Items where Division is "Computer Science" and Year is 2025

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ARUMUGAM, SAJEEV RAM and Sheela Gowr, P. and Anna Devi, E. and Elavarasi, J. and Karuppasamy, Sankar Ganesh (2025) Optimizing Tomato Leaf Disease Identification Using a Hybrid Spatial-Temporal Model and Attention Mechanism. In: Artificial Intelligence Based Smart and Secured Applications. Springer, pp. 99-110.

Akhil, S. and Durga, R. (2025) Analysis and Detection of Diseases in Leaf Images for Sugarcane using Efficient PARNET-52 Deep Learning Techniques. In: International Conference on Advanced Research in Electronics and Communication Systems (ICARECS 2025. Atlantis Press - Springer Nature, pp. 121-133. ISBN 978-94-6463-754-0_12

Alen Gamber, B and Abirami, K and Dharmarajan, K (2025) A literature survey on Load Balancing Algorithm in Green Cloud Computing. Journal of Emerging Technologies and Innovative Research. ISSN 2349-5162

Anbarasi, C. and Leema Raina, F and Sheela, K. and Vedavalli, S (2025) Big Data Analytics. Charulatha Publications. ISBN 978-93-71-30-15-72

Angamuthu, T and Arunachalam, A S (2025) Hybrid deep learning technique for Identifying Diseases in Sugar-cane Crops. Research Square.

Angel Cerli, A. and Sharuk, V. (2025) Web-Based Application Designed to Detect and Classify Scam Emails, Malicious URL. IJMRSET, 8 (6).

Angel Cerli, A. and Shiammala, P N and Gowtham, M and Bagavathi Lakshmi, R and Mahalakshmi, B and Sudha, S. (2025) Graph Neural Networks for Predicting Urban Traffic Congestion in Smart Cities. In: 2025 6th International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India.

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

Angel Cerli, A. and Yahkoobali, - (2025) Agri seeds. IJIRSET, 14 (6).

Anwar, Rasiya and Mangayarkarasi, S. (2025) Secure and Energy-Efficient Wireless Sensor Networks through 5G Integration and Quantum Key Distribution. Indian Journal of Computer Science and Technology. pp. 222-229. ISSN 25835300

Anwar, Rasiya and Mangayarkarasi, S. (2025) A review on the performance analysis of high-performance computing techniques in wireless sensor networks. In: INTERNATIONAL CONFERENCE ON MANUFACTURING, MATERIAL SCIENCE AND ENGINEERING: ICMMSE2024, 16–17 August 2024, Nalgonda, India.

Arasi, B.Ilakkiya and Hemamalini, U. (2025) A Survey on AI-Powered Solutions for Gastrointestinal Cancer: Endoscopy Image Segmentation and Classification. In: 2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Tirunelveli, India.

Aravind, A. and Poongodi, A. (2025) Evaluation of MANET Routing Protocols: An AODV, DSR, and DSDV Perspective. In: Lecture Notes in Networks and Systems ((LNNS,volume 1421)). Springer Nature Link, pp. 121-134.

Aravind, A. and Poongodi, A. (2025) Quantum-Driven Resilient Pathway Discovery for Optimized Security and Performance in MANETs under Adversarial Conditions. In: 2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Tirunelveli, 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.

Arul., S. and Kavitha, P and Kamalakkannan, S (2025) Deep Learning Crime Monitoring and Alerting System using Hybrid Feature Engineering technique with IoT Technology. In: 2025 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India.

Arun, N and Nisha Dayana, T R (2025) Machine Learning based Multilayered Feature Analysis for Android Malware Detection. In: 2025 6th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

Arunkumar, N and Nisha Dayana, T R (2025) Feature Extraction and Classification in Android Malware Detection with the Integration of Autoencoders and Transfer Learning. Journal of Information Systems Engineering and Management, 10 (15s). pp. 567-577. ISSN 2468-4376

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.

Axcellin, T. and Kamalakkannan, S (2025) Score-Level Fusion Approach for Traffic Flow Prediction in Intelligent Transportation System. In: 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), Goathgaun, Nepal.

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Babu, R Anand and Vishwa Priya, V and Kumar Mishra, Manoj and Ramesh Raja, Inakoti and Kiran Chebrolu, Surya and Swarna, B (2025) Transformer-Based Tabular Foundation Models: Outperforming Traditional Methods with TabPFN. International Journal of Engineering, Science and Information Technology, 5 (3). pp. 448-455. ISSN 2775-2674

Bagavathi Lakshmi, R. and Narayani, D. and Arunadevi, K. and Jayashree, S and Kumutha, K. and Nandhini, K (2025) Sustainable Computing: Green Technologies for a Digital Future” Exploring the role of energy-efficient hardware, algorithms, and practices in reducing carbon footprints. In: Deep Intelligence: Merging Data Science, Artificial Intelligence, Healthcare and Finance to E-Commerce for Autonomous. STANZALEAF PUBLICATION, pp. 85-92. ISBN 978-81-984818-7-0

Bathushaw, M. Husain and Nagasundaram, S. (2025) Securing Healthcare Systems: Modern Threats and Strategic Developments in Cybersecurity. In: Lecture Notes in Networks and Systems ((LNNS,volume 1241)). Springer Nature Link, pp. 303-315.

