, A. Akgül, M.T. Tekin, M. M. Akram, A. Aqeel , E. E. Mahmoud, I. S. Yahia, “Fractal fractional-order derivative for HIV/AIDS model with Mittag-Leffler kernel”, Alex. Eng. J, vol. 61, no. 12,pp. 10965-10980, April 2022.
119. K.S. Nisar, A. Aqeel, M. Inc, M. Farman, H. Rezazadeh, L. Akinyemi, M.M. Mannan, “Analysis of dengue transmission using fractional order scheme”, Aims Math, vol. 7 no. 5, pp. 8408–8429, May 2022.
120. M.M. Akram, M. Farman, A. Akgül, M. U. Saleem, A. Ahmad, M. Partohaghigh, F. Jarad, “Analysis of HIV/AIDS model with Mittag-Leffler kernel”, Aims Math, vol. 7 no. 7, pp. 13383-13401, July 2022.
121. Hashem Shatnawi, “Computational Fluid Flow Model for the Development of an Arterial Bypass Graft”, CFD Lett., vol. 14, no. 10, pp. 99-111, Oct. 2022. https://doi.org/10.37934/cfdl.14.10.99111
122. Shaikh Abdul Hannan, “An Overview of Big Data and Hadoop”, International Journal of Computer Application”, Volume 154, Number 10,, November 2016, New York, USA.
123. Shaikh Abdul Hannan, An Examination of the Blockchain Technology: Challenges and Future Opportunities, International Journal of Engineering and Computer Science, Volume11 Issue 09 November2022, Page No.25612-25619.
124. Shaikh Abdul Hannan, “Application and Scope of Blockchain in Technical Research and Higher Education” Vol 20, Issue 15, page 6185-6191, NeuroQuantology, Nov 2022.
125. Shaikh Abdul Hannan, Manjusha Hivre, Lata, M., Krishna, B. H., Sathyasiva, S., & Arshad, M. W. “Brain damage detection using Machine learning approach”, International Journal of Health Sciences, Special Issue 7, 27 Sept. 2022, PP 4910-4924.
126. Dubey, A., Mujoo, Shaikh Abdul Hannan., Satpathy, G., Arshad, M. W., & Manikandan, E., “Cancer detection using RNA sequencing and deep learning”, International Journal of Health Sciences, Special Issue 7, 27 Sept. 2022, PP 4925-4939.
127. Arun Prasad, Shaikh Abdul Hannan, Kavita Panjwani, Muthe Ramu, Kawaender Singh Sidhu, Nagabhusanam Tida, “Detailed Investigation of the role of Artificial Intelligence in stock market predictions, British Journal of Administrative Management, Vol 58, Issue 06, 6th Sept 2022, UK.
128. Swati Saxena, Shaikh Abdul Hannan, “Women Warrior – Android Mobile Application for Women Security” International Journal of Computer Science and Information Technologies, Volume 13, Issue 3, PP 76-84, India, June 2022.
129. Anupriya Kambe, Shaikh Abdul Hannan, Ramesh Manza and Mohammad Eid Alzahrani, “Prediction of Prediabetes, No Diabetes and Diabetes Mellitus -2 usnig Simple Decision Tree Classification” Springer, Rising Threats in Expert Applications and Solutions. 2021 at IIS University, 2021.
130. Swati Saxena, Shaikh Abdul Hannan, “A Quaitative Review on Intervention of Robotics in Medical Science”, International Journal of Computer Applications, Vol. 179, Number 46, 2021, USA.
131. Anupriya Kamble, Sonali Gaikwad Shaikh Abdul Hannan, Mohammed Alwazzab Alzaharani, Ramesh Manza, “Prediction of the State of Diabetes Disorder using Simple Decision Tree Classification Technique”, Pensee Journal, Vol 51, issue 04, 2021.
132. Yogesh Rajput, Shaikh Abdul Hannan, “Design New Wavelet Filter for Detection and Grading of Non-proliferative Diabetic Retinopathy Lesions”, International Conference on Recent Trends in Image Processing and Pattern Recognition, Jan 2020, Springer, Singpore.
133. Sagar Vakhare, Ramesh Manza, Abdul Hannan Shaikh and Anubha Jain, “Time Series Analysis and Forecasting of Temperatures Records in Aurangabad District of Maharashtra”, Springer FICR International Conference on Rising Threats in Expert Applications and Solutions. 2020 at IIS University, 17-19 Jan, 2020 Jaipur.
134. Y. M. Rajput, A. H. Hannan, M. E. Alzahrani, R. R. Manza, D. D. Patil, “EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques–A Review”, International Journal of Computer Sciences and Engineering, Vol 6, Issue 9, Sep 2018.
135. Mohammad Eid Alzaharani, Shaikh Abdul Hannan, “Diagnosis and Medical Prescription of Heart Disease Using FFBP, SVM and RBF”, Issue,1, Vol 5, , KKU Journal of Basic and Applied Sciences, Mar 2019 , Page 6-15.
136. Santosh Maher, Shaikh Abdul Hannan, Sumegh Tharewal, K. V. Kale" HRV based Human Heart Disease Prediction and Classification using Machine Learning " December 2019, (Vol. 17 No. 2 International Journal of Computer Science and Information SecApplicatiion, New York, USA.
137. Akram Ablsubari, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, Rakesh Ramteke, "Composite Feature Extraction and Classification for Fusion of Palmprint and Iris Biometric Traits", Engineering Technology and Applied Science Research, Volume 9, No 1, Feb 2019, Greece.
138. Santosh K. Maher, Sumegh Tharewal, Abdul Hannan, “Review on HRV based Prediction and Detection of Heart Disease”, International Journal of Computer Applications (0975 – 8887), Pag 7-12, Volume 179 – No.46, June 2018.
139. Yogesh Rajput, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, D. Patil Ramesh Manza, Design and Development of New Algorithm for person identification Based on Iris statistical features and Retinal blood Vessels Bifurcation points” ” International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R), December 21-22, 2018, India.
140. Santosh K. Maher, Sumegh Tharewal, Abdul Hannan, K. V. Kale “Review on HRV based Prediction and Detection of Heart Disease” International Journal of Computer Application, Vol. 179, Number 46, June 2018, ISSN 0975-8887, USA.
