Items where Subject is "Machine Learning"

Article

A, SARANYA, and Anandan, R (2019) Stock Market Prediction using Machine Learning Algorithms. International Journal of Recent Technology and Engineering, 8 (2S4). pp. 280-283. ISSN 2277-3878

Abiramy, R and Kumar, Narayanan and Anandan, R and Swaraj Paul , C (2019) Fraud Detection for Online Retail Using Random Forest. International Journal of Engineering and Advanced Technology. ISSN 2249 – 8958

Adithya, S and Hanumanth Sujith, M and Harish, J and lessen Roy, V and Devi, R (2026) MindPulse: An AI-Powered Mental Wellness Prediction Platform Using Ensemble Machine Learning. IJCRT. ISSN 2320-2882

Agrawal, R. K. and Mohammad Shabbir, Alam and Rajesh Kumar, A and Aparna, N and GAYATHRI DEVI, S and Amit, Jain (2025) Machine Learning Approach for MRI Brain Tumor Detection using Regularized Extreme Learning. Machine Learning Approach for MRI Brain Tumor Detection using Regularized Extreme Learning. ISSN 979-8-3315-4265-8

Ahmed, Giramani Najeeb and Kamalakkannan, S and Kavitha, P. (2022) A Machine Learning Approach for Stochastic Pattern Analysis for the Measurement of Time-Series Datasets. Instrumentation Mesure Métrologie, 21 (5). pp. 199-205. ISSN 16314670

Amirthayogam, G. and ArunKumar, G. and Priyadharshini, A. and Sundar, R. and Thirumalaikumari, T. and Malliga, L. (2024) Vocalnet: Revolutionizing Voice-Enabled Email For The Visually Impaired With Machine Learning And Iot Synergy. Frontiers in Health Informatics, 13 (3). ISSN 2676-7104

Anandan, R and Bhyrapuneni, Srikanth and Kalaivani, K and Swaminathan, P (2018) A survey on big data analytics with deep learning in text using machine learning mechanisms. International Journal of Engineering & Technology, 7 (2.21). p. 335. ISSN 2227-524X

Angel Cerli, A. and SAROJINI, S. (2026) Jobshield – An Online Job Scam Detection using Machine Learning. International Journal of Science, Strategic Management and Technology, 2. pp. 1-5. ISSN 3108-1762

Asirvatham, Anisha and Meenakshi, C. (2025) The Impact of SMS Phishing using Machine Learning Classifiers with Innovative Techniques. Procedia Computer Science, 260 (1): 1. pp. 608-615. ISSN 1877 0509

Babjan, Patan and Rajendran, V. (2024) Experimental Evaluation of Spectrum Handoff Management with Machine Learning Algorithms Using Software Defined Radio. Wireless Personal Communications, 138 (1). pp. 149-170. ISSN 0929-6212

Balaji, Kannan (2026) Apex Analytics: F1 Circuit DNA Dashboard — An Interactive Web-Based Formula 1 Analytics Platform with Circuit DNA, Telemetry Visualisation, and Machine Learning Win Prediction. INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY, 12 (12). pp. 2399-2404. ISSN 2349-6002

Balaji, Kannan (2026) DIGITAL DNA FILE THREAT ANALYSIS SYSTEM. INTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN ENGINEERING MANAGEMENT AND SCIENCE (IJPREMS), 6 (4). pp. 2366-2369. ISSN e-ISSN : 2583-1062

Balakrishna, R. and Sajeev Ram, A and Manikandan, A (2017) Effective resource allocation for green computing. Journal of Advanced Research in Dynamical and Control Systems. pp. 57-61. ISSN 1943-023X

Bharathi, Lavanya and Chandrabose, Shanthi (2022) Machine Learning-Based Malware Software Detection Based on Adaptive Gradient Support Vector Regression. International Journal of Safety and Security Engineering, 12 (1). pp. 39-45. ISSN 20419031

C S, Shylaja and Anandan, R and Sajeev, Ram Arumugam (2019) CAD System forLung cancer detection using Adaptive NeuroFuzzy Classifier. International Journal of Pharmaceutical Research, 11 (4). ISSN 09752366

C., Kalpana (2020) Health Care Data Analysis through Machine Learning Meta Heuristic Algorithm. Journal of Advanced Research in Dynamical and Control Systems, 12 (7). pp. 196-201. ISSN 1943023X

C.Meenakshi, Anisha Asirvatham, (2023) SmishSMS- The Latest Detection of SMS Phishing Trends. Tuijin Jishu/Journal of Propulsion Technology, 44 (4). pp. 796-806. ISSN 1001-4055

Chandrasekaran, M. and Pavankumar, R. Sonawane and Sriramya, P. (2020) PREDICTION OF GEAR PITTING DEFECT BY USING DECISION TREE CLASSIFIER MACHINE LEARNING ALGORITHM. Journal of critical reviews, 7 (09). ISSN 23945125

Christybai, P. Jeba and Priya, R. (2025) Hybrid Model for Alzheimer Disease Prediction from Electronic Health Records of patients. 2025 2nd International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS). pp. 1-6.

DEEPA, R and Packialatha, A and Gnanajeyaraman Rajaram, R (2026) Edge-IoT Facilitated Multimodal Sensor Fusion for Threat Recognition in Women's Safety Wearables. IEEE SCOPUS.

Deepa, R. Intelligent Traffic Signal Optimization Using Deep Reinforcement Learning. IEEE SCOPUS. (In Press)

Deepa, R. and Jayalakshmi, V. and Karpagalakshmi, K. and Manikanda Prabhu, S. and Thilakavathy, P. (2024) Survey on Resume Parsing Models for JOBCONNECT+: Enhancing Recruitment Efficiency using Natural language processing and Machine Learning. International Journal of Computational and Experimental Science and Engineering, 10 (4). ISSN 2149-9144

Deepa, R. and Packialatha, A (2026) Edge-IoT Facilitated Multimodal Sensor Fusion for Threat Recognition in Women's Safety Wearables. IEEE Explore.

Divya, V. (2026) BLOOD PRESSURE PREDICTION AND ANALYSIS USING MACHINE LEARNING. JOURNAL OF ADVANCE AND FUTURE RESEARCH, 4. pp. 442-447. ISSN 2984-889X

Divya, V. (2026) CARDIAC RISK ASSESSMENT FROM CLINICAL DATA. International Journal of Engineering Development and Research, 14. pp. 947-957. ISSN 2321-9939

Divya, V. (2026) PERSONALIZED ADAPTIVE TUTORING SYSTEM USING PYTHON. INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH, 14. pp. 699-704. ISSN 2321-9939

Divya, V. (2026) PRODUCT DEMAND FORECASTING WITH CONSUMER BEHAVIOUR CLUSTERING. JOURNAL OF ADVANCE AND FUTURE RESEARCH, 4. pp. 761-767. ISSN 2984-889X

Divya, V. (2026) TWITTER SENTIMENT ANALYSIS. INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH, 14. pp. 168-174. ISSN 2321-9939

Divya, V. (2026) Transaction Fraud Detection: Fraud Intelligence Platform Machine Learning Based. INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH, 14. pp. 888-894. ISSN 2321-9939

Dr.R.Mahalakshmi, VISTAS (2026) Self-Adaptive Graph Analytics for Real-Time Fraud Detection in Transaction Networks. Proceedings of the 9th International Conference on Trends in Electronics and Informatics (ICOEI-2026) DVD Part Number: CFP26J32-DVD; ISBN: 979-8-3315-7587-8, CFP26 (j32): ISBN: 979. pp. 1350-1356. ISSN ISBN: 979-8-3315-7587-8