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Chairmadurai, P. and Kavitha, P and Kamalakkannan, S (2025) Enhanced Bayesian Optimized Support Vector Machine (BO-SVM) Classification and Prediction of Heart Disease. In: 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL), Bhimdatta, Nepal.

Chandra Mohini, C P and Raghavendran, V. (2025) Digital Twin-Assisted Learning Performance Prediction for Shopfloor Employees Using Deep Learning Model. In: 2025 IEEE 4th World Conference on Applied Intelligence and Computing (AIC), GB Nagar, Gwalior, India.

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.

Chitra, J and Piramu Preethika, S. K. (2025) Bot Detection and Multi-Level Encryption in Multiple Cloud Storage for Recommendation Systems. International Journal of Electronics and Communication Engineering, 12 (7). ISSN 23488549

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D, Pradeep Kumar and Dharmarajan, K (2025) ECG based Heart Disease Classification and Prediction using Deep Learning Methods. In: UNSPECIFIED1.

Daniel, R and Durga, R (2025) ENHANCING LOAD BALANCING AND SCALING ALGORITHMS IN CLOUD COMPUTING USING AGENT-BASED AI SYSTEMS. In: National Article on Mixed Methodology Souvenir 2025. Payanam. ISBN 978-93-47021-37-4

Daniel, R and Durga, R (2025) Enhancing Load Balancing and Scaling Algorithm in Cloud COmputing Using Agent-Based AI Systems. In: National Article on Mixed Methodology Souvenir 2025. Payanam. ISBN 978-93-47021-37-4

Deepa, G. and Kalpana, Y. (2025) Optimized Dense Neural Network Architecture for Bone Marrow Cancer Classification Using Custom Callbacks. In: 2025 International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI), Erode, India.

Deepa, J and Akila, A (2025) 3d Vision in Deep Learning Approaches On Assisted Reproductive Technologies of IVF. Rundschau, 123 (4). pp. 332-350. ISSN 00120413

Deepa, J. R. and Akila, A. (2025) Deep Learning Methods Enhancing IVF Success Through Embryo Selection and Follicular Analysis. In: 2025 4th International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India.

Deepa, S. and Booba, B. (2025) Hybrid Ensemble Gradient Boosting Algorithm to Predict Diabetes Health Care Analytics. In: Communications in Computer and Information Science. Springer Link, pp. 92-105.

Deepika, C and Abirami, K and Dharmarajan, K (2025) Adaptive Multi-Tunneling Framework for VPNs: A Novel Approach to Mitigate Security Risks and Enhance Performance. Journal of Information Systems Engineering and Management. 1373 -1383. ISSN 24684376

Deepika, c and Abirami, K (2025) Systematic Literature Review on VPN Security: Adaptive Multi-Tunnelling as a Mitigation Strategy. Journal of Information Systems Engineering and Management. pp. 760-777. ISSN 24684376

Devendran, Rajkumar and Aneetha, A. S. (2025) Image Classification and Detection of Artificial Images Using CNN Models. In: Communications in Computer and Information Science ((CCIS,volume 2425)). Springer Nature Link, pp. 79-88.

Devi, R and Malini, M (2025) Adaptive Bio Inspired Deep Neural Network based Heart Disease Prediction Model using Propagation Measures. In: Adaptive Bio Inspired Deep Neural Network based Heart Disease Prediction Model using Propagation Measures.

Dharmarajan, K and Abirami, K (2025) EXPLORING DEEP LEARNING TECHNIQUES TO OVERCOME CHALLENGES IN LIVER LESION DETECTION. In: 13th INTERNATIONAL CONFERENCE ON CONTEMPORARY ENGINEERING AND TECHNOLOGY 2025 ACCET-2025). PRINCE SHRI VENKATESHWARA PADMAVATHY ENGINEERING COLLEGE, Chennai. ISBN 978-81-985365-9-4

Dharmarajan, K and Abirami, K and Haripriya, T. (2025) Data Structure Using Python. CHARULATHA PUBLICATION. ISBN 13: 978-93-6260-670-9

Dharmarajan, K and Abirami, K and Haripriya, T. (2025) AN FUTURISTIC ANALYSIS OF FOCAL LIVER HEPATIC TUMORS USING FUSION OPTIMIZATION TECHNIQUES. International Journal of Engineering Technology Research & Management (IJETRM).