141. Yogesh, Abdul Hannan, Rahul Sagar, Kishor Jave, Identification and Counting Trees from Oil Palm Plantations Using Digital Image Processing Techniques, International Journal of Engineering Research & Technology, Vol. 6 Issue 05, May – 2017.
142. Mahammed Waseem, Naushad Ahmed Osmani, Shaikh Abdul Hannan, “A Survey on E-education of information and Communication ‘Technology”, European Journal of Computer Science and Information Technology, Vol. 4, Issue 6, October 2016.
143. Mir Arif Ali, Shaikh Abdul Hannan, "A Review on Modern and Classical Encryption Techniques", International Journal of Engineering Trends and Technology, Volume 12, Number 4, June 2014, India.
144. Shaikh Abdul Hannan, "Heart Disease Diagnosis by using FFBP and GRNN algorithm of Neural Network", International Journal of Computer Science and Information Security, Vol 12, Number 6, June 2014, ISSN 1945-5500, United States of America.
145. Shaikh Abdul Hannan, Bharatratna P. Gaikwad, Ramesh Manza, "Brain Tumor from MRI Images: A Review". International Journal of Scientific and Engineering Research, Volume 5, Issue 4, April-2014, France.
146. Satish Misal, Shaikh Abdul Hannan, Santosh Lomte “Comparative study of image processing Techniques on Geometrical shapes”, International Journal of Emerging Technology & Advanced Engg., An ISO 9001:2008 Certified International Journal, Vol 2, Issue 9, New Delhi.
147. Aqueel Ahmed, Shaikh Abdul Hannan, “Data Mining Techniques to Find Out Heart Diseases: An Overview”, International Journal of Innovative Technology and Exploring Engineering, An ISO 9001:2008 Certified International Journal, Volume-1, Issue-4, September 2012, New Delhi, India.
148. Shaikh Abdul Hannan, Jameel Ahmed, Naveed Ahmed, Rizwan Alam Thakur, “Data Mining and Natural Language Processing Methods for Extracting Opinions from Customer Reviews”, International Journal of Computational Intelligence and Information Security, pp 52-58, Vol. 3, No. 6, July 2012.
149. M. J. Baheti, A. V. Mane, Shaikh Abdul Hannan, K. V. Kale, “Comparison of PCA and SVM for a west Indian Script- Gujarati”, CiiT Journal of Digital Image Processing, Vol. 3. No. 11, pp. 709-715, July 2011.
150. Shaikh Abdul Hannan, V. D. Bhagile, R. R. Manza, R. J. Ramteke, "Development of an Expert System for Diagnosis and appropriate Medical Prescription of Heart Disease Using Support Vector Machine and Radial Basis Function", International Journal of Computer Science and Information Security, August issue (Vol. 8 No. 5), 2010, Pages/record No.: 245-254.
151. Shaikh Abdul Hannan, R. R. Manza and R.J. Ramteke, “Association Rules for Filtering the Medicine to Avoid Side Effects Of Heart Patients”, on 16 -19 Dec 2009, at Advances in Computer Vision and Information Technology – 09, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad.
152. A. Ahmad et al., “Energy Efficient Intrusion Detection in a heterogeneous environment of Wireless sensor networks,” NeuroQuantology, vol. 20, no. 13, pp. 1493–1503, 2022.
153. A. R. Yeruva, C. S. L Vijaya Durga, G. B, K. Pant, P. Chaturvedi and A. P. Srivastava, "A Smart Healthcare Monitoring System Based on Fog Computing Architecture," 2022 2nd International Conference on Technological Advancements in Computational Sciences, 2022, pp. 904-909.
154. A. R. Yeruva, P. Choudhari, A. Shrivastava, D. Verma, S. Shaw and A. Rana, "Covid-19 Disease Detection using Chest X-Ray Images by Means of CNN," 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS), 2022, pp. 625-631.
155. A. Rana, A. Reddy, A. Shrivastava, D. Verma, M. S. Ansari and D. Singh, "Secure and Smart Healthcare System using IoT and Deep Learning Models," 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS), 2022, pp. 915-922.
156. 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.
157. 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.
158. P. William, M. Shamim, A. R. Yeruva, D. Gangodkar, S. Vashisht and A. Choudhury, "Deep Learning based Drowsiness Detection and Monitoring using Behavioural Approach," 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS), 2022, pp. 592-599.
159. T. Vinoth Kumar, A. R. Yeruva, S. Kumar, D. Gangodkar, A. L N Rao and P. Chaturvedi, "A New Vehicle Tracking System with R-CNN and Random Forest Classifier for Disaster Management Platform to Improve Performance," 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS), 2022, pp. 797-804.
160. S. Dhanush, S.C. Mohanraj, V.S. Sruthi, S Cloudin, F.J. John Joseph, (2022). CODEDJ-Private Permissioned Blockchain Based Digital Wallet with Enhanced Security, IEEE International Conference on Bio-Neuro Informatics Models and Algorithms. IEEE.
161. A.J. John Joseph, F.J. John Joseph, O.M. Stanislaus, and D. Das (2022). Classification methodologies in healthcare, Evolving Predictive Analytics in Healthcare: New AI techniques for real-time interventions, p 55-73. IET.
162. F.J. John Joseph, (2022). IoT Based Aquarium Water Quality Monitoring and Predictive Analytics Using Parameter Optimized Stack LSTM. In 2022 International Conference on Information Technology (InCIT). IEEE
163. F.J. John Joseph, (2023). Time series forecast of Covid 19 Pandemic Using Auto Recurrent Linear Regression. Journal of Engineering Research.
164. V. Pattana-anake, & F. J. John Joseph (2022). Hyper Parameter Optimization of Stack LSTM Based Regression for PM 2.5 Data in Bangkok, in Proceedings of 2022 International Conference on Business and Industrial Research (ICBIR). IEEE
165. N. Srisook, O. Tuntoolavest, P. Danphitsanuparn , V. Pattana-anake, & F. J. John Joseph, “Convolutional Neural Network Based Nutrient Deficiency Classification in Leaves of Elaeis guineensis Jacq” International Journal of Computer Information Systems and Industrial Management Applications, vol. 14, pp. 19-27, April 2022.