Ellappan, Prabakaran and Keshav, Lakshmi and Raja, Kalyana Chakravarthy Polichetty and Sanijya, Gunnam (2025) Improving forecasting of concrete strength using advanced machine learning methods. Matéria (Rio de Janeiro), 30. ISSN 1517-7076

Ezeddin, Maymouna and Chowdhury, Moajjem Hossain and Khandakar, Amith and Faisal, Md. Ahasan Atick and Gonzales, Antonio and Hossain, Md. Sakib Abrar and Murugappan, M. and Naik, Ganesh R. and Chowdhury, Muhammad E. H. (2025) Oscillometric blood pressure estimation using machine learning-based mapping of waveform features. Biomedical Engineering Letters. ISSN 2093-9868

Fahmida Begum, Begum and Ulaga Priya, K (2026) Intelligent Multi Model Ensemble for Engagement Prediction. Journal of Computer Scienc. ISSN 22 (4): 1421.1433

Gayathri, K and Afrin Banu, Y and Harini, L and Kumar, Narayanan (2017) Face Recognition based on Biometrics for New Born Babies. Journal of Advanced Research in Dynamical and Control Systems. ISSN 1943-023X

Gudla, Anjaneyulu and Khan, Eeshan and Parulekar, Waman Radhakrishna and Padmapriya, R and Prathi, S and Bhavanam, S Nagakishore (2025) Machine Learning Driven Economic Forecosting System for Real Time Market Insights. 2025 Tenth International Conference on Science Technology Engineering and Mathematics (ICONSTEM). pp. 1-6.

Jebamalar, J. Angelin and Kumar, Dr. A. Sasi (2019) PM2.5 Prediction using Machine Learning Hybrid Model for Smart Health. International Journal of Engineering and Advanced Technology, 9 (1). pp. 6500-6505. ISSN 22498958

Jeevitha, V and Priya, R (2025) Early Prediction of Postpartum Depression Using Machine Learning on Electronic Health Records. 2025 10th International Conference on Communication and Electronics Systems (ICCES). pp. 648-654. ISSN 979-8-3315-9756-6

Jemila, V Queen and Vidhya, Sathish and Devasena, T (2025) A COMPREHENSIVE SURVEY ON MACHINE LEARNING TECHNIQUES FOR FRAUD DETECTION IN SOCIAL NETWORKS. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND TECHNOLOGY, 16 (4). pp. 1-9. ISSN 0976-6480

Jerritta, Selvaraj (2026) RQA-based identifcation of emotions from electrocargiogram signals for emotion regulation in children with autism spectrum disorder. Health Information Science and Systems, 14 (47): 47(2026). pp. 1-16. ISSN 20472501

Josephine Isabella, S and Srinivasan, Sujatha (2018) An understanding of machine learning techniques in big data analytics: a survey. International Journal of Engineering & Technology, 7 (3.3). p. 666. ISSN 2227-524X

K., Pooja and Kanna R., Kishore and Li, G. and Subramaniam, U. and Sekar, M. (2024) Diagnosis of gastric cancer in role of endoscopic imaging techniques in artificial intelligence and machine learning applications: An overview. E3S Web of Conferences, 491. 03016. ISSN 2267-1242

KAMPALLI, RAMU and Kumar, Narayanan (2023) PREDICTIVE MAINTENANCE USING RNN AND LSTM MODELS. Journal of Theoretical and Applied Information Technology. ISSN 1992-8645

Kalaivani, G. and Mayilvahanan, P. (2021) Air Quality Prediction and Monitoring using Machine Learning Algorithm based IoT sensor- A researcher's perspective. 2021 6th International Conference on Communication and Electronics Systems (ICCES). pp. 1-9.

Kalaivani, M and Abirami, K and Dharmarajan, K (2024) An Effective Analysis of Feature Selection Methods for High Dimensional Data—A Survey. An Effective Analysis of Feature Selection Methods for High Dimensional Data—A Survey. pp. 182-186. ISSN 978-1-032-54998-9

Kalpana, Y. and Vasumathi, R (2026) An Empirical Comparative Analysis of LSTM-Based Time Series Models for Skill Gap Forecasting. Intelligent Systems for a Sustainable Future (ISSF 2026), 85. pp. 1-9. ISSN 2261-236X

Kasturi, K and Kalpana, Y. Spam Email Detection Using TF-IDF Based Support Vector Machine Approach. Spam Email Detection Using TF-IDF Based Support Vector Machine Approach, 6 (20). pp. 718-725. ISSN 2581-9429

Kathirvelu, Kalaivani and Ulagapriya, K. and Saritha, A. and Kumar, Ashutosh (2021) Predicting Student Performance for Early Intervention using Classification Algorithms in Machine Learning. Journal of Information Systems and Telecommunication (JIST), 9 (36). pp. 226-235. ISSN 2322-1437

Keerthi, K. Laleeth and Sridevi, S. and Kathirvelu, Kalaivani (2025) Design and Optimization of Low Power Intelligent System for Wearable Devices. Journal of Nanoelectronics and Optoelectronics, 20 (3). pp. 261-269. ISSN 1555-130X

Kiruthiga, C. and Dharmarajan, K (2025) Data-Driven Insights: A Critical Analysis of Farmer Call Centre Data Using Machine Learning Techniques. International Journal of Computational and Experimental Science and Engineering, 11 (2). ISSN 2149-9144

Komalavalli, S and Saritha, P S and Enoch Raja, DG and Manoj prasath, T and Lizy, A and Pushpalatha, K. and UNSPECIFIED1 (2025) Hybrid Attention-Infused Ensemble Learning Model for EEG-Based Workload Assessment. Hybrid Attention-Infused Ensemble Learning Model for EEG-Based Workload Assessment. pp. 1455-1460. ISSN 979-8-3315-4317-4

Krishnamoorthy, Suguna and Ramesh, Lekhavani and Subbarayalu, Ramalakshmi and Upadhyay, Viyat Varun and Nagarajan, Nagabhooshanam and Kannan, Sathish and Kaliappan, S. and Thakur, Yogendra (2025) Navigating the complex terrain of security challenges and crafting robust solutions in Mec-enabled IOT ecosystems for future societies. Peer-to-Peer Networking and Applications, 18 (6). ISSN 1936-6442

Krithika, D. R. and Rohini, K. (2021) Comparative Intrepretation Of Machine Learning Algorithms In Predicting The Cardiovascular Death Rate For Covid-19 Data. 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE). pp. 394-400.

Kuppan, P. and Vishwa Priya, V (2024) Crop Yield Prediction Using Ensemble Machine Learning Techniques. SN Computer Science, 5 (8). ISSN 2661-8907

M S, Balamurugan and V, Rajendran and S, Suma Christal Mary (2025) Machine Learning Based Hybrid Approach in Ransomware Recognition and Classification. International Journal of Electronics and Communication Engineering, 12 (2). pp. 140-151. ISSN 23488549

Mangayarkarasi, S. and Suganya, K. and kala, T.Sree (2019) Secure M-Banking using Steganography. International Journal of Innovative Technology and Exploring Engineering, 8 (11). pp. 2769-2772. ISSN 22783075

Manikandan, A and Anandan, R (2019) Analysis of Learning in Splitting Fuzzy Data for Drift Statistical Techniques. International Journal of Engineering and Advanced Technology (IJEAT), 8 (35). pp. 38-40.