Dhivya, R. and Thailambal, G. (2025) Deep Reinforcement Learning for Adaptive Demand Forecasting and Perishable Inventory Optimization in Multi-Echelon Supply Chain. In: 2025 9th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India.

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E., Monika and Kumar, T.Rajesh and F, Benasir Begam and K.S., Janu and A., Jegatheesan and Appavu, Narenthirakumar (2025) Robust Self-Supervised Deep Learning for Real-Time Aerial Object Detection Under Low-Visibility Conditions. In: 2025 5th International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN), Coimbatore, India.

Esakkiammal, S and Kasturi, K (2025) Enhancing Academic Excellence Using a Data-Driven Approach for NIRF Ranking Improvement of Newly Established IITs. In: 2025 International Conference on Automation and Computation (AUTOCOM), Dehradun, India.

Ezhilarasi, P. and Sreekala, T. (2025) An Early Identification of Central Precocious Puberty Using a Contrastive Learning Framework with Time Series Transformers. In: An Early Identification of Central Precocious Puberty Using a Contrastive Learning Framework with Time Series Transformers. (In Press)

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.

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Fathima, M. S and Booba, B. (2025) A Novel Deep Learning Architecture for Irrigation Prediction Using ID-CNN-Bidirectional GRU- Fusion Model. International Journal of Intelligent Engineering and Systems, 18 (5). pp. 310-328. ISSN 21853118

Fathima Rumaiza, SM (2025) Digital Innovations in Education Enhancing Sustainable Development Goals. In: In recent years, the intersection of digital innovation and education has catalyzed transformative changes across global landscapes. Technology has become a cornerstone in achieving Sustainable Development Goals (SDGs) from primary classrooms to advanced. IGI GLOBAL, pp. 75-98.

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.

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G S, Manish and S, Perumal (2025) Cardiotech Next AI Healthcare: Enhanced Arrhythmia Cardio Vascular Disease Prediction using Hyper Capsule LSTM Gated Recurrent Neural Network with Optimal Swarm Intelligence Technique. In: 2025 International Conference on Intelligent Computing and Knowledge Extraction (ICICKE), Bengaluru, India.

Gayathri, B and Vishwa Priya, V (2025) ENHANCED BLOCKCHAIN SECURITY FOR GST BASED ON SHUFFLE CHAIN LINK PROOF AGREEMENT. International Journal of Applied Mathematics, 38 (5s). pp. 725-745. ISSN 1314-8060

Gayathri, B and Vishwa Priya, V (2025) Transforming GST Administration for Efficiency and Transparency by Blockchain. In: 2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Tirunelveli, India.

Gayathri, D. and Raghavendran, V. (2025) Securitizing Patient Records Using Ethereum Smart Contract Graph Embedded Neural. In: Securitizing Patient Records Using Ethereum Smart Contract Graph Embedded Neural. Springer, pp. 683-694.

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Hassan Rehan, Hassan Rehan Systems Engineer ,General Motor, and Vamshi Krishna Venkataswamy,, Vamshi Krishna Venkataswamy, and Pragya Keshap, Pragya Keshap and Milan Parikh, Milan Parikh and P. Anusha, P. Anusha and S.Nithya priya, S.Nithya priya (2025) Adaptive Data Pipelines: A Cloud-Native Approach to Real-Time Analytics and Fault Tolerance. Adaptive Data Pipelines: A Cloud-Native Approach to Real-Time Analytics and Fault Tolerance, 1 (1): 3. pp. 1-7. ISSN 979-8-3315-7472-7

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Indumathi, M. and Parameswari, R (2025) Multivariate Radial Interpolation Based Ruzicka Indexive Censored Regression for Early Prediction of Cardiovascular Disease. In: 2025 IEEE 4th World Conference on Applied Intelligence and Computing (AIC), GB Nagar, Gwalior, India.

Indumathi, M. and Parameswari, R. (2025) Laplace Kernel Adaptive Tuning Optimized Transfer Learning for Cardiovascular Disease Prediction. In: 2025 4th International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India.

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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.

J, Jayashree. and Sreekala, T. (2025) AutoImmune-BiAttnNet: A Novel Hybrid Attention-Enhanced Bi-LSTM Framework for Autoimmune Disease Prediction. In: AutoImmune-BiAttnNet: A Novel Hybrid Attention-Enhanced Bi-LSTM Framework for Autoimmune Disease Prediction.

Janani, S. (2025) IoT-Based Smart Cities and Context-Aware Edge-Based AI Models for Wireless Sensor Networks. International Journal of Scientific Research & Engineering Trends, 3 (3). ISSN 2395-566X

Janani, S. and Sumalatha, V. (2025) Edge-Driven Data Acquisition and Intelligence for Real-Time Energy Management in Smart Grids. In: 2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Tirunelveli, India.