166. F. J. John Joseph, “IoT-Based Unified Approach to Predict Particulate Matter Pollution in Thailand” The Role of IoT and Blockchain: Techniques and Applications, 145-151, 2022.
167. F. J. J. John Joseph, “Twitter Based Outcome Predictions of 2019 Indian General Elections Using Decision Tree,” in Proceedings of 2019 4th International Conference on Information Technology, 2019, no. October, pp. 50–53.
168. V. Pattana-anake, P. Danphitsanuparn, and F. J. J. John Joseph, “BettaNet : A Deep Learning Architecture for Classification of Wild Siamese Betta Species,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1055, 2021.
169. F. J. John Joseph and S. Nonsiri, “Region-Specific Opinion Mining from Tweets in a Mixed Political Scenario,” in International Conference on Intelligent and Smart Computing in Data Analytics, 2021, pp. 189–195.
170. F. J. John Joseph, S. Nonsiri, and A. Monsakul, “Keras and Tensorflow - A Hands on Experience,” in Advanced Deep Learning for Engineers And Scientists: A Practical Approach, Switzerland: Springer Nature Switzerland AG, 2020.
171. F. J. John Joseph and P. Anantaprayoon, “Offline Handwritten Thai Character Recognition Using Single Tier Classifier and Local Features,” in 2018 International Conference on Information Technology (InCIT), 2018, pp. 1–4.
172. F. J. John Joseph and S. Auwatanamongkol, “A crowding multi-objective genetic algorithm for image parsing,” Neural Comput. Appl., vol. 27, no. 8, pp. 2217–2227, 2016.
173. J. F. Joe, T. Ravi, A. Natarajan and S. P. Kumar, "Object recognition of Leukemia affected cells using DCC and IFS," 2010 Second International conference on Computing, Communication and Networking Technologies, 2010, pp. 1-6.
174. F. J. John Joseph and V. R. T, “Enhanced Robustness for Digital Images Using Geometric Attack simulation,” Procedia Eng., vol. 38, no. Apr 2012, pp. 2672–2678, 2012.
175. F. J. John Joseph, R. T, and J. J. C, “Classification of correlated subspaces using HoVer representation of Census Data,” in 2011 International Conference on Emerging Trends in Electrical and Computer Technology, Mar. 2011, pp. 906–911.
176. S. Bhoumik, S. Chatterjee, A. Sarkar, A. Kumar, and F. J. John Joseph, “Covid 19 Prediction from X Ray Images Using Fully Connected Convolutional Neural Network,” in CSBio ’20: Proceedings of the Eleventh International Conference on Computational Systems-Biology and Bioinformatics, Nov. 2020, pp. 106–107.
177. F. J. J. Joseph, “Effect of supervised learning methodologies in offline handwritten Thai character recognition,” Int. J. Inf. Technol., vol. 12, no. 1, pp. 57–64, Mar. 2020.
178. 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.
179. 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.
180. 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.
181. 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. 70-708, 2022.
182. 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.
183. 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.
184. 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.
185. 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.
186. 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.
187. 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.
188. 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.
189. 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.
190. 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.
191. Regin, R., Rajest, S. S., T, S., G, J. A. C., & R, S. (2022). An Organization’s Strategy that is Backed by the Values and Visions of its Employees’ Families. Central Asian Journal of Innovations on Tourism Management and Finance, 3(9), 81-96.
192. Regin, R., Rajest, S. S., T, S., Christabel G, J. A. and R, S. (2022) “The Influence that the Advertising of Pharmaceuticals has on the Economy”, Central Asian Journal Of Social Sciences And History, 3(10), pp. 1-18.
193. Regin, R., Rajest, S. S., T, S., G, J. A. C., & R, S. (2022). Pharmaceutical Supply Chain Challenges and Inventory Management. Central Asian Journal of Innovations on Tourism Management and Finance, 3(10), 143-159.
194. R, S., Regin, R., Rajest, S. S., T, S. and G, J. A. C. (2022) “Rail Project’s Needed Project Management Approaches, Strategies, Methodologies, and Processes”, International Journal on Economics, Finance and Sustainable Development, 4(10), pp. 109-126.
195. Priscila, S. S., Rajest, S. S., T, S. and G, G. (2022) “An Improvised Virtual Queue Algorithm to Manipulate the Congestion in High-Speed Network”, Central Asian Journal of Medical and Natural Science, 3(6), pp. 343-360.
196. Rajest, S. S., Regin, R., T, S. and R, S. (2022) “Strategic Leadership and Alignment Affect Organisation Performance”, Central Asian Journal of Mathematical Theory And Computer Sciences, 3(12), pp. 248-266.
197. R, S., Rajest, S. S., T, S., & Regin, R. (2023). The Effects of Effective Management of Human Resources on The Overall Performance of An Organization. Central Asian Journal of Mathematical Theory and Computer Sciences, 4(1), 1-20.
198. Regin, R., Rajest, S. S., T, S., & R, S. (2023). Human Resource Perspective and Pitfalls at Work. Central Asian Journal of Innovations on Tourism Management and Finance, 4(1), 31-49.
199. T, S., Rajest, S. S., Regin, R., & R, S. (2023). Effect of Working Environmental Employee Satisfaction on Organizational Performance. Central Asian Journal of Mathematical Theory and Computer Sciences, 4(1), 29-48.
2. B. Mandel, A. Culotta, J. Boulahanis, D. Stark, B. Lewis, and J. Ro-drigue, “A demographic analysis of online sentiment during hurricane irene,” in Proceedings of the Second Workshop on Language in SocialMedia. Association for Computational Linguistics, 2012, pp. 27–36.
3. Prasad Dhore, Lalit Wadhwa, Pankaj Shinde, Deepti Chaudhri and Priyanka Vyas, “Brief Review On Different Manual Software Testing Approaches & Procedure”, In Journal of Pharmaceutical Negative Results, Volume 14 , Special Issue 2, pp. 455-464, 2023.
4. Prasad Dhore, Lalit Wadhwa, Deepak Naik and Pankaj Shinde, “Study On Various Machine Learning Techniques For Plant Disease Detections In Agricultural Sector”, In Journal of Pharmaceutical Negative Results, Volume 13, Special Issue 7, pp. 3336-3348, 2022.
