Novel Model for Classifying the Toxicity of Metal Oxide Nanoparticles , Harshal P. Varade, Jaikumar M. Patil, , Bhagyashree Ashok Tingare, , P. William, , Vaibhav D. Dabhade, , R. A. Kapgate, , Sachin K. Korde, and Journal of Nano and Electronic Physics, 2025 Journal of Nano- and Electronic Physics. Scientific journal. ISSN: 2077-6772. Journal abbreviation: J. Nano- Electron. Phys. No page charges. All articles are freely available on-line. Issued 4 times per year. Publisher: Sumy State University. (Sumy, Ukraine)
Intelligent Approach for Analyzing Semiconductor Band Gaps in Nanomaterial Systems , Bhagyashree Ashok Tingare, R. A. Kapgate, , P. William, , Jaikumar M. Patil, , Tarun Dhar Diwan, , Prasad M. Patare, , Laxmikant S. Dhamande, and Journal of Nano and Electronic Physics, 2025 Journal of Nano- and Electronic Physics. Scientific journal. ISSN: 2077-6772. Journal abbreviation: J. Nano- Electron. Phys. No page charges. All articles are freely available on-line. Issued 4 times per year. Publisher: Sumy State University. (Sumy, Ukraine)
Studies on the Use of Various Noise Strategies for Perturbing Data in Privacy-Preserving Data Mining International Journal of Intelligent Systems and Applications in Engineering, 2024
Intelligent Crop Management Optimization using Machine Learning Algorithms: A Linear Analytical Approach Ankita H. Harkare Advances in Nonlinear Variational Inequalities, 2024 This research paper explores Utilizing machine learning techniques in practice, to enhance crop management recommendations. It leverages historical and real-time data, encompassing weather conditions, soil characteristics, growth stages, and past information. A rigorous data prepossessing procedure is employed to generate a well-structured 1.31 lacs data set. Various methodologies are utilized to construct predictive. These models' effectiveness is evaluated using common assessment metrics, such as Recall, accuracy, precision, and F1-score. To enhance the reliability and transparency of the recommendations, ensemble methods such as Naive Bayes, Support vector machines, decision trees, gradient boosting, and random forests, Linear Regression, and k-Nearest Neighbors}, along with interpretative techniques, are incorporated. The results provide insights into different algorithms and predict crucial agricultural activities such as planting, irrigation, fertilization, and pest control. Among all the machine learning models considered, Naive Bayes emerges as the best-performing model, achieving perfect scores of 1.0 in accuracy, precision, recall, and F1-scores. The second-best machine learning model is Random Forests, which follows closely behind with Achieving remarkable results reaching 0.99. These prognostic parameters have a big impact on agricultural productivity and sustainability. In order to improve crop management productivity and resource efficiency, this study promotes the use of data-driven decision-making in agriculture.
A Novel Approach to Fake News Detection Using Generative AI International Journal of Intelligent Systems and Applications in Engineering, 2024
Analytical Review on Various Aspects of Educational Data Mining and Learning Analytics Jaikumar M. Patil, S. R. Gupta Proceeding 1st International Conference on Innovative Trends and Advances in Engineering and Technology Icitaet 2019, 2019 Over the last decade, there is a tremendous increase in online learning. The use of electronic devices has paved a path for creating a learning gateway beginning from lower classes to higher class alltogther i.e. from preschool to postgraduate level. These mechnisms are being used enormously to improve the quality of education. The online mode of education has also provided researchers with mechanism to collect data and analyze learning patterns which would to path breaking results in ananlyzing the learning habits of a child and help us provide him with personlized inputs for the best results. The educators and management would also be benifitted from the result of analytics. Everyone around the globe is willing to adopt the EDM and LA to frame strategic policies and understand student behaviours. The Educational Data Mining and Learning Analytics helps us look for the new patterns in data and helps us predict the instructional systems. The implementation of EDM and LA is largely helped by advancement in the last decade in e-learning implementations in education and training as well as of research and development work in areas such as educational data mining, web analytics and statistics. The analytical requirement would be implemented various data mining and visualization tools. Learning analytics is an emergent field of research that is growing fast.
Recommendation system for carpooling and regular taxicab services Rohini B. Jadhao, J. M. Patil Proceedings of the International Conference on Inventive Systems and Control Icisc 2017, 2017 We proposed and developed a taxi-sharing system that accepts taxi passengers' real-time ride requests sent from smart phones and schedules proper taxis to pick up them via ride sharing, subject to time, capacity, and monetary constraints. The monetary constraints provide incentives for both passengers and taxi drivers: passengers will not pay more compared with no ridesharing and get repayment if their travel time is long or extended due to ride sharing; taxi drivers will make money for all the long way around distance due to ride sharing. While such a system is of important social and environmental benefit, e.g., saving energy consumption and satisfying people's commute, real-time taxi-sharing has not been well studied yet. To this end, we plan a mobile-cloud architecture based taxi-sharing system. Taxi riders and taxi drivers use the taxi-sharing service provided by the system via a smart phone App. The Cloud first finds candidate taxis quickly for a taxi ride request using a taxi searching algorithm supported by as patio-temporal index. A scheduling process is then performed in the cloud to select a taxi that satisfies the request with minimum increase in travel distance. We built an experimental platform using the GPS trajectories generated by over 33,000 taxis over a period of three months. A ride request generator is developed (available at http://cs.uic.edu/_sma/ridesharing) in terms of the stochastic Process modeling real ride requests learned from the data set. Tested on this platform with extensive experiments, our proposed system established its efficiency, effectiveness and scalability. For example, when the ratio of the number of ride requests to the number of taxis is 6, our proposed system serves three times as many taxi riders as that when no ridesharing is performed while saving 11 percent in total travel distance and 7 percent taxi fare per rider.