Jayakani, S. and Meenakshi, A. (2025) The role of artificial intelligence in enhancing employee retention and engagement strategies. In: INTERNATIONAL CONFERENCE ON MODELLING STRATEGIES IN MATHEMATICS: ICMSM 2024, 22–23 October 2024, Coimbatore, India.

Jayaprabha, M S and Vishwa Priya, V (2025) Chronic Kidney Disease (CKD) Prediction using AutoDL Classifier Algorithms. In: 2025 5th International Conference on Soft Computing for Security Applications (ICSCSA), Salem, India.

Jayashree, J. and Sreekala, T. (2025) The Current and Future of Machine Learning and Deep Learning in the Treatment of Autoimmune Diseases. In: The Current and Future of Machine Learning and Deep Learning in the Treatment of Autoimmune Diseases.

Jayasri, S. and Parameswari, R. (2025) Implementing SDN Process‐Based MRMC Wireless Networks. In: Resource Management in Advanced Wireless Networks. Wiley, pp. 183-210. ISBN 9781119827603

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

Jency, A and Thirunavukkarasu, K S (2025) Triple-Stream Attention Network (TSAN): A Multi- Phase Deep Learning Framework for Robust Facial Recognition. In: International Conference on Sustainable Communication Networks and Application (ICSCN-2025).

Jency, A. and Thirunavukkarasu, K S (2025) Triple-Stream Attention Network (TSAN): A Multi-Phase Deep Learning Framework for Robust Facial Recognition. In: 2025 International Conference on Sustainable Communication Networks and Application (ICSCN), Theni, India.

Jenifer, V and Kamalakannan, T (2025) Enhanced Hybrid Clustering and BAT-Optimized Deep U-Net for Next-Generation E-Commerce Product Recommendation. In: 2025 International Conference on Sustainable Communication Networks and Application (ICSCN), Theni, India.

Jenifer J, Anciline and K., Piramu Preethika. S. (2025) Deep Learning-Driven SIoT Security: Detecting Anomalies and Community Attacks with SPY IoT Devices. In: 2025 International Conference on Inventive Computation Technologies (ICICT), Kirtipur, Nepal.

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.

Jeyalakshmi, R and Jamuna, R and Muthuchamy, K (2025) AI-Driven Recruitment in the Healthcare Sector: Efficiency or Ethical Risk? In: Digital Disruption In HRM: Tools, Trends & Transformation. New Chennai Publications. ISBN 978-81-984949-8-6

Jeyanthi, P and Durga, R (2025) CLUSTERING AND ENSEMBLE LEARNING FOR ACCURATE PREDICTION OF NUTRITIONAL HEALTH OUTCOMES IN CHILDREN'S FOODS. In: National Article on Mixed Methodology Souvenir 2025. Payanam.

Jeyashree, R and Poongodi, A (2025) Soil Image De-Noising using Hyper Wavelet Double Window Median Filter (HWDWM). In: 2025 5th International Conference on Expert Clouds and Applications (ICOECA), Bengaluru, India.

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.

Jyothilakshmi, K N and Parameswari, R (2025) Pulmonary Disease Detection from Chest x-ray Images using Dragonfly Enhanced Artificial bee Colony Hybrid Optimisation Technique. JOURNAL OF APPLIED BIOANALYSIS, 11 (13s). pp. 197-210. ISSN 2405-710X

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K, Balaji and Priscila, S. Silvia and M, Praveen B (2025) Intelligent Federated Cloud Scheduling with Transfer Learning and Hybrid Reinforcement-Meta-Heuristic Optimization. In: 2025 5th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS), Erode, India.

KUMAR, M P and AKILA, A (2025) ADDRESSING KEY MANAGEMENT AND DATA INTEGRITY IN IIOT BASED HEALTHCARE: A BLOCKCHAIN APPROACH USING FERNET ENCRYPTION AND MERKLE ROOT PROOF OF WORK. Journal of Theoretical and Applied Information Technology, 103 (18). pp. 7706-7716. ISSN 1817-3195

Kabilan, K. and Jebathangam, J. (2025) Air quality prediction with a hybrid CNN-BiLSTM-attention model using multivariate environmental data. In: Recent Trends in Intelligent Computing and Communication: Volume 2. 1st Edition ed. CRC Press. ISBN 9781032972770

Kalaiselvi, K. and Sujarani, Pulla and Jayalakshmi, S. (2025) A Novel Method of Chronic Kidney Disease Detection Based on Deep Learning Technique. In: 2025 11th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India.

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.