5. Prasad Dhore, Aparna Pande, Shital Mehta and Saili Sable, “Human Pose Estimation And Classification: A Review” In Neuroquantology, Volume 20, Issue 15, pp. 3199-3213, 2022.
6. Prasad Dhore, Lalit Wadhwa, Pankaj Shinde, Deepak Naik and Sanjeevkumar Angadi, “Proficient Exploration Of Malnourishment With Machine Learning By Cnn Procedure “, In Journal Of Northeastern University, Volume 25, Issue 04, pp. 1916-1932, 2022
7. Prasad Dhore , Dr. Prashant Kumbharkar and Dr. Yogesh Sharma, “Skilled Drill of Undernourishment Public through Machine Learning Using CNN Action”, In International Journal of Research Publication and Reviews, Volume 2, Issue 4, pp.258-264, 2021
8. Prasad Dhore, Dr. Yogesh Kumar Sharma and Dr. Prashant Kumbharkar, “Resourceful Investigation of Malnutrition with Machine Learning Using CNN Procedure”, In International Journal of Advanced Research in Science, Communication and Technology, Volume 3, Issue 2, pp. 12-19, 2021.
9. Prasad Dhore, Dr. Yogesh Kumar Sharma and Dr. Prashant Kumbharkar, “Malnutrition Detection and Administration Organization”, In International Journal of Computer Techniques, Volume 8 Issue 1, pp. 1-4, 2021
10. Prasad Dhore, Dr. Yogesh Kumar Sharma and Dr. Prashant Kumbharkar, “Competent Training of Malnourishment With Machine Learning Using Cnn Process”, In International Research Journal of Modernization in Engineering Technology and Science, Vol. 02(5), pp. 1093-1098, 2020
11. Vasanthakumari, S. (2014). Effectiveness of play therapy in promoting socialization among the Mentally Challenged Children. TNNMC JPN,Vol. II, no.1, pp.04-07.
12. Vasanthakumari, S. (2015). Correlation of Psychological Stress and Nutritional status in HIV Infected children residing in selected residential home. Indian Journal of Advanced Nursing, Vol. I, no. II, pp.08-18.
13. Vasanthakumari, S. (2016). Effectiveness of stress reduction technique on the level of stress among HIV infected children. The Journal of Nursing Trendz, Vol. VII, no.01, pp. 10-15.
14. Vasanthakumari, S. (2019). Soft skills and its application in work place. World Journal of Advanced Research and Reviews, Vol. 03, no.02, pp. 066–072.
15. Vasanthakumari, S. (2019). Transformational Leadership – A Model for Motivating Innovation. CCNE Digest, Vol. 7, no.2, pp. 01-04.
16. Amit Kumar Jain, “Overview of Serverless Architecture,” International Journal of Engineering Research & Technology, vol. 11, no. 09, p. 3, 2022.
17. Amit Kumar Jain, “Multi-Cloud Computing & Why do we need to Embrace it,” International Journal Of Engineering Research & Technology, vol. 11, no. 09, p. 1, 2022.
18. Amit Kumar Jain, “Hybrid Cloud Computing: A Perspective,” International Journal of Engineering Research & Technology, vol. 11, no. 10, p. 1, 2022.
19. Ananda Shankar Hati, and T. K. Chatterjee, "Symmetrical component filter based online condition monitoring instrumentation system for mine winder motor" Measurement (Elsevier), vol. 82, pp. 284-300, 2016.
20. Prashant Kumar and Ananda Shankar Hati "Review on Machine Learning Algorithm Based Fault Detection in Induction Motors," Archives of Computational Methods in Engineering, vol: 28, pp: 1929-1940, 2021
21. Kumar Prashant and Hati, Ananda Shankar "Convolutional Neural Network with batch normalization for fault detection in SCIM," IET Electric Power Application, vol: 15, issue: 1, pp. 39-50, 2021.
22. Kumar Prashant and Hati, Ananda Shankar "Deep Convolutional Neural Network based on adaptive gradient optimizer for fault detection in SCIM," ISA Transactions, vol: 111, pp: 350-359, 2021.
23. Prince, Hati Ananda Shankar, Chakrabarti Prasun, Abawajy Jemal Hussein and Ng Wee Keong "Development of Energy Efficient Drive for Ventilation System using Recurrent Neural Network," Neural Computing and Applications, Vol. 33, no. 14, pp. 8659-8668, 2021.
24. Sinha Ashish Kumar, Hati Ananda Shankar, Benbouzid Mohamed and Chakrabarti Prasun "ANN-based Pattern Recognition for Induction Motor Broken Rotor Bar Monitoring under Supply Frequency Regulation" Machines (2021), vol: 9(5).
25. Prince and Hati Ananda Shankar "A Comprehensive Review of Energy-Efficiency of Ventilation System using Artificial Intelligence" Renewable and Sustainable Energy Reviews (2021), vol: 146, 2021.
26. Kumar Prashant and Hati, Ananda Shankar "Transfer Learning Based Deep CNN Model for Multiple Faults Detection in SCIM" Neural Computing and Applications (2021).
27. Prince and Hati Ananda Shankar "Temperature and Humidity Dependent MRAS Based Speed Estimation Technique for Induction Motor used in Mine Ventilation Drive" Journal of Mining Science, 2021, Vol. 57, No. 5, pp. 842–851.
28. Kumar Prashant and Hati, Ananda Shankar "Dilated Convolutional Neural Network Based Model For Bearing Faults and Broken Rotor Bar Detection in Squirrel Cage Induction Motors" Expert Systems With Applications (2022).
29. Prince and Hati Ananda Shankar "Convolutional Neural Network-Long Short Term Memory Optimization for Accurate Prediction of Airflow in a Ventilation System" Expert Systems with Applications (2022).
30. Vatsa Aniket and Hati Ananda Shankar "Depolarization Current Prediction of Transformers OPI System Affected From Detrapped Charge Using LSTM," in IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-11, 2022, Art no. 2511711.