Manikandan, D and Dhinesh, S and Saranya, S and Sathea Sree, S. and Varadharajan, S and Hemavathi, P V (2025) Deep Learning Based Early Detection of Ocular Squamous Cell Carcinoma in Calves. International Research Journal on Advanced Engineering Hub (IRJAEH), 03 (09). pp. 3455-3458. ISSN 2584-2137

Manikandan, D and Saranya, S and Divya Bairavi, S and Varadharajan, S and Dhinesh, S (2025) DeepCattle: A Deep Learning Framework for Automated Detection and Severity Assessment of Ocular Squamous Cell Carcinoma in Cattle. Advances in Computer Science Research. pp. 1118-1127. ISSN 2352-538X

Manikandan, Ramanathan and Kumar, Narayanan (2019) Prediction of Defects Returning Back to Test Engineers in Data Center Stability Testing using Machine Learning Techniques. International Journal of Innovative Technology and Exploring Engineering, 8 (6S4). pp. 1090-1092. ISSN 2278-3075

Mohsin, Karrar S and S, Chandravadhana and Chaudhari, Viharika and K, Balasaranya and Pari, R and B, Srinivasarao (2025) The Deployment of Machine Learning and On Board Vision Systems for An Unmanned Aerial Sprayer for Pesticides. Journal of Machine and Computing. pp. 600-610. ISSN 2789-1801

P., Sasikala and P., Dr.Mayilvahanan (2019) SNA: Construction of Meta classifications in Domain Modeling. Indian Journal of Computer Science and Engineering, 10 (4). pp. 97-103. ISSN 22313850

Pavani, Somireddy and Sahayadhas, Arun (2025) An Enhanced Privacy-Preserving Federated Learning Framework Using Attribute-Based Encryption for Smart IoT Systems. International Journal of Safety and Security Engineering, 15 (5). pp. 937-954. ISSN 20419031

Pooja, H. and Rajeshwari, K. S. and Shweta S., Kaddi and ANSHUN, CAI and Vijayanand j, Selvara and Thirumalaikumari, T. (2025) AI-Driven Solutions For Achieving SDG’s: Harnessing Machine Learning To Address Global Sustainability Challenges. International Journal of Environmental Sciences 1981, 11 (15a). ISSN 2229-7359

Poondy, Rajan Y and Kishore, Kunal and Anitha, Palanisamy and Senthil Kumar, Rajendran and Rupesh, Gupta and Madeshwaren, Vairavel (2025) Machine Learning Framework for Detecting Fake News and Combating Misinformation Spread on Facebook Platforms. International Journal of Computational and Experimental Science and Engineering, 11 (2). ISSN 2149-9144

Poornima, V. and R., RamyaDevi (2024) A Hybrid Model for Prediction of Diabetes Using Machine Learning Classification Algorithms and Random Projection. Wireless Personal Communications, 139 (3). pp. 1437-1449. ISSN 0929-6212

Pradeepa, G. and Devi, R. (2022) Lightweight approach for malicious domain detection using machine learning. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 22 (2). pp. 262-268. ISSN 22261494

Prithula, Johayra and Islam, Khandaker Reajul and Kumar, Jaya and Tan, Toh Leong and Reaz, Mamun Bin Ibne and Rahman, Tawsifur and Zughaier, Susu M. and Khan, Muhammad Salman and Murugappan, M. and Chowdhury, Muhammad E.H. (2025) A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients. Computers in Biology and Medicine, 184. p. 109284. ISSN 00104825

Priya, G. Jaculine and Saradha, S. (2021) Fraud Detection and Prevention Using Machine Learning Algorithms: A Review. 2021 7th International Conference on Electrical Energy Systems (ICEES). pp. 564-568.

RAMYA, V and Thirunavukkarasu, K S (2023) COVID OMICRON PREDICTION USING RANDOM FOREST CLASSIFICATION. Eur. Chem. Bull.. ISSN 3173-3185

Raghavendran, V. (2026) CONTEXT-AWARE PLAGIRASIM DETECTION FOR PHARAPHRASED CONTENT. International Research Journal of Modernization in Engineering Technology and Science, 8 (4). ISSN 2582-5208

Raghavendran, V. (2026) CUSTOMER SEGMENTATION AND PRODUCT RECOMMENDATION SYSTEM. INTERNATIONAL RESEARCH JOURNAL OF MODERNIZATION IN ENGINEERING TECHNOLOGY AND SCIENCE, 8 (4). ISSN 2582-5208

Rajakarthik, R. and V, Sumalatha and Rajalingam, R (2026) Decentralized Privacy Preserving Data Sharing Model for Electronic Health Records (EHR) Using Blockchain Technology. IET Blockchain, 6 (1). ISSN 2634-1573

Rajasekhar, Illuru and Monisha, M. (2025) Research direction towards exploring software control radio using machine learning algorithms for smart hotel applications with future aspects. Australian Journal of Electrical and Electronics Engineering, 22 (3). pp. 333-356. ISSN 1448-837X

Rajendran, Sathya and KS, Thirunavukkarasu (2025) Advanced classification techniques for weed and crop species recognition using machine learning algorithms. International Journal of Advances in Applied Sciences, 14 (2). p. 300. ISSN 2252-8814

Rajkamal, N. and Jothi Lakshmi, G.R (2025) Hybrid deep learning based vanished object detection and tracking in underwater image processing. Ships and Offshore Structures. pp. 1-14. ISSN 1744-5302

Rakshe, Chetan and Kunneth, Suja and Sundaram, Soumya and Murugappan, Murugappan and Agastinose Ronickom, Jac Fredo (2024) Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods. Neural Computing and Applications, 36 (20). pp. 12565-12585. ISSN 0941-0643

Ramya, S. and Sumalatha, V. (2024) Secure Content-Based Medical Image Retrieval Using Hybrid Optimized Deep Learning and Revised Genetic Rice Optimization Algorithm. 2024 IEEE 9th International Conference on Engineering Technologies and Applied Sciences (ICETAS). pp. 1-8.

Ramya, V and Thirunavukkarasu, K S (2024) An Covid-19 Disease Prediction and Analysis Using Sprint Algorithm in Machine Learning Technique. Journal of Chemical Health Risks. ISSN 2251-6727

Ravikumar, D. and Sasikala, K. and Vijayashanthi, R.S. and Prasad, S. Narasimha (2024) Analysis of smart grid-based intrusion detection system through machine learning methods. International Journal of Electronic Security and Digital Forensics, 16 (1). pp. 84-96. ISSN 1751-911X

Ribin Jones, S. B. and Kumar, Narayanan (2023) An efficient EDoS-DOME system in cloud computing using obfuscated IP spoofing technique and RCDH-ENN detection technique. Applied Nanoscience, 13 (2). pp. 1703-1715. ISSN 2190-5509

S. Archana, K and Arun, S (2018) Comparison of various filters for noise removal in paddy leaf images. International Journal of Engineering & Technology, 7 (2.21). p. 372. ISSN 2227-524X

S.Deepa, Rajan and Manikandan, A (2024) NAVIGATING CYBERSECURITY: A COMPREHENSIVE ANALYSIS OF MACHINE LEARNING IN CYBER ATTACK DETECTION. Journal of Theoretical and Applied Information Technology, 02 (21). pp. 7658-7669. ISSN 1992-8645

SAI MANOJ KUMAR, S and SATHISH KUMAR, C and Muthuchamy, K (2026) BROWSER-BASED REALTIME OBJECT DETECTION SYSTEM. Journal of Advance and Future Research, 4 (5): JAAFR_5093. pp. 31-50. ISSN ISSN: 2984-889X

SARANYA, A. and Anandan, R (2021) Autism Spectrum Prognosis using Worm Optimized Extreme Learning Machine (WOEM) Technique. 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). pp. 636-641.