A brief review on sentiment analysis Neha Raghuvanshi, J.M. Patil International Conference on Electrical Electronics and Optimization Techniques Iceeot 2016, 2016 This paper presents a brief review on sentiment analysis. To mine the opinion on the web, it is essential to perform a well defined task, which helps us to retrieve the information from the available data on the web. We have started our discussion with the introduction on sentiment analysis, which gives us a insight into sentiment analysis. The detail discussion on various methods proposed by different researchers is also presented. Different types of sentiment analysis techniques give a research direction in different directions. Finally a method is proposed based on the naïve Bayes classifier.
Multimodal Depression Detection in Pregnant Women: A Machine Learning Approach PV Deshmukh, AK Shahade, J Patil, P Gohatre University of Bahrain , 2026 2026
Explainable Multi-source AI Framework for Real-Time Stock Price Monitoring and Prediction M Patil, JM Patil, AK Shahade, PV Deshmukh Operations Research Forum 7 (1), 17 , 2026 2026
Intelligent Approach for Analyzing Semiconductor Band Gaps in Nanomaterial Systems BA Tingare, RA Kapgate, P William, JM Patil, TD Diwan, PM Patare, ... Sumy State University , 2025 2025
Novel Model for Classifying the Toxicity of Metal Oxide Nanoparticles HP Varade, JM Patil, BA Tingare, P William, VD Dabhade, RA Kapgate, ... Sumy State University , 2025 2025
An optimized framework for implementation of smart waste collection and management system in smart cities using IoT based deep learning approach P William, JM Patil, S Panda, A Venugopal, P Vidyullatha, NM Kumar, ... International Journal of Information Technology 16 (8), 5033-5040 , 2024 2024 Citations: 27
Intelligent Crop Management Optimization using Machine Learning Algorithms: A Linear Analytical Approach AH Harkare, AP Nilawar, RA Fadnavis, ARB Patil, JM Patil, U Patil Advances in Nonlinear Variational Inequalities 27 (3), 198-210 , 2024 2024 Citations: 2
A novel approach to fake news detection using generative AI M Patil, H Yadav, M Gawali, J Suryawanshi, J Patil, A Yeole, P Shetty, ... International Journal of Intelligent Systems and Applications in Engineering … , 2024 2024 Citations: 18
Evaluation of Student Performance in Educational Data Mining Using Hybrid Deep Learning Technique DSRG Jaikumar M. Patil International Journal of NeuroQuantology, ISSN 1303-5150, DOI: 10.48047/nq … , 2022 2022
DeepEDM: Deep Learning Based Education Data Mining for Academic Student Performance Evaluation Model DSRG Jaikumar M. Patil International Journal of Computer Integrated Manufacturing Systems, CIMS … , 2022 2022
Machine Learning-Based Prediction of Big Mart Sales JM Patil Journal of Information and Computational Science UGC-CARE Group-II Certified … , 2022 2022
MLEDM: Hybrid Machine Learning Approach using Real Time Data Processing for Educational Data Mining DSRG Jaikumar M. Patil Proceedings of the 3rd International Conference on Contents, Computing, and … , 2022 2022 Citations: 1
A Methodology for Implementing Algorithms Over Data from Student Performance Evaluation Using Machine Learning Algorithms DSRG Jaikumar M. Patil IN Patent 41,297 , 2022 2022
Literature Review: Educational Data Mining and Learning Analytics JM Patil International Conference on EMERGING TRENDS IN INTELLIGENT COMPUTING (ICETIC’21) , 2021 2021
Extracting Knowledge in Large Synthetic Datasets Using Educational Data Mining and Machine Learning Models DSRG Jaikumar M. Patil International Conference on Soft Computing for Intelligent Systems ICSICS … , 2021 2021 Citations: 2
Analytical review on various aspects of educational data mining and learning analytics JM Patil, SR Gupta 2019 international conference on innovative trends and advances in … , 2019 2019 Citations: 3
Recommendation system for carpooling and regular taxicab services RB Jadhao, JM Patil 2017 International Conference on Inventive Systems and Control (ICISC), 1-8 , 2017 2017 Citations: 7
A brief review on sentiment analysis N Raghuvanshi, JM Patil 2016 International conference on electrical, electronics, and optimization … , 2016 2016 Citations: 25
Community based recommendation system based on products PA Nandagawali, JM Patil 2014 International Conference on Power, Automation and Communication (INPAC … , 2014 2014 Citations: 7