Kalpana, Y. and Anitha, R (2025) New RFM+WL Model for Effective Customer Segmentation using Machine Learning. Journal, June. pp. 1-7. ISSN 2395-5287

Kamalakannan, T and Parameswari, K. (2025) Optimized bidirectional gated recurrent unit-convolutional neural network for enhanced social network security. Journal of Data, Information and Management, 7 (4). pp. 301-314. ISSN 2524-6356

Kamatchy, B and Kalaichelvi, N (2025) A Robust Ensemble Deep Learning Framework for Detecting Deepfake Audio Using Mel-Spectrograms. In: NextGen Computing and Future Technologies(NCNCFT'25).

Kamatchy, B and Kalaichelvi, N (2025) A Unified Framework Approach for Automated Vulnerability Assessment. In: NextGen Computing and Future Technologies.

202541117100 (2025) ADAPTIVE AL FRAMEWORK FOR REAL-TIME CYBERSECURITY THREAT PREDICTION AND MITIGATION. 202541117100.

Kamutam, Ashwini and Phani Krishna, Hari and Venkata Seshaiah, Banka and Mashrapova, Irodakhon and Dandu, Madhavi Latha and Raghavendran, V. (2025) MIBE RoBERTa FF BiLSTM: A Hybrid Deep Learning Framework for Sentiment Analysis of Video Danmakus. In: Proceedings of the 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things.

Kannadhasan, S. and Nagarajan, R. and Kamalakannan, T and Chandrasekaran, M. and Shanmugasundaram, N (2025) Sensor Imaging Systems for Real-Time Applications: Intelligent Solutions for Diverse Sectors. Apple Academic Press, New York. ISBN 9781003610373

Kiruthiga, C. and Dharmarajan, K (2025) Clustering Algorithms for Queries: A Comparative Analysis of ‎Farmer Call Center Data. International Journal of Basic and Applied Sciences, 14 (SI-1). pp. 529-537. ISSN 2227-5053

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

Kokiladevi, S and Muthuchamy, K and Senthamiz Selvi, S (2025) Cyber security Awareness and HR’s Role in Employee Training. In: Digital Disruption in HRM: Tools, Trends, and Transformation. New Chennai Publications.

Kondireddy Muni Sankar, k and Booba, B. (2025) A Hybrid Machine Learning Framework for Soil Classification in Smart Agriculture. In: Proceedings of International Conference on Multidisciplinary Research and Innovations (ICMRI - 2025).

Krithika, D R (2025) Smart Event Management System Using Machine Learning for Optimized Scheduling and Participant Behavior Tracking. Smart Event Management System Using Machine Learning for Optimized Scheduling and Participant Behavior Tracking. ISSN Electronic ISBN:979-8-3315-9709-2

Krithika, D. R. (2025) Survey of Privacy Preservation Techniques in Blockchain. Survey of Privacy Preservation Techniques in Blockchain. ISSN Electronic ISBN:979-8-3315-5386-9

Kumaresan, Marappan (2025) Drones and Remote Sensing in Landscape Planning and Maintenance. In: Smart Agriculture: Harnessing Technology for Sustainable Growth. Emerald Publishing House.

Kuppan, P. and Vishwa Priya, V (2025) On-Demand Forecasting-Based Crop Yield Prediction and ‎Recommendation Using Deep Ensemble Swarm Intelligence ‎with Multi-Perceptron Neural Network. International Journal of Basic and Applied Sciences, 14 (SI-1). pp. 538-584. ISSN 2227-5053

krithika.D.R, D R (2025) Financial Service Recommendation Based on Cognitive Machine Learning Model with NLP. Financial Service Recommendation Based on Cognitive Machine Learning Model with NLP. ISSN Electronic ISBN:979-8-3315-9709-2

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Lakshmi, T. S. and Jayamangala, Hariharan (2025) A Survey – High Secured Data Transmission in Cloud Computing using Homomorphic Encryption. In: 2025 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India.

Lakshmi, T.S. and Jayamangala, Hariharan (2025) Hierarchical squeeze forward fractional net-based multi-party data sharing algorithm using hierarchical homomorphic encryption in blockchain. International Journal of Advanced Mechatronic Systems, 12 (1). pp. 60-73. ISSN 1756-8412

Lakshmi, TS and Jayamangala, Hariharan (2025) MFSA: Migration flamingo search algorithm based trust aware multi-party data sharing in blockchain using hierarchical homomorphic encryption. Intelligent Decision Technologies, 19 (3). pp. 1380-1399. ISSN 1872-4981

Lavanya, N. and Nagasundaram, S. (2025) Brain tumor classification using Hybrid RF+ DenseNet121. In: 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI), Chennai, India.