Sakthi Bharathi, I and Ashok Kumar Katta, V. and Revathy, G (2026) Smart Mental Health Monitoring System using Wellness Score Analytics. International Journal for Multidisciplinary Research, 8 (2). pp. 1-10. ISSN 2582-2160

Sakthivanitha, M and Jayashree, S and Nathiya, R and Balaji, S and Mohammed, Mubarakunnisa and Maruthi, R (2025) Machine Learning Models for the Analysis of Multi Temporal Satellite Images for Change Identification and Predictions. Machine Learning Models for the Analysis of Multi Temporal Satellite Images for Change Identification and Predictions. ISSN 979-8-3315-0103-7

Sakthivel, R.M and Suresh, B. (2026) HealthGuardAI – Intelligent Multi-Disease Prediction and Health Monitoring System. International Journal of Multidisciplinary Research in Science, Engineering and Technology, 9 (5): 39. pp. 8167-8170. ISSN ISSN: 2582-7219

Samsun, A. and Angel Cerli, A. (2025) Resume parser using natural language processing and machine learning. INTERNATIONAL JOURNAL OF ADVANCE RESEARCH IN MULTIDISCIPLINARY, 3 (2). ISSN 2583-9667

Sankar, Kondireddy Muni and Booba, B. (2025) Performance Evaluation of Machine Learning Algorithms for Detecting Gas Leakage System. CLEI Electronic Journal, 28 (3). ISSN 0717-5000

Sasikala, K. and Jayakumar, Dr. J. and Senthil Kumar, Dr. A. and Chacko, Dr. Shanty and Queen, Dr. Hephzibah Jose (2022) Regression Based Predictive Machine Learning Model for Pervasive Data Analysis in Power Systems. International Journal of Electrical and Electronics Research, 10 (3). pp. 550-556. ISSN 2347-470X

Sayed Muhammed Fazil, P P and BHARATHI, A (2026) The Decentralized Dawn: Federated Learning, Data Sovereignty, And The Trajectory Of Modern Information Technology. INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS, 14 (1). b631-b637. ISSN 2320-2882

Selvam, R.P. and Devi, R (2025) STRATIFICATION OF FISH SPECIES USING COMPARATIVE MACHINE LEARNING ALGORITHMS. International Journal of Applied Mathematics, 38 (5s). pp. 746-755. ISSN 1314-8060

Senthil, G. A. and Raaza, Arun and Kumar, Narayanan (2022) Internet of Things Energy Efficient Cluster-Based Routing Using Hybrid Particle Swarm Optimization for Wireless Sensor Network. Wireless Personal Communications, 122 (3). pp. 2603-2619. ISSN 0929-6212

Senthil, G. A. and Raaza, Arun and Kumar, Narayanan (2021) Internet of things multi hop energy efficient cluster-based routing using particle swarm optimization. Wireless Networks, 27 (8). pp. 5207-5215. ISSN 1022-0038

Senthil, G.A. and Prabha, R. and Asha, R.M. and Suganthi, S.U. and Sridevi, S. and Ujwal, P. and Kumar, V. and Ullal, H.D. (2025) Integrating Bioengineering and Machine Learning: A Multi-Algorithm Approach to Enhance Agricultural Sustainability and Resource Efficiency. BIO Web of Conferences, 172. 02001. ISSN 2117-4458

Sheela Gowr, P. and Kalaiarasi, S. (2015) Accident Reproduction System For The Identification of Human Factors Involved on Traffic Accidents. International Journal of Applied Engineering Research, 10 (6). pp. 14277-14284. ISSN 0973-4562

Shenbaga Priya, V and Saranya, S and Manikandan, D and Balammal, V. and Pr, Shreeram and Ravindran, Sindhu (2025) Automated Detection and Classification of Necrotizing Fasciitis in Patient Affected Area Images using YOLO v9. IEEE Explorer. pp. 1-7.

Shibi, Mathai and Thirunavukkarasu, K S (2023) A comprehensive evaluation and meta-analysis of machine learning techniques for identifying and classifying chronic renal disease. International Journal of Research and Analytical Reviews (IJRAR). ISSN 2349-5138

Shiju, K Binu and Devi, R (2025) CNN- GRU algorithm-based chronic kidney disease prediction and classification. Advances in Computational Design. ISSN 2383-8477

Sivasankari, M. and Anandan, R and Rajesh, G. (2024) Application of Machine Learning Techniques on Multivariate Ocean Parameters. Journal of Scientific & Industrial Research, 83 (2). ISSN 00224456

Soji, Edwin Shalom and Kamalakannan, T (2024) Efficient Indian sign language recognition and classification using enhanced machine learning approach. International Journal of Critical Infrastructures, 20 (2). pp. 125-138. ISSN 1475-3219

Suganthi, V. and Jebathangam, J. (2025) A Novel Credit Card Fraud Detection by Outlier Identification and Elimination. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 16 (3). pp. 79-102. ISSN 20935374

Sumalatha, V and R.Santhi, Dr (2018) A machine learning driven approach to improve efficiency of classification algorithm using prediction of affliction. International Journal of Engineering & Technology, 7 (3.3). p. 206. ISSN 2227-524X

Swetha, S and Anandan, R and Kalaivani, K (2018) An investigation of micro aerial vehicles (µAV). International Journal of Engineering & Technology, 7 (2.31). p. 174. ISSN 2227-524X

Thailambal, G. and Ananthi, Sheshasaayee (2019) A Different Text Mining Process for Classifying Journal Databases using Machine Learning Algorithms. International Journal of Recent Technology and Engineering, 8 (2S11). pp. 239-243. ISSN 2277-3878

Thilakavathy, P. Federated learning for brain tumour detection and classification using improved ShuffleNet-PCNN architecture. Biomedical Signal Processing and Control.

Thirumal, S. and Thangakumar, J. (2022) Investigation of Hybrid Feature Selection Techniques for Autism Classification using EEG Signals. International Journal of Advanced Computer Science and Applications, 13 (4). ISSN 2158107X

Ulagapriya, K. and Kalaivani, K. and Saritha, A. (2018) Machine Learning Concepts and its Applications. International Journal of Management, Technology And Engineering, 8 (12). ISSN 2249-7455

Ulagapriya, K. and Kalaivani, K. and Saritha, A. (2017) Ontology based Augmented Semantic Content Extraction in Videos. International Journal of Pure and Applied Mathematics. pp. 237-246. ISSN 1311-8080

Ulagapriya, K. and Sangar, Pushpa (2021) A Rebalancing Framework for Classification of Imbalanced Medical Appointment No-show Data. Journal of Data and Information Science, 6 (1). pp. 178-192. ISSN 2543-683X

V, Pavithra and V, Jayalakshmi (2021) Comparative Study of Machine Learning Classification Techniques to Predict the Cardiovascular Diseases Using HRFLC. 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS). pp. 1-6.

VISTAS, Dr.R.Mahalakshmi (2026) Advanced Land Classification using U-Net for Satellite Images. Proceedings of the 9th International Conference on Intelligent Computing and Control Systems (ICICCS-2026, CFP26 (K74): 10.1109/IC. pp. 982-989. ISSN ISBN: 979-8-3315-8946-2

VISTAS, Dr.R.Mahalakshmi PREDICTIVE MODELS FOR STUDENT PERFORMANCE: A MACHINE LEARNING PERSPECTIVE. International Research Journal of Modernization in Engineering Technology and Science, 7 (7): 7070003838. pp. 1002-1007. ISSN e-ISSN: 2582-5208

VISTAS, Dr.R.Mahalakshmi Spatio-Temporal Land Cover Change Detection using Machine Learning and Google Earth Engine. pROCEEDINGS OF 9th International Conference on Intelligent Computing and Control Systems (ICICCS), Erode, India, 2026, pp. 1-9, Date of Conference: 16-18 March 2026, CFP26 (US4-D): 10.1109/IC. pp. 719-725. ISSN ISBN: 979-8-3315-5518-4

Vanaparthi, Kiranmai and Manikandan, A (2026) Enhancing Continual Learning in Neural Networks with Lightweight Beneficial Perturbation Networks. Journal of Internet Services and Information Security, 16 (1). pp. 253-276. ISSN 2182-2069

Vanaparthi, Kiranmai and Manikandan, A (2025) A Study on AI-Powered Threat Intelligence Systems for Proactive Cyber Defence. Global Journal of Engineering Innovations & Interdisciplinary Research, 5 (5). pp. 1-4.