Android based appliances control system YG Belgi, PG Avatade, PV Deshmukh, AM Sakhare, AJ Shinde, JM Patil International Journal of Emerging Technology and Advanced Engineering 3 (12 … , 2013 2013 Citations: 9
Implementation, Management and Analysis of User Groups of GSM database JM Patil, R Patel International Journal of Engineering Science and Technology, Special issue … , 2011 2011 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
An optimized framework for implementation of smart waste collection and management system in smart cities using IoT based deep learning approach P William, JM Patil, S Panda, A Venugopal, P Vidyullatha, NM Kumar, ... International Journal of Information Technology 16 (8), 5033-5040 , 2024 2024 Citations: 27
A brief review on sentiment analysis N Raghuvanshi, JM Patil 2016 International conference on electrical, electronics, and optimization … , 2016 2016 Citations: 25
A novel approach to fake news detection using generative AI M Patil, H Yadav, M Gawali, J Suryawanshi, J Patil, A Yeole, P Shetty, ... International Journal of Intelligent Systems and Applications in Engineering … , 2024 2024 Citations: 18
Android based appliances control system YG Belgi, PG Avatade, PV Deshmukh, AM Sakhare, AJ Shinde, JM Patil International Journal of Emerging Technology and Advanced Engineering 3 (12 … , 2013 2013 Citations: 9
Recommendation system for carpooling and regular taxicab services RB Jadhao, JM Patil 2017 International Conference on Inventive Systems and Control (ICISC), 1-8 , 2017 2017 Citations: 7
Community based recommendation system based on products PA Nandagawali, JM Patil 2014 International Conference on Power, Automation and Communication (INPAC … , 2014 2014 Citations: 7
Analytical review on various aspects of educational data mining and learning analytics JM Patil, SR Gupta 2019 international conference on innovative trends and advances in … , 2019 2019 Citations: 3
Intelligent Crop Management Optimization using Machine Learning Algorithms: A Linear Analytical Approach AH Harkare, AP Nilawar, RA Fadnavis, ARB Patil, JM Patil, U Patil Advances in Nonlinear Variational Inequalities 27 (3), 198-210 , 2024 2024 Citations: 2
Extracting Knowledge in Large Synthetic Datasets Using Educational Data Mining and Machine Learning Models DSRG Jaikumar M. Patil International Conference on Soft Computing for Intelligent Systems ICSICS … , 2021 2021 Citations: 2
MLEDM: Hybrid Machine Learning Approach using Real Time Data Processing for Educational Data Mining DSRG Jaikumar M. Patil Proceedings of the 3rd International Conference on Contents, Computing, and … , 2022 2022 Citations: 1
Implementation, Management and Analysis of User Groups of GSM database JM Patil, R Patel International Journal of Engineering Science and Technology, Special issue … , 2011 2011 Citations: 1
Multimodal Depression Detection in Pregnant Women: A Machine Learning Approach PV Deshmukh, AK Shahade, J Patil, P Gohatre University of Bahrain , 2026 2026
Explainable Multi-source AI Framework for Real-Time Stock Price Monitoring and Prediction M Patil, JM Patil, AK Shahade, PV Deshmukh Operations Research Forum 7 (1), 17 , 2026 2026
Intelligent Approach for Analyzing Semiconductor Band Gaps in Nanomaterial Systems BA Tingare, RA Kapgate, P William, JM Patil, TD Diwan, PM Patare, ... Sumy State University , 2025 2025
Novel Model for Classifying the Toxicity of Metal Oxide Nanoparticles HP Varade, JM Patil, BA Tingare, P William, VD Dabhade, RA Kapgate, ... Sumy State University , 2025 2025
Evaluation of Student Performance in Educational Data Mining Using Hybrid Deep Learning Technique DSRG Jaikumar M. Patil International Journal of NeuroQuantology, ISSN 1303-5150, DOI: 10.48047/nq … , 2022 2022
DeepEDM: Deep Learning Based Education Data Mining for Academic Student Performance Evaluation Model DSRG Jaikumar M. Patil International Journal of Computer Integrated Manufacturing Systems, CIMS … , 2022 2022
Machine Learning-Based Prediction of Big Mart Sales JM Patil Journal of Information and Computational Science UGC-CARE Group-II Certified … , 2022 2022
A Methodology for Implementing Algorithms Over Data from Student Performance Evaluation Using Machine Learning Algorithms DSRG Jaikumar M. Patil IN Patent 41,297 , 2022 2022
Literature Review: Educational Data Mining and Learning Analytics JM Patil International Conference on EMERGING TRENDS IN INTELLIGENT COMPUTING (ICETIC’21) , 2021 2021