Lavanya suja, T and Booba, B. (2025) A Metaheuristic Approach on Virtual Machine Allocation Using Backtracking and Simulated Annealing in Cloud Computing. In: Congress on Smart Computing Technologies (CSCT 2024). 1 ed. Springer, Singapore, Singapore. ISBN 978-981-96-6253-1

Laxman, B and Mahipal Reddy, M and Saranya, G and Arun Prakash, K and Sakthivel, P and Devi, R (2025) AI Powered Biometric Authentication: A Deep Learning Approach to Secure Identity Verification. In: 2025 2nd International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT), Warangal, India.

Leema Raina, F. and Vedhapriya, M. and Sujarani, P. and Anitha, R (2025) Data Mining. ONE TO ONE PUBLICATIONS. ISBN 978-81-989-895-2-9

Legapriyadharshini, N. and Nanthini, S. and Parameswari, R. and Kalarani, P. and Vijayalakshmi, R. and Rajasekar, M. (2025) Predictive Maintenance in Smart Systems with Temporal Convolutional Networks (TCN) and Autoencoders: Algorithm Optimization, Intelligent Systems, Blockchain, Cryptography and Cybersecurity. Mathematical Methods in Artificial Intelligence: Algorithm Optimization, Intelligent Systems, Blockchain, Cryptography and Cybersecurity. pp. 49-62.

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M, Gomathy and Vidhya, A. (2025) Unmasking Malware with MDCNN: A New Era of Image-Based Detection. In: 2025 International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI), Erode, India.

Malini, M and Devi, R (2025) Comparison of the Effectiveness of Different Optimizers with Deep Learning Algorithms for the Prediction of Heart Disease. In: 2025 International Conference on Modern Sustainable Systems (CMSS), Shah Alam, Malaysia.

Mangayarkarasi, S. and Revathi, S (2025) DEEP LEARNING–BASED ENERGY OPTIMIZATION IN INDUSTRIAL IOT: A COMPARATIVE STUDY. In: DATA TO INTELLIGENCE: ROLE OF GENERATIVE AI IN SHAPING THE FUTURE (DIGISF’26), CHENNAI. (In Press)

Manikandan, N. and Gnanaguru, Gnaneswari and Viswapriya, V. and Priscila, S. Silvia and Christodoss, Prasanna Ranjith and Saranya, S. (2025) BERT-Based Deep Learning Models for Analyzing Sentiments of COVID-19-Related Social Media Tweets:. In: BERT-Based Deep Learning Models for Analyzing Sentiments of COVID-19-Related Social Media Tweets. IGI Global Scientific Publishing, pp. 21-36.

Manish, G S and Perumal, S (2025) A Comprehensive Analysis of Machine Learning Methods for Predicting Heart Disease. In: 2025 International Conference on Networks and Cryptology (NETCRYPT), New Delhi, India.

Martis, Joy Elvine and Bundela, Beena and Ganesa Murthy, A and S, Sangeetha and J, Yogapriya and Babu, T.Harish (2025) Topic Modeling and Transformer Sentiment Analysis of English National Anthems. In: 2025 3rd International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT), Faridabad, India.

Maruthi, R. and Sankar, P. and Bagyalakshmi, C. and Narayani., D. (2025) Generic AI: Foundations and Applications. Clever Fox Publishing. ISBN 978-9367076355

Meenakshi, S and Arunachalam, A S (2025) AECNN: A Dual-Stage Deep Learning Framework for Accurate and Efficient Ultrasound-Based Breast Cancer Detection. In: 2025 2nd International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), Chennai, India.

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.

Muthuchamy, K and Piramu Preethika, S K (2025) COMPARATIVE ANALYSIS OF COLORECTAL CANCER BASED ON MACHINE LEARNING ALGORITHMS. In: 4th International Conference on Enhanced Techniques in Real-Time Applications (ICETRA25).

Muthuchamy, K and Preethika, S K. Piramu (2025) Deep Learning in Oncology: Improving Early Cancer Detection with UNet, EfficientNet, and DenseNet. In: 2025 9th International Conference on Inventive Systems and Control (ICISC), Coimbatore, India.

Muthuchamy, K and Usman Mohideen, K S and Kotteswaran, M (2025) AI-Enabled Succession Planning in Large Enterprises. In: Digital Disruption In HRM: Tools, Trends & Transformation. New Chennai Publications.

Mythili, R. and Aneetha, A.S. (2025) Deep Learning Algorithms for Detecting Network Attacks—An Overview. In: Next‐Generation Systems and Secure Computing. Wiley, pp. 293-323. ISBN 9781394228522

N

Nagavali, Saka and Munjeti, Sowjanya and Thirumalaikumari, T. and Vangili, S (2025) Deep Learning. Book Bytes International Publications. ISBN 978-93-49129-74-0

Nair, Sreena G. and K, Rohini (2025) Smart Cybersecurity: Enhanced Steganography with Hyperactive Crypto-Feature Engineering. In: 2025 3rd International Conference on Data Science and Information System (ICDSIS), Hassan, India.