Varadharajan, S and Pari, R (2026) Unraveling the Complexity of Genetic Interactions: A Critical Review of Methods for High-Order Epistasis Detection in Genomic Studies. De Gruyter Proceedings in Mathematics. pp. 465-476. ISSN 29424801 29424828

Varalakshmi, Sudha and Vijayalakshmi, P. and Rajendran, V. (2025) Advancement of an (in vitro/ex vivo) hybrid model framework to forecast polyviral lung disease outcomes. Journal of Investigative Medicine. ISSN 1081-5589

Varun, Janani and Karthika, R A (2024) Improving agility in projects using machine learning algorithm. Multimedia Tools and Applications, 83 (38). pp. 85987-86005. ISSN 1573-7721

Vijayalakshmi, P. and M, Ranga Swamy and Rajendran, V. (2025) CNN Versus Conditional Generative Adversarial Network cGAN–Digital Signature Authentication: Case Study. Journal of Information Systems Engineering and Management. ISSN ISSN: 2468-4376

Vijayalakshmi, P. and Rajasekaran, T. A. and Rajendran, V. (2025) Study on postal life insurance attributes and its growth prediction using machine learning algorithms. Study on postal life insurance attributes and its growth prediction using machine learning algorithms. ISSN 2502-4752

Vinod, D. and Akurathi Lakshmi, Pathi Rao and Manikandan, A and Vanaparthi, Kiranmai (2025) Comparative Study of Intrusion Detection Systems: Machine Learning Vs Deep Learning Approaches. Global Journal of Engineering Innovations & Interdisciplinary Research, 5 (5). pp. 1-5.

Vinodh, P. Vijayan and Kumar, Narayanan (2016) Coverage and Lifetime Optimization of WSN using Evolutionary Algorithms and Collision Free Nearest Neighbour Assertion. Pertanika Journal of Science and Technology. ISSN 0128-7680

Yuvaraj, Rajamanickam and Chadha, Shivam and Prince, A. Amalin and Murugappan, M. and Islam, Md. Sakib Bin and Sumon, Md. Shaheenur Islam and Chowdhury, Muhammad E. H. (2024) A Machine Learning Framework for Classroom EEG Recording Classification: Unveiling Learning-Style Patterns. Algorithms, 17 (11). p. 503. ISSN 1999-4893

preethi angaline, R and Nandhini, R and Deepa, R and Geetha, R and Muthulakshmi, M and Hemaprasanth, S (2026) A support vector machine framework for alzheimers diasease diagnosis using EEG data. IEEE SCOPUS. (In Press)

Book Section

UNSPECIFIED1 UNSPECIFIED1 In: UNSPECIFIED1 (ed.) UNSPECIFIED1 UNSPECIFIED1.

Arul Stephen, C. and Mathesh, R. and Venkat, L. and Ebenezer Abishek, B. and Vijayalakshmi, A. (2022) Evaluation of Various Machine Learning Algorithms for Detection of Attacks in 5G. In: Proceedings of International Conference on Power Electronics and Renewable Energy Systems. Springer, pp. 397-405.

Arumugam, Krishnamurthy and Sellappan, Malathi and Anand, Dheepa and Anand, Sadhanha and Radhakrishnan, Subhashini Vedagiri (2022) A Text Mining and Machine Learning Protocol for Extracting Posttranslational Modifications of Proteins from PubMed: A Special Focus on Glycosylation, Acetylation, Methylation, Hydroxylation, and Ubiquitination. In: Biomedical Text Mining. Springer, pp. 179-202.

Bharathi, A. and Hemamalini, U. and Prasanth, A. (2025) Augmented machine learning towards smart self-powered sensing systems. In: Self-Powered Sensors. Elsevier, pp. 31-45.

Chinnakamma Devi, J. and Mahalakshmi, R. (2025) Integration of Machine Learning Algorithms for Land Classification Using Satellite Images. In: 2024 Real-Time Intelligent Systems. Springer, pp. 45-55.

Gladshiya, V. Belsini and Sharmila, . (2024) A Comparative Study of Supervised and Unsupervised Machine Learning Algorithms for Predictive Analytics: Convergence of AI and IoT at the Cutting Edge. In: Reshaping Intelligent Business and Industry. Wiley, pp. 97-105. ISBN 9781119905202

Gowthami, G. and Sadhana, C. and Silvia Priscila, S. and Sangeetha, Radhakrishnan and Sakthivanitha, M. and Balaji, Kannan (2025) Enhancing Enterprise Network Security with Machine Learning: An In-Depth Analysis of Advanced Persistent Threat Detection. In: Lecture Notes in Networks and Systems ((LNNS,volume 1293)). Springer Nature Link, pp. 525-537.

Jaya, T. and Mohan, Manish and Alam, Matiullah Saif (2023) Effective Heart Disease Prediction Using Machine Learning—Modified KNN. In: Soft Computing for Security Applications. Springer, pp. 479-489.

Kalaiselvi, K. and Deepika, M. (2020) Machine Learning for Healthcare Diagnostics. In: Learning and Analytics in Intelligent Systems ((LAIS,volume 13)). Springer Nature Link, pp. 91-105.

Kalpana, Y. and Anitha, R (2025) CUSTOMER SEGMENTATION USING RFM INTEGRATED WITH UMAP AND HDBSCAN. In: Innovations and Research in Science and Technology. Bhumi Publishing, India, pp. 137-151. ISBN 978-93-47587-69-6

Kalpana, Y. and Kasturi, K. CURRENT TRENDS IN INTERNET OF THINGS (IOT) AND SMART TECHNOLOGIES: A COMPREHENSIVE REVIEW. In: Innovations and Research in Science and Technology. Bhumi, pp. 1-8.

Kasturi, K and Jebathangam, J. (2025) SIMILARITY MEASURES IN MOVIE RECOMMENDATION USING NLP TECHNIQUES. In: Artificial Intelligence for Better Tomorrow. Bhumi Publishing, India. ISBN 978-93-48620-72-9

Kesavan, Sujatha and Anbarasan, Kalaivani and Chandrasekharan, Tamilselvi and Sam, Dahlia and Ganesamoorthi, Nalinashini and Chandrasekar, Kamatchi and Kumar Ramaraj, Krishna and Ganga Bhavani, Nallamilli Pushpa and Veerabathran, Srividhya and Rengammal Sankari, B. and Jhansi, Gujjula (2023) Enhanced Machine Learning Techniques for Pest Control and Leaf Disease Identification. In: Future Farming: Advancing Agriculture with Artificial Intelligence. BENTHAM SCIENCE PUBLISHERS, pp. 1-22. ISBN Praveen Kumar Shukla Department of Computer Science & Engineering, Babu Banarasi Das University, Lucknow, UP, India Tushar Kanti Bera Department of Electrical Engineering, National Institute of Technology, Drugapur, India Future Farming: Adva

Kiruthiga, P and Sathish Kumar, C. and Chitra, D. and Parveen, K. Rizwana and Thangaraju, P. and Prathi, S and Silvia Priscila, S. (2026) Effective Classification and Intrusion Detection with Improved Optimization Techniques and a Deep MLP Model. In: Communications in Computer and Information Science. Springer, pp. 35-46.