31. Gorai Rahul, Hati Ananda Shankar, and Maity Tanmoy, "A new cascaded multilevel converter topology with a reduced number of components" 3rd IEEE 2017 Conference on International conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI-2017), 21-22 September 2017 | IEEE, Chennai, India., pp. 539-543.
32. Kumar Prashant, Hati, Ananda Shankar, Sanjeevikumar Padmanaban, Leonowicz Zbigniew and Prasun Chakrabarti "Amalgamation of Transfer Learning and Deep Convolutional Neural Network for Multiple Fault Detection in SCIM" 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), 9th-12th June 2020, Madrid, Spain.
33. Sinha Ashish Kumar, Kumar Prashant, Prince and Hati, Ananda Shankar, "ANN Based Fault Detection Scheme for Bearing Condition Monitoring in SRIMs using FFT, DWT and Band-pass Filters" 2020 International Conference on Power, Instrumentation, Control, and Computing (PICC) 2020 IEEE.
34. Prince Kumar and Hati, Ananda Shankar, "Sensor-less Speed Control of Ventilation System Using Extended Kalman Filter For High Performance," 2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), 2021, pp. 1-6.
35. Kumar Prashant and Hati, Ananda Shankar "Support Vector Classifiers based broken rotor bar detection in Squirrel cage induction motor" Machines, Mechanisms and Robotics, Springer, Singapore, 429-438.
36. Hati, Ananda Shankar, and Chatterjee, T. K., "Some studies on condition monitoring techniques for online condition monitoring and fault diagnosis of mine winder motor", International Journal of Engineering Science and Technology (IJEST), vol. 4, no. 08, pp. 3785-3793, August 2012.
37. Hati, Ananda Shankar, and Chatterjee, T. K., "Axial leakage flux-based online condition monitoring instrumentation system for mine winder motor" Journal of Mines, Metals & Fuels, vol. 63, no. 5&6, pp. 132-140, May-June 2015.
38. Hati, Ananda Shankar, and Chatterjee, T. K., "Current monitoring Instrumentation system for detecting airgap eccentricity in mine winder motor", International Journal of Applied Engineering Research, vol. 10, no. 22, pp. 43000-43007, 2015.
39. Hati, Ananda Shankar, "Vibration monitoring instrumentation system for detecting airgap eccentricity in mine winder motor" Journal of Mine Metals and Fuels, vol. 64, no. 5&6, pp. 240-248, May-June 2016.
40. S. Venkatasubramanian, S. Raja, J. Logeshwaran, M. Jayalakshmi, N. Rajeswari, N. G. Olaiya, Wubishet Degife Mammo, "OCHSA: Designing Energy-Efficient Lifetime-Aware Leisure Degree Adaptive Routing Protocol with Optimal Cluster Head Selection for 5G Communication Network Disaster Management", Scientific Programming, vol. 2022, Article ID 5424356, 11 pages, 2022.
41. S.Venkatasubramanian et al.,, "Modified adhoc on-demand distance vector for trust evaluation and attack detection", Intelligent Automation & Soft Computing, pp. 1227-1240, Vol. 36, Issue. 2, JAN 2023.
42. S.Venkatasubramanian, "Nested Genetic Algorithm And Fuzzy Secured Node Selection Routing Protocol For Manet Optimization ", International Journal of Emerging Technologies and Innovative Research , ISSN:2349-5162, Vol.9, Issue 6, page no.b713-b721, June-2022,
43. S.Venkatasubramanian, “Ambulatory Monitoring of Maternal and Fetal using Deep Convolution Generative Adversarial Network for Smart Health Care IoT System” International Journal of Advanced Computer Science and Applications, 13(1), 2022.
44. S.venkatasubramanian, “Correlation Distance Based Greedy Perimeter Stateless Routing Algorithm for Wireless Sensor Networks”, Int. J. Advanced Networking and Applications Volume: 13 Issue: 03 pp. 4962-4970, 2021.
45. S.venkatasubramanian, “Multistage Optimized Fuzzy Based Intrusion Detection protocol for NIDS in MANET”, International Journal Of Innovative Research In Technology, Volume 8 Issue 6, November, pp.301-311, 2021.
46. S.Venkatasubramanian, A. Suhasini, C.Vennila, "Cluster Head Selection and Optimal Multipath detection using Coral Reef Optimization in MANET Environment", International Journal of Computer Network and Information Security, Vol.14, No.3, pp.88-99, 2022.
47. S.Venkatasubramanian, S.Hariprasath, "Energy-efficient and balanced load routing approach using Bald Eagle Search Algorithm for path convergence in MANET", Journal of Xi'an University of Architecture & Technology, pp. 1-12, Vol. 14, Issue. 7, Jul 2022, ISSN No : 1006- 7930.
48. S.Venkatasubramanian,K., Senthil Kumar & J, Gnana & M, Ayeesha. “IoT and AI Based Recognition and Classification of Covid 19 Persons in Public Place”, Turkish Online Journal of Qualitative Inquiry. 12. pp.7098-7110, 2021.
49. Srinivasan, V., Rajarajeswari, P.L. and Kumar, T.S. (2023) “Techniques and applications of optimal cluster head selection with trusted multipath routing and manet intrusion detection,” Advances in Multimedia and Interactive Technologies, pp. 162–182.
50. H. Nayak, A, Kushwaha, P.C. Behera, N.C. Shahi, K.P.S. Kushwaha, A. Kumar and K.K. Mishra, “The pink oyster mushroom, Pleurotus djamor (Agaricomycetes): A potent antioxidant and hypoglycemic agent,” International Journal of Medicinal Mushrooms, vol. 23, no. 12, p. 29-36, 2021.
51. O. M. Abo-Seida, N. T. M. El-dabe, A. Refaie Ali and G. A. Shalaby, "Cherenkov FEL Reaction with Plasma-Filled Cylindrical Waveguide in Fractional D-Dimensional Space” IEEE Transactions on Plasma Science, vol. 49, no. 7, pp. 2070-2079, July 2021.
52. Nabil T. M. El-dabe, A. Refaie Ali, A. A. El-shekhipy, and G. A. Shalaby, “Non-Linear Heat and Mass Transfer of Second Grade Fluid Flow with Hall Currents and Thermophoresis Effects”, Applied Mathematics & Information Sciences (AMIS), vol. 11, no. 1, pp. 267-280, 2017.