Nalini, K.S. and Arunachalam, A S (2025) Diabetic Retinopathy Prediction from Retinal Fundus Images using a Conditional Self-Attention GAN. In: 2025 7th International Conference on Innovative Data Communication Technologies and Application (ICIDCA), Coimbatore, India.

Nanthini, R and Kumutha, K. (2025) Credit Card Security with Generative Adversarial Networks: A Personalized Fraud Detection Framework. In: 2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Tirunelveli, India.

Naresh, A. S. and Ramkumar, J. and Janani, S. (2025) AI Chatbot Application using API Integration. International Journal of Advanced Research in Education and TechnologY(IJARETY), 12 (3).

Nathiya, R. and Preethika, S.K. Piramu (2025) Implementation of Octavia's OpenStack for futuristic cloud computing by optimisation of resources and traffics. International Journal of System of Systems Engineering, 15 (5). pp. 488-508. ISSN 1748-0671

Naveen, P. V. and Poongodi, A. (2025) Improved Security Using Traceable Ciphertext Policy Attribute-Based Encryption in Mobile Cloud Computing:. In: Pioneering AI and Data Technologies for Next-Gen Security, IoT, and Smart Ecosystems. IGI Global Scientific Publishing, pp. 1-24.

Nisha Dayana, T R and Poongody, S (2025) Smart Chat Guardian. International Journal of Multidisciplinary Research in Science, Engineering and Technology, 8 (5). pp. 8878-8880.

P

P, Dinesh and G, Thailambal (2025) Innovative Human Interaction System to Predict College Student Emotions Using the Extended MASK-R-CNN Algorithm. EAI Endorsed Transactions on Internet of Things, 11. ISSN 2414-1399

P, Kumar M and A, Akila (2025) Blockchain Based on Encryption Scheme for Internet of Things Environment. In: 2025 International Conference on Intelligent Communication Networks and Computational Techniques (ICICNCT), Bidar, India.

P, Kumar. M and A, Akila. (2025) Privacy-Preserving Elliptic-Curve with Proxy ReEncryption Scheme and ABAC for Smart-Contractbased Healthcare. In: 2025 5th International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkur, India.

P, Rajarajan and Sahaai, Madona B. (2025) Enhancing Robustness of OFDM Systems Using LSTM‐Based Autoencoders. International Journal of Communication Systems, 38 (9). ISSN 1074-5351

Parameswaran, Sreelakshmi Kakkat and Parameswari, R (2025) Regularization Proximity Censored Regressive Deep Reinforcement Learning for IoT aware Plant Disease Prediction. In: 2025 6th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

Parameswari, K. and Kamalakannan, T (2025) A BERT-Driven Optimized Deep Belief Network for Topic Mining and Security Analysis on Social Media. SN Computer Science, 6 (7). ISSN 2661-8907

Parikh, Milan and Ramavath, Shiva Kumar and Prathi, S and Sheela, K. and Handaragal, Ramachandra and Nathiya, R. (2025) Deep Learning for Automated Defect Detection in Industrial Manufacturing. In: 2025 6th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

Parthasarathy, G. and Suresh, B. (2025) Human Activity Recognition Using Advanced Deep Learning Approaches. International Journal of Advanced Research in Education and TechnologY(IJARETY), 12 (3).

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

Prasanth, A. and Sharma, Vandana and Dhanaraj, Rajesh Kumar and Raj, Pethuru and Hemamalini, U. (2025) Modeling and Simulation for Digital Twins of Blockchain Technology. In: Blockchain-Based Digital Twins: Research Trends and ChallengeS. Apple Academic Press, New York. ISBN 9781003569046

Praveena, A. and Kalpana, Y (2025) Revolutionizing Alzheimer's Detection: Hybrid Deep Learning Models in Experimental Analysis and Insights. In: 2025 8th International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India.

Premkumar, T. and Krithika, D. R. (2025) Investigating the Use of Differential Security Approaches for Safeguarding Complex Information in Blockchain-Based Frameworks. In: 2024 Real-Time Intelligent Systems. Springer, pp. 303-317.

Priyadharshini, G. and Durga, R. (2025) Smart Intelligence Powered Cyber-Attack Detection in Financial Sector Transactions using Enhanced Proactive Block Chain Security. In: 2025 5th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS), Erode, India.