Krithika, D. R. and Rohini, K. (2021) Bigdata Analysis Using Machine Learning Algorithm in Predicting the Cardiovascular Disease. In: Lecture Notes in Networks and Systems. Springer, pp. 177-187.

Lakshmi, A. and Devi, R. (2024) Heart Disease Prediction Using Ensemble Feature Selection Method and Machine Learning Classification Algorithms. In: Conversational Artificial Intelligence. Wiley, pp. 237-247. ISBN 9781394200801

Menaga, A. and Vasantha, S. (2022) Smart Sustainable Agriculture Using Machine Learning and AI: A Review. In: Ambient Communications and Computer Systems. Springer, pp. 447-458.

Mohana Priya, G. and Latha, M. and Archana, K. S. (2022) Analyzing Data in Decision Making for Educational Universities Using Machine Learning. In: Ambient Communications and Computer Systems. Springer, pp. 459-466.

Moyeenudin, H. M. and Bindu, G. and Anandan, R (2024) Blockchain Networks for Cybersecurity Using Machine-Learning Algorithms. In: EAI/Springer Innovations in Communication and Computing. Springer, pp. 233-242.

P. Thilakavathy, P (2026) Human-AI Synergy in Oncology and Cybersecurity: Ethical Clinical Intelligence for Patient Care and Organ Trafficking Prevention. In: Organ Trafficking Prevention in the Healthcare Sector: Examining the Co- Creation of Cybersecurity Value. IGI Global Scientific Publishing. ISBN 9798337366968

Padma, E. Optimizing Information Retrieval Efficiency Using Machine Learning and Natural Language Processing. In: Retrieval-Augmented Techniques and Tools for Real-World Generative AI Systems. Wiley Publication, USA. (Unpublished)

Padma Vijetha Dev, B and Kaliprasad, C S and Kalpana, R (2025) Cybersecurity in IoT Ecosystems Using Lightweight Deep Learning Models. In: machine learning and deep learning techniques for cybersecurity risk prediction and anomaly. Rademics books, Chennai, pp. 1-30. ISBN 9349552043

Padmini, A. and Yogeshwari, M. (2024) A Survey on Exploring the Relationship Between Music and Mental Health Using Machine Learning Analysis:. In: Cross-Industry AI Applications. IGI, pp. 304-318.

Praveena, A. and Yogeshwari, M. (2024) A Review of Prediction on Alzheimer's Disease Using Machine Learning Techniques:. In: Advancements in Clinical Medicine. IGI, pp. 366-378.

Preethi, I. and Dharmarajan, K (2024) A Novel Method for Predicting Kidney Disease using Optimized Multi-Layer Perceptron (PKD-OMLP) Classifier. In: Advancements in Smart Computing and Information Security. Springer, pp. 69-82.

Ramesh, Lekhavani and Krishnamoorthy, Suguna and Subbarayalu, Ramalakshmi and Mohanavel, Vinayagam and Vijayakumar, Vishnu Raja and Kannan, Sathish and Thangarasu, Pavithiradevi and Azrour, Mourade (2026) IoT for Wastewater Monitoring in a Smart Environment. In: Internet of Things and Green Technologies for Smart Environment. CRC Press, Boca Raton, pp. 34-50. ISBN 9781003675426

Renuga, S and Dr. Padma, R and Dr. Parameswari, R (2026) The Passion Compass: Using Machine Learning To Align Academic Talent With Career Success. In: Optimization Techniques for Computational Mathematics, Network Analysis, Fluid Mechanics and Machine Learning. SRR, pp. 1-16. ISBN 978-81-685538-5-9

Revathi, A. and Priya, R. (2025) Geometrically Innovated Machine Learning for Optimized Prediction of Rice Blast Disease. In: Communications in Computer and Information Science ((CCIS,volume 2425)). Springer Nature Link, pp. 30-41.

Roy, Chandrima Sinha and Parvathavarthini, K. and Gomathi, M. and Fatangare, Mrunal Pravinkumar and Kishore, D. and Suthar, Anilkumar (2025) Brain Tumor Classification and Detection Using Machine Learning by Analyzing MRI Images. In: Natural Language Processing for Software Engineering. Wiley, pp. 193-205. ISBN 9781394272464

S., Muthuselvan and R., Karthikeyan and M., Rajasekaran and K., Rajakumari and S., Rajes kannan and S., Anupriya (2024) Machine Learning for the Detection of Uniform Resource Locator Phishing:. In: Metaheuristic and Machine Learning Optimization Strategies for Complex Systems. IGI, pp. 40-48.

Sajwan, Ananya and Das, Soumyadeepta and Phamila, Asnath Victy and Kathirvelu, Kalaivani (2024) Blockchain-Based Organ Donation and Transplant Matching System. In: EAI/Springer Innovations in Communication and Computing. Springer, pp. 175-183.

Santhi, S and Arunachalam, A S (2026) An Analysis of Disease Prediction and Symptom Classification Based on Machine Learning with the CT Kidney Dataset. In: Smart Innovation Systems and Technology. Proceedings of Fifth International Conference on Advances in Computer Engineering and Communication Systems, pp. 189-197.

Sujatha, P. and Dhivya, R. S. (2021) Qualitative Assessment of Machine Learning Classifiers for Employee Performance Prediction. In: Lecture Notes in Networks and Systems. Springer, pp. 339-349.

Sweetline Priya, E. and Priya, R. (2024) Novel Approach to Blood Supply System Using Machine Learning and Blockchain Technology. In: Evolution in Signal Processing and Telecommunication Networks. Springer, pp. 361-378.

Tharani, A. P. and Sumalatha, V. and Meenakshi, S. (2026) Enhanced E-Learning Community Detection Using Distributed Overlapping Feature Selection-Based Evolutionary Propagation Recurrent Neural Network. In: Smart Innovation, Systems and Technologies ((SIST,volume 117)). Springer Nature, pp. 29-39. ISBN 978-981-96-4409-4

Conference or Workshop Item

A, Manikandan. and Kumar, Narayanan and Thirumal, S. (2023) Identify The Potential Instance of Copy Forgery Using Similar Algorithm. In: 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India.

Ambuli, T.V and Venkatesan, S. and Sampath, K. and Devi, Kabirdoss and Kumaran, S. (2024) AI-Driven Financial Management Optimizing Investment Portfolios through Machine Learning. In: 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT), Kollam, India.

Amuthavalli, A and Nandhini, K (2025) Analysis of Malnutrition Prediction in Children using ML Techniques. In: ICSCSS, 20-22 August 2025, Coimbatore, India. (In Press)

Amuthavalli, A and Nandhini, K (2025) Child Malnutrition Prediction Using Machine Learning Algorithm. In: National Conference on CATEGORY NextGen Computing and Future Technologies (NCNCFT' 25), Pallavaram, Chennai.

Anitha Kumari, D. and Karim Shaikh, Irfan Abdul and Gangadharan, S. and Narendra Kiran, P B and Ramya, S. R. and Nargunde, Amarja Satish (2024) Machine Learning for Diversity and Inclusion: Addressing Biases in HR Practices. In: 2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST), Jamshedpur, India.

Arockiya Selvi, S and Kamalakannan, T (2025) Emotional Contribution to Parkinson's Disease Diagnosis Using Machine Learning for EEG Dataset Generation. In: 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), Goathgaun, Nepal.

Arockiya Selvi, S and Kamalakannan, T (2025) Machine Learning based Prediction of Parkinson's Diseases. In: 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL), Bhimdatta, Nepal.

Arshad, F. Mohammed and Sharmila, K. (2024) Advances in Machine Learning for Stroke Prediction: A Comprehensive Review. In: 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal.

Arunkumar, N and Nisha Dayana, T R (2025) Machine Learning Models for Android Malware Detection–A Comparative Study. In: 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India.