53. N.T.M.El-Dabe, A.Refaie Ali, and A.A.El-shekhipy, “Influence of Thermophoresis on Unsteady MHD Flow of Radiation Absorbing Kuvshinski Fluid with Non-Linear Heat and Mass Transfer”, Columbia International Publishing American Journal of Heat and Mass Transfer 2017.
54. Sunil Devidas Bobade, Nita S. patil , Sanjay M. Patil , Ajay Reddy Yeruva , Parth M. Pandya5 , Ahmed Refaie Ali, “Efficient Deterministic Approach for Coverage Hole Detection In Wireless Sensor Underground Network: Mathematical And Stimulation Model”, Journal of Pharmaceutical Negative Results, vo;.13, Special Issue9, 2022.
55. Osama M. Abo-Seida , N.T.M.Eldabe , A.Refaie Ali , G. A. Shalaby, “Far-Field, Radiation Resistance and temperature of Hertzian Dipole Antenna in Lossless Medium with Momentum and Energy Flow in the Far- Zone”, Journal of Advances in Physics, vol. 18: pp. 2347-3487, 2020.
56. Osama M. Abo-Seida, N.T.M.Eldabe, M. Abu-Shady, A.Refaie Ali, “Electromagnetic non-Darcy Forchheimer flow and heat transfer over a nonlinearly stretching sheet of non-Newtonian fluid in the presence of a non-uniform heat source”, Solid State Technology, vol. 63, no. 6, 2020.
57. Abo-Seida, Osama M., N. T. M. Eldabe, and Ahmed Refaie Ali. "Gamil. Ali Shalaby, ” Far-Field, Radiation Resistance and temperature of Hertzian Dipole Antenna in Lossless Medium with Momentum and Energy Flow in the Far-Zone” Journal of Advances in Physics , vol. 18, pp 20-28, 2020.
58. SS Priscila, M Hemalatha, “Improving the performance of entropy ensembles of neural networks (EENNS) on classification of heart disease prediction”, Int J Pure Appl Math 117 (7), 371-386, 2017.
59. S Silvia Priscila, M Hemalatha, “ Diagnosisof heart disease with particle bee-neural network” Biomedical Research, Special Issue, pp. S40-S46, 2018.
60. S Silvia Priscila, M Hemalatha, “ Heart Disease Prediction Using Integer-Coded Genetic Algorithm (ICGA) Based Particle Clonal Neural Network (ICGA-PCNN)”, Bonfring International Journal of Industrial Engineering and Management Science 8 (2), 15-19, 2018.
61. Tadiboina, S. N., & Kumar, S. (2019). Treatment Policies For Chronic Illnesses And The Potential To Transform Health Care With Artificial Intelligence. Ilkogretim Online, 18(1), 610-619.
62. Tadiboina, S. N. (2022). The Use Of AI In Advanced Medical Imaging. Journal of Positive School Psychology, 6(11), 1939-1946.
63. Tadiboina, S. N., & Liu, W. (2022). Artificial Intelligence (AI) And Deep Learning (DL) In Medical Diagnosis Process Such As SPECT And PET. Journal of Positive School Psychology, 6(8), 10665-10673.
64. Tadiboina, S. N. (2022). The Integration Of Handheld And Smartphone-Connected Technologies Into The Doctor-Patient Relationship-AI. Journal of Positive School Psychology, 6(11), 2933-2940.
65. 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.
66. 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.
67. 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.
68. 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.
69. 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.
70. 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.
71. 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.
72. 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.
73. 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.
74. 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.
75. 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.
76. 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.
77. 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.
78. 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
79. 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.
80. 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,
81. 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.
82. 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.
83. 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.
84. 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.
85. I. Khalifa, H. Abd Al-glil, and M. M. Abbassy, “Mobile hospitalization,” International Journal of Computer Applications, vol. 80, no. 13, pp. 18–23, 2013.
86. I. Khalifa, H. Abd Al-glil, and M. M. Abbassy, “Mobile hospitalization for Kidney Transplantation,” International Journal of Computer Applications, vol. 92, no. 6, pp. 25–29, 2014.
87. M. M. Abbassy and A. Abo-Alnadr, “Rule-based emotion AI in Arabic Customer Review,” International Journal of Advanced Computer Science and Applications, vol. 10, no. 9, 2019.
88. M. M. Abbassy and W. M. Ead, “Intelligent Greenhouse Management System,” 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), 2020.
89. M. M. Abbassy, “Opinion mining for Arabic customer feedback using machine learning,” Journal of Advanced Research in Dynamical and Control Systems, vol. 12, no. SP3, pp. 209–217, 2020.
90. M. M. Abbassy, “The human brain signal detection of Health Information System IN EDSAC: A novel cipher text attribute based encryption with EDSAC distributed storage access control,” Journal of Advanced Research in Dynamical and Control Systems, vol. 12, no. SP7, pp. 858–868, 2020.
91. M. M. and S. Mesbah, “Effective e-government and citizens adoption in Egypt,” International Journal of Computer Applications, vol. 133, no. 7, pp. 7–13, 2016.
92. M.M.Abbassy, A.A. Mohamed “Mobile Expert System to Detect Liver Disease Kind”, International Journal of Computer Applications, vol. 14, no. 5, pp. 320–324, 2016.
93. R. A. Sadek, D. M. Abd-alazeem, and M. M. Abbassy, “A new energy-efficient multi-hop routing protocol for heterogeneous wireless sensor networks,” International Journal of Advanced Computer Science and Applications, vol. 12, no. 11, 2021.
94. S. Derindere Köseoğlu, W. M. Ead, and M. M. Abbassy, “Basics of Financial Data Analytics,” Financial Data Analytics, pp. 23–57, 2022.
95. W. Ead and M. Abbassy, “Intelligent Systems of Machine Learning Approaches for developing E-services portals,” EAI Endorsed Transactions on Energy Web, p. 167292, 2018.
96. W. M. Ead and M. M. Abbassy, “A general cyber hygiene approach for financial analytical environment,” Financial Data Analytics, pp. 369–384, 2022.