Priyah, R and Kamalakkannan, S (2025) Hybrid contrast-limited adaptive histogram equalization and Deep Learning techniques for improving liver tumor detection. Future Technology, 4 (3). pp. 67-75. ISSN 28320379

R

R, Ramya and Jebathangam, J. (2025) An Effective Object Detection Model to Detect Floating Macroplastic Debris on the Waterways Using YOLO. In: 2025 International Conference on Inventive Computation Technologies (ICICT), Kirtipur, Nepal.

R, Selvam and R, Mahalakshmi (2025) Robust Epileptic Seizure Recognition using Dimensionality Reduction with Deep Learning on EEG Signals. International Journal of Electronics and Communication Engineering, 12 (4). pp. 8-18. ISSN 23488549

R, Suresh and Nisha Dayana, T R (2025) Block-Chain Based Multi-Layer Encryption Method for the Secure Storage of Healthcare Data in Cloud Environments. International Journal of Engineering Trends and Technology, 73 (5). pp. 161-172. ISSN 22315381

R, Vasumathi and Vidhya, A. (2025) Skill Gap Analysis Through Time Series Forecasting: A Literature Survey on LSTM and Related Models. In: 2025 International Conference on Data Science and Business Systems (ICDSBS), Chennai, India.

Radhika, P. and Kamalakkannan, S (2025) Deep Learning Model with Optimization Strategies for DDoS Attack Detection in Cloud Computing. In: 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India.

Ragu, B and Perumal, S (2025) A Novel Framework for Human Chronic Disease Prediction Using CNN and Adaptive Dragon Fly Optimization (ADFO) Algorithm. SN Computer Science, 6 (4). ISSN 2661-8907

Ragu, B. and Perumal, S (2025) A Comprehensive Review of Human Disease Prediction Models using Machine Learning and Data Analytics. In: 2025 8th International Conference on Computing Methodologies and Communication (ICCMC), 23-25 July 2025, Erode, India.

Ragul, R and Perumal, S (2025) Federated Multimodal Contrastive-Learning Transformer with Calibrated Risk Scoring for CHD. Innovations & Trends in Advanced Engineering Technologies, 1 (01). pp. 976-984.

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

Raji Reddy, Avala and Radhika, B and Praveen Kumar, B and Nagesh, D and Dineshkumar, Pandurangan and Padma, R. (2025) An Automated Speed Violation Monitoring System for Enhanced Traffic Laws using YOLOv9 and DeepSORT. In: 2025 IEEE 7th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA). (In Press)

Rama Gangi Reddy, K and Thirunavukkarasu, K S (2025) Multi-Agent Edge-Fog Intelligence With Explainable Vision Transformers For Sweet Lemon Crop Disease Analytics. International Journal of Engineering Development and Research.

Rama Gangi Reddy, K and Thirunavukkarasu, K S and Hima Sekhar, K. (2025) Edge AI and CNN for Real-Time Plant Disease Detection using IOT. INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH OF SCIENCE ENGINEERING AND TECHNOLOGY, 18 (1).

Ramalakshmi, Satyanarayana and Sathyapriya, Selvaraj and Senthil, Renganathan and Anand, Thirunavukarasou and Saravanan, Konda Mani (2025) Integrating Deep Learning and Molecular Dynamics to Identify GPR17 Ligands for Glioblastoma Therapy. Current Chemical Biology, 19 (1): 9916. pp. 38-49. ISSN 22127968

Ramasamy, G. and Kamalakkannan, S (2025) Enhancement of Containerization-based Cloud Computing Performance using Hybrid Metaheuristic Optimization Algorithm: A Review. In: 2025 International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India.

Ramesh, L. and Paramaguru, S. and Janani, S. and Arivazhagan, P. (2025) Big Data Analytics: Tools, Techniques and Applications. SKRGC Publication, Madurai. ISBN 978-93-6492-392-7

Ramesh, L. and Suresh, R. and Gopinathan, S and Suresh, B. (2025) Data Structure and Algorithms. SKRGC Publication. ISBN 978-93-6492-474-0

Ramya, M and Kamalakannan, T (2025) Adaptive Transfer-Based Fog Load Balancing Using Transfer Learning for Fault-Tolerant Cloud Systems. In: 2025 IEEE DELCON - International Conference on Recent Smart Technologies in Engineering for Sustainable Development, New Delhi, India.

Ramya, V. and Thirunavukkarasu, K S (2025) Prediction of Covid and Covid-19 and Omicron data with ESPRINT, ERF, CSDLM and HMC-19HRP Models. In: 2025 Fifth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India.

Rani, S. and Jeyalakshmi, S. and Nagarajan, Srideivanai and Sudha, S. and Sakthivanitha, M. and Narayani, D. (2025) A Study on the Deep Learning Models for Lung Disease Detection from Chest X-Ray Images. In: 2025 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI), Coimbatore, India.

Rao, A Purnachandra and Ali Samhan, Ahmad Abdelhafiz and D, Pradeep