Axcellin, T and Kamalakkannan, S (2025) Machine Learning-Based Traffic Flow Prediction and Management. In: 2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.

B, Ramakrishnan. and Meenakshi, C. (2025) Zero Trust Architecture for Cloud and Network Security: A Next-Generation Approach to Access Control. In: 2025 International Conference on Biomedical Engineering and Sustainable Healthcare (ICBMESH), Manipal, India.

Bhagya, A. and Perumal, S (2024) Diverse Image Processing Techniques for Machine Learning Methods. In: 2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), Krishnankoil, Virudhunagar district, Tamil Nadu, India.

Bhavani, R. and Kathirvelu, Kalaivani (2024) Advancements in Speech Recognition: Exploring Feature Extraction Techniques for Enhanced Accuracy and Human-Machine Communication. In: 2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India.

Deepa, R and Jayalakshmi, V and Thilakavathy, P. and Bennet Prabhu, A and Surendran, R (2024) Quantum Machine Learning Techniques based on Nurturing Agri-Ontology Framework in Agricultural Science. In: 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India.

Deepika, M. (2021) A Prognostic Thyroid Disorder analysis based on Thyroid Test Measure with ECG. In: 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India.

Divya, Komati and Bhargavi, C H and Abirami, M. and Arjun, Ponnaganti and Padmaja, Pabbathi and Dhanwanth, Batini (2024) An Approach to Radiotherapy Treatment Planning based on Machine Learning Algorithms. In: 2024 International Conference on Expert Clouds and Applications (ICOECA), Bengaluru, India.

Divya Bairavi, S and Nishant Kumar, Kumar and Prabavathi, S and Ponmathi, M ECOHUB-An AI Driven and Machine Learning Based Smart Organic Farmer to Consumer Supply Chain System. In: ECOHUB-An AI Driven and Machine Learning Based Smart Organic Farmer to Consumer Supply Chain System, 17/04/2026, Trichirapalli.

Dr.S.Mangayarkarasi Machine Learning-Driven Precision Farming For early Detection of Crop diseases. In: Machine Learning-Driven Precision Farming For early Detection of Crop diseases.

Ezhilvani, G. and Thailambal, G. (2025) Pragmatic Analysis in Supervised Machine Learning Methods for Heart Disease Risk Prediction. In: 2025 International Conference on Inventive Computation Technologies (ICICT), Kirtipur, Nepal.

Fahmida Begum, . and Ulaga Priya, K (2025) Adaptive Heterogeneous Multi-Model Ensemble Framework for Modeling and Enhancing Student Engagement Using Multimodal Educational Data. In: 2025 IEEE International Conference on Advanced Computing Technologies (ICACT).

Felix.V, John and K, Sharmila. (2025) An Empirical Review to Identify Huntington's Disease in Human Beings Using Machine Learning Techniques. In: 2025 International Conference on Inventive Computation Technologies (ICICT), Kirtipur, Nepal.

Fernandez, F. Mary Harin and Ramachandran, A. Ganesh and Saravanan, S. K. and Bhanumathi, M. and Sangeetha, M. (2024) Advancements in Object Detection for Accurate and Efficient Visual Recognition Using Machine Learning. In: 2024 Second International Conference on Advances in Information Technology (ICAIT), Chikkamagaluru, Karnataka, India.

Gladshiya, V. Belsini and Sharmila, K. (2022) Analyzing the Student's Risk in using Electronic Gadgets using Hybrid Machine Learning Model as Case Study. In: 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

Govindasamy, Chinnaraj and Nisha Dayana, T R and Adkar, Siddhika Dilip and Prakash, D. Shyam and Gupta, A. Shilpa and Trivedi, Sanjeev Kumar (2024) Intelligent Energy Management Energy Storage Systems Using Machine Learning. In: 2024 International Conference on Intelligent Systems for Cybersecurity (ISCS), Gurugram, India.

Gowtham, K and SANTHOSH, S and DEEPA, R (2025) TaskPilot AI – Your Smart Planner That Acts for You. In: Taskpilot AI - Your Smart Planner That Acts For You.

Gunjan, Nayak and Gugan, R and Kumar, Narayanan (2026) Implementation of Deepface Recognition Using Insight Face For E-Commerce Web Application. In: 7th International Conference on Computational Intelligence and Industry 5.0 (ICCII - 2026), 27.03.2026 & 28.03.2026, Velammal Institute of Technology, Chennai.

H, Ramya and Jaya, T. (2024) Machine Learning-Based Optimization of Channel and Power Allocation in 5G Systems. In: 2024 Global Conference on Communications and Information Technologies (GCCIT), BANGALORE, India.

J, Anciline Jenifer and Sakthivanitha, M. and Sheela, K. and Sudha, S. and Thirumalaikumari, T. and Padmanabhan, Sankar (2025) Lightweight Homomorphic Encryption for Privacy-Preserving Machine Learning on Edge Devices. In: 2025 6th International Conference on Smart Electronics and Communication (ICOSEC), 24-26, September 2025, Trichy, India.

Jaisharma, K and Thirumal, S. (2026) An Automatic Ensemble Multi-Model Chat Context Music Recommender Model. In: Proceedings of the 6th International Conference on Smart Electronics and Communication (ICOSEC-2025).

Jaya, T. and Vijayalakshmi, P. and Monisha, M. and Madona B, Sahaai and Akash, S. and Samu, V. (2025) 5G Base Station Power Consumption Using Machine Learning. In: 2025 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE), Shivamogga, India.

Jayashree, S. and Royal, G.K. Sai Rohith and Pavan, CH. (2026) An Integrated Machine Learning Architecture for Multi-Disease Prediction Using Ensemble Models and Advanced Training-Optimization Techniques. In: 2026 8th International Conference on Intelligent Sustainable Systems (ICISS), Tirunelveli, India.

Jenifer J, Anciline and Piramu, Preethika S.K. (2025) Machine Learning based Anomaly and Threat Detection System in Real Time Social Internet of Things using Dimensionality Reduction Techniques. In: 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS), Prawet, Thailand.

Jessica, L and Ulagapriya, K (2026) FETAL AUDITORY FUNCTIONALITY ASSESSMENT. In: INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SCIENCE, ENGINEERING AND MANAGEMENT, 24.04.2026, Chennai.

Jhansi, B and Kamalakannan, T (2025) Enhancing Early Detection of Heart Disease Using Ensemble, Traditional, and Hybrid Machine Learning Techniques. In: 2025 International Conference on Communication, Computer, and Information Technology (IC3IT), Mandya, India.

K, Lavanya and Packialatha, A. (2024) A Mango Disease Prediction for Smart Agiculture using Machine Learning Algorithms. In: 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal.

K, Sumathi. and Mangayarkarasi, S. (2024) Climacteric Defective Sapota Identification using Machine Learning-A Novel method in Segregating Latex Oozing and Rot using Augmented Images. In: 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

Kalpana, P. and Sridevi, S. (2022) A survey on recognition and classification of paddy leaf diseases using image processing and machine learning techniques. In: INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN SCIENCE AND TECHNOLOGY (RIST 2021), 20/06/2021, Malappuram, India.

Kalpana, Y. and Anitha, R (2026) Customer Behavior Analytics Using Manifold Learning and Ensemble Clustering. In: International Conference on AI-Driven Smart Systems and Ubiquitous Computing (ICAUC-2026), 19-21 January 2026, Thailand.

Kalpana, Y. and Anitha, R (2025) Enhancing Customer Segmentation: A Novel Approach using Machine Learning Algorithms. In: 5th International Conference on Soft Computing for Security Applications (ICSCSA 2025), 04-06 August 2026, Salem.