97. W. M. Ead and M. M. Abbassy, “IOT based on plant diseases detection and classification,” 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021.
98. W. M. Ead, M. M. Abbassy, and E. El-Abd, “A general framework information loss of utility-based anonymization in Data Publishing,” Turkish Journal of Computer and Mathematics Education, vol. 12, no. 5, pp. 1450–1456, 2021.
99. AbdulKader, H., ElAbd, E., & Ead, W. (2016). Protecting Online Social Networks Profiles by Hiding Sensitive Data Attributes. Procedia Computer Science, 82, 20–27.
100. Fattoh, I. E., Kamal Alsheref, F., Ead, W. M., & Youssef, A. M. (2022). Semantic sentiment classification for covid-19 tweets using universal sentence encoder. Computational Intelligence and Neuroscience, 2022, 1–8.
101. Ead, W. M., Abdel-Wahed, W. F., & Abdul-Kader, H. (2013). Adaptive Fuzzy Classification-Rule Algorithm In Detection Malicious Web Sites From Suspicious URLs. Int. Arab. J. E Technol., 3, 1–9.
102. Abdelazim, M. A., Nasr, M. M., & Ead, W. M. (2020). A survey on classification analysis for cancer genomics: Limitations and novel opportunity in the era of cancer classification and Target Therapies. Annals of Tropical Medicine and Public Health, 23(24). https://doi.org/10.36295/asro.2020.232434
103. Alsheref, F. K., Fattoh, I. E., & M.Ead, W. (2022). Automated prediction of employee attrition using ensemble model based on machine learning algorithms. Computational Intelligence and Neuroscience, 2022, 1–9.
104. J. J. Patil, Y. H. Patil, A. Ghosh, “Comprehensive and analytical review on optical fiber refractive index sensor”, 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI) (48184), IEEE, P. 169-175, June. 15, 2020.
105. H. Bohra, A. Ghosh, “Design and analysis of microstrip low pass and band stop filters”, International Journal of Recent Technology and Engineering (IJRTE), Vol. 8, Issue 3, P. 6944-6951, Sept. 2019.
106. Y. H. Patil, A. Ghosh, “Optical fiber humidity sensors: a review”, 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI) (48184), IEEE, P. 207-213, June. 15, 2020.
107. J. J. Patil, Y. H. Patil, A. Ghosh, “Fiber Optics Refractive Index Sensor based on Intensity Modulation”, 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), IEEE, P. 623-628, May. 2020.
108. H. Bohra, A. Ghosh, A. Bhaskar, A. Sharma, “A miniaturized notched band microstrip wideband filter with hybrid defected ground structure technique”, 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT), IEEE, P. 745-750, Aug. 2020.
109. Y. H. Patil, J. J. Patil, A. Gaikwad, A. Ghosh, “Development of Optical Fiber Test Bench for Intensity-Modulated Optical Fiber Sensors”, 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI) (48184), IEEE, P. 176-180, June. 2020.
110. H. Bohra, A. Ghosh, “A Review on Different Optimization Techniques for Selecting Optimal Parameters in Microstrip Bandpass Filter Design”, International Journal of Advanced Science and Technology, Vo. 28, Issue 14, P. 379-394, Nov. 2019.
111. J. Terdale, A. Ghosh, “An intensity-modulated optical fiber sensor with agarose coating for measurement of refractive index”, International Journal of System Assurance Engineering and Management, Springer India, P. 1-7, Nov. 2022.
112. J. J. Patil, A. Ghosh, “Intensity Modulation based U shaped Plastic Optical Fiber Refractive Index Sensor” 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI), IEEE, P. 18-24, Apr. 2022.
113. H. Bohra, A. Ghosh, A. Bhaskar, “Design and Analysis of Spurious Harmonics Suppressed Microstrip Ultrawide Band Filter using Modified Defected Ground Structure Techniques”, Wireless Personal Communications, Springer US, Vol. 121, Issue 1, P. 361-380, Nov. 2021.
114. H. Bohra, A. Ghosh, A. Bhaskar, A. Sharma, “A Miniaturized Ultra-Wideband Low-Pass Microstrip Filter Design using Modified Defected Ground Structure Techniques”, Invertis University, Vol. 14, Issue 1, P. 25-30, 2021.
115. H. Patidar, P. Chakrabarti, A. Ghosh, “Parallel Computing Aspects in Improved Edge Cover Based Graph Coloring Algorithm”, Indian Journal of Science and Technology, Vol. 10, P. 25, Jul. 2017.
116. A. Ghosh, P. Chakrabarti, P. Siano, “Approach towards realizing the Security Threats for Mobile IPv6 and Solution Thereof”, International Journal of Computer Applications, Foundation of Computer Science, Vol. 90, Issue 10, Jan. 2014.
117. A. Ghosh, P. Chakrabarti, D. Bhatnagar, “Performance Evaluation of Optimized Mobile IP Protocol Vis-à-vis Bit Map Indexing Method”, International Journal of Computer Applications, Foundation of Computer Science, Vol. 75, Issue: 2, Jan. 2013.
118. M. Farman, A. Akgül, M.T. Tekin, M. M. Akram, A. Aqeel , E. E. Mahmoud, I. S. Yahia, “Fractal fractional-order derivative for HIV/AIDS model with Mittag-Leffler kernel”, Alex. Eng. J, vol. 61, no. 12,pp. 10965-10980, April 2022.
119. K.S. Nisar, A. Aqeel, M. Inc, M. Farman, H. Rezazadeh, L. Akinyemi, M.M. Mannan, “Analysis of dengue transmission using fractional order scheme”, Aims Math, vol. 7 no. 5, pp. 8408–8429, May 2022.
120. M.M. Akram, M. Farman, A. Akgül, M. U. Saleem, A. Ahmad, M. Partohaghigh, F. Jarad, “Analysis of HIV/AIDS model with Mittag-Leffler kernel”, Aims Math, vol. 7 no. 7, pp. 13383-13401, July 2022.
121. Hashem Shatnawi, “Computational Fluid Flow Model for the Development of an Arterial Bypass Graft”, CFD Lett., vol. 14, no. 10, pp. 99-111, Oct. 2022. https://doi.org/10.37934/cfdl.14.10.99111
122. Shaikh Abdul Hannan, “An Overview of Big Data and Hadoop”, International Journal of Computer Application”, Volume 154, Number 10,, November 2016, New York, USA.
123. Shaikh Abdul Hannan, An Examination of the Blockchain Technology: Challenges and Future Opportunities, International Journal of Engineering and Computer Science, Volume11 Issue 09 November2022, Page No.25612-25619.
124. Shaikh Abdul Hannan, “Application and Scope of Blockchain in Technical Research and Higher Education” Vol 20, Issue 15, page 6185-6191, NeuroQuantology, Nov 2022.
125. Shaikh Abdul Hannan, Manjusha Hivre, Lata, M., Krishna, B. H., Sathyasiva, S., & Arshad, M. W. “Brain damage detection using Machine learning approach”, International Journal of Health Sciences, Special Issue 7, 27 Sept. 2022, PP 4910-4924.
126. Dubey, A., Mujoo, Shaikh Abdul Hannan., Satpathy, G., Arshad, M. W., & Manikandan, E., “Cancer detection using RNA sequencing and deep learning”, International Journal of Health Sciences, Special Issue 7, 27 Sept. 2022, PP 4925-4939.
127. Arun Prasad, Shaikh Abdul Hannan, Kavita Panjwani, Muthe Ramu, Kawaender Singh Sidhu, Nagabhusanam Tida, “Detailed Investigation of the role of Artificial Intelligence in stock market predictions, British Journal of Administrative Management, Vol 58, Issue 06, 6th Sept 2022, UK.
128. Swati Saxena, Shaikh Abdul Hannan, “Women Warrior – Android Mobile Application for Women Security” International Journal of Computer Science and Information Technologies, Volume 13, Issue 3, PP 76-84, India, June 2022.
129. Anupriya Kambe, Shaikh Abdul Hannan, Ramesh Manza and Mohammad Eid Alzahrani, “Prediction of Prediabetes, No Diabetes and Diabetes Mellitus -2 usnig Simple Decision Tree Classification” Springer, Rising Threats in Expert Applications and Solutions. 2021 at IIS University, 2021.
130. Swati Saxena, Shaikh Abdul Hannan, “A Quaitative Review on Intervention of Robotics in Medical Science”, International Journal of Computer Applications, Vol. 179, Number 46, 2021, USA.
131. Anupriya Kamble, Sonali Gaikwad Shaikh Abdul Hannan, Mohammed Alwazzab Alzaharani, Ramesh Manza, “Prediction of the State of Diabetes Disorder using Simple Decision Tree Classification Technique”, Pensee Journal, Vol 51, issue 04, 2021.
132. Yogesh Rajput, Shaikh Abdul Hannan, “Design New Wavelet Filter for Detection and Grading of Non-proliferative Diabetic Retinopathy Lesions”, International Conference on Recent Trends in Image Processing and Pattern Recognition, Jan 2020, Springer, Singpore.
133. Sagar Vakhare, Ramesh Manza, Abdul Hannan Shaikh and Anubha Jain, “Time Series Analysis and Forecasting of Temperatures Records in Aurangabad District of Maharashtra”, Springer FICR International Conference on Rising Threats in Expert Applications and Solutions. 2020 at IIS University, 17-19 Jan, 2020 Jaipur.
134. Y. M. Rajput, A. H. Hannan, M. E. Alzahrani, R. R. Manza, D. D. Patil, “EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques–A Review”, International Journal of Computer Sciences and Engineering, Vol 6, Issue 9, Sep 2018.
135. Mohammad Eid Alzaharani, Shaikh Abdul Hannan, “Diagnosis and Medical Prescription of Heart Disease Using FFBP, SVM and RBF”, Issue,1, Vol 5, , KKU Journal of Basic and Applied Sciences, Mar 2019 , Page 6-15.
136. Santosh Maher, Shaikh Abdul Hannan, Sumegh Tharewal, K. V. Kale" HRV based Human Heart Disease Prediction and Classification using Machine Learning " December 2019, (Vol. 17 No. 2 International Journal of Computer Science and Information SecApplicatiion, New York, USA.
137. Akram Ablsubari, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, Rakesh Ramteke, "Composite Feature Extraction and Classification for Fusion of Palmprint and Iris Biometric Traits", Engineering Technology and Applied Science Research, Volume 9, No 1, Feb 2019, Greece.
138. Santosh K. Maher, Sumegh Tharewal, Abdul Hannan, “Review on HRV based Prediction and Detection of Heart Disease”, International Journal of Computer Applications (0975 – 8887), Pag 7-12, Volume 179 – No.46, June 2018.
139. Yogesh Rajput, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, D. Patil Ramesh Manza, Design and Development of New Algorithm for person identification Based on Iris statistical features and Retinal blood Vessels Bifurcation points” ” International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R), December 21-22, 2018, India.
140. Santosh K. Maher, Sumegh Tharewal, Abdul Hannan, K. V. Kale “Review on HRV based Prediction and Detection of Heart Disease” International Journal of Computer Application, Vol. 179, Number 46, June 2018, ISSN 0975-8887, USA.
141. Yogesh, Abdul Hannan, Rahul Sagar, Kishor Jave, Identification and Counting Trees from Oil Palm Plantations Using Digital Image Processing Techniques, International Journal of Engineering Research & Technology, Vol. 6 Issue 05, May – 2017.
142. Mahammed Waseem, Naushad Ahmed Osmani, Shaikh Abdul Hannan, “A Survey on E-education of information and Communication ‘Technology”, European Journal of Computer Science and Information Technology, Vol. 4, Issue 6, October 2016.
143. Mir Arif Ali, Shaikh Abdul Hannan, "A Review on Modern and Classical Encryption Techniques", International Journal of Engineering Trends and Technology, Volume 12, Number 4, June 2014, India.
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Published
2023-01-24
How to Cite
M, G., Visuwasam L, M. M., Srinivasan, S., Raghavan G, V., & K, V. (2023). Natural Language Processing Based Disaster Management Framework. Central Asian Journal of Medical and Natural Science, 4(1), 72-96. https://doi.org/10.17605/cajmns.v4i1.1294
Section
Articles