Karpagalakshmi, P. and Dhanashree, S.R. and Wahidh, M. Abdul and Rajesh, A. (2024) Predicting College Dropout Rates using Machine Learning: A Student Success Initiative. In: 2024 International Conference on Computing and Data Science (ICCDS), Chennai, India.

Karunakaran, Sangeetha and Akila, D. (2024) Sparse Autoencoder (SAE) based Image Classification with Enhanced Security for College Attendance System. In: 2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkuru, India.

Kavitha, N. (2026) Automated Urine Color Analysis using MTCNN for Rapid and Non-Invasive UTI Detection. In: 2025 5th International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN), 24-26 November 2025, Coimbatore, India.

Kavitha, P and Jayalakshmi, V and Kamalakkannan, S (2022) Classification of Skin Cancer Segmentation using Hybrid Partial Differential Equation with Fuzzy Clustering based on Machine Learning Techniques. In: 2022 International Conference on Edge Computing and Applications (ICECAA), Tamilnadu, India.

Krishna, C.J and Kumar, Narayanan (2025) A Study on various approaches used in Medical Image Security using Visual Cryptography. In: IEEE 2nd International Conference on Computing and Data Science (ICCDS-2025).

Kumar, T.Shathish and Booba, B. (2021) A Systematic Study on Machine Learning Techniques for Predicting Software Faults. In: 2021 IEEE Mysore Sub Section International Conference (MysuruCon), Hassan, India.

Lavanya, B. and Shanthi, C. (2021) Gradient Conventional Recursive Neural Classifier Algorithm to Analyze the Malicious Software Detection Using Machine Learning. In: 2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India.

M, Thulasi. and Thailambal, G. (2025) An Ensemble Machine Learning Model for Osteoporosis Risk Prediction from Medical Data. In: 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS), Prawet, Thailand.

Mahalakshmi, R. and Kumutha, K. and Sakthivanitha, M. and Bagavathi Lakshmi, R and Sirajudeen, Mohamed and Padmanabhan, Sankar (2025) Hyperspectral Images for Crop Prediction using Machine and Deep Learning Models. In: 2025 International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India.

Mahalakshmi, S and Bagavathi Lakshmi, R (2026) SOCIAL MEDIA–DRIVEN FLOOD CRISIS MANAGEMENT: AN AI APPROACH USING NLP AND MACHINE LEARNING FOR REAL-TIME DISASTER DETECTION AND RESPONSE. In: INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTER SCIENCE 27TH & 28TH FEBRUARY 2026.

Mahendran, S. Radha and Dogra, Akriti and Mendhe, Dinesh and Babu, S. B G Tilak and Dixit, Shriniket and Singh, Surya Pratap (2024) Machine Learning-Assisted Protein Structure Prediction: An AI Approach for Biochemical Insights. In: 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), Chennai, India.

Malathi, P. and Devi, S. Rukmani and Senbagam, K. and Thirumalaikumari, T. and Basha, H. Anwer and Thamizhkani, B. (2024) A Machine Learning Approach for Predictive Analysis of Jasmine Flower Yield and Plant Health Monitoring. In: 2024 International Conference on Electronic Systems and Intelligent Computing (ICESIC), Chennai, India.

Mani, Goyal and Bharathi, V and Omkar, Singh and Gaurav, Vats and Meenakshi, Munjal and Mohit, Garg (2026) Network Selection in Device-to-Device Communication Using Genetic AI. In: 1st International conference on Artificial Intelligence & Machine Learning in Communication and Power systems(AIMLCPS-2026).

Manikandan, D and Karthick, S and Santhosh, R and Santha kumari, S (2025) Coughsense: Deep Learning based Audio-Driven Tuberculosis Detection using Spectrogram. In: National Conference on NextGen Computing and Future Technologies, 10.10.2025, VISTAS.

Manikandan, D and Karthik, S and Santha Kumari, S and Santhosh, R (2026) ONION GUARD: AN IOT-BASED ONION SPOILAGE RISK DETECTION SYSTEM. In: Avishkar 5.0 - the Intra-University Technical Project Expo, 02-04-2026, VISTAS.

Manikandan, D and Sri Sourish, M and Saran, R and Vivegan, G (2026) A SMART AGRICULTURE APPROACH FOR AND SHELF-LIFEPREDICTION USING IOT MANGO RIPENESS DETECTION. In: International Conference on Interdisciplinary Research for Innovation and Sustainability (ICIRIS-2026), 19th–20th March 2026, ICFAI University, Raipur.

Meena, M. and Binolisha, V. and Mandal, Trishna (2025) Automatic modulation classification and performance analysis under Awgn using machine learning in cognitive radio. In: INTERNATIONAL CONFERENCE ON COGNITIVE COMPUTING AND ARTIFICIAL INTELLIGENCE (ICCCAI - 2024), 7–8 March 2024, Chennai, India.

Megala, M and Nisha Dayana, T R (2025) Advancements in Skin Disease Diagnosis Through Machine Learning-Driven Lesion Segmentation Techniques. In: 2025 International Conference on Inventive Computation Technologies (ICICT), Kirtipur, Nepal.

Murali, Kanthi and Devi, Bigul Sunitha and Muthubalaji, S. and Sridhar, Koppula and Sivakami, R. and Akila, A. (2025) A Smart Intelligent Agriculture Technique for Leaf Disease Identification and Monitoring Using Deep Learning. In: 2025 IEEE International Conference on Advanced Computing Technologies (ICACT), Tirupati, India.

Murugan, Suganiya and G, Kalaiarasi and Saritha, B. and Kumar, S. Pradeep and Rubini, B. (2025) Comparison of Machine Learning Models for Injury Prediction in Athletes. In: 2025 International Conference on Visual Analytics and Data Visualization (ICVADV), Tirunelveli, India.

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Book

Angel Cerli, A. and Vishwa Priya, V and Gayayhiri, B and Rasitha Banu Gulmohamed, G (2025) Machine Learning for Cyber Security. UDHAYAS SPNC PUBLICATION. ISBN 978-93-49030-80-0

Deepak, D and Sarvesh, S and Revathy, G (2026) Smart Helmet for Real-Time Drowsiness and Alcohol Detection with IoT-Enabled Emergency Alerts. International Conference on Advances in Green Net-Zero Innovation – Sustainability AGNI-S 2026 . National Institute of Technology, Trichirapalli.

Jayalakshmi, V (2026) Machine Learning. RG International Publications. ISBN 978-93-47331-17-6.

Pavan Kumar, P and SAMBASIVA RAO, P and Mohammad, Saleem and Manikandan, A (2026) Machine Learning Techniques for Real World Applications. Innoconflux Publications, HYDRABED. ISBN 978-81-998819-8-3

SUMANA, M YOLO MEDICAL IMAGE PROCESSING. Notion Press Media Pvt. Limited. ISBN 9798903921225

Swarnalatha, G and Sravanthi, Madugula and Kalpana, Kathayat and Manikandan, A (2025) BLOCK CHAIN AND BEYOND:EXPLORING DISTRIBUTED LEDGER TECHNOLOGY. Libro International publisher, Telgana. ISBN 9789349091085

TORTHI RAVICHANDRA, R and PRIYADHARSINI, D. and Kumutha, K. (2026) FOUNDATIONS OF MACHINE LEARNING. RCHUB PUBLISHERS, CHENNAI. ISBN 978-81-994619-8-7

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202541073668 A (2025) A MACHINE LEARNING BASED DEVICE FOR AUTOMATION OF TESTING OF SOFTWARE DEVELOPMENT. G06F0011360000.

202541040761 A (2025) PREDICTIVE HYGIENE FOR HEALTH MONITORING AND RISK REDUCTION USING MACHINE LEARNING. 202541040761 A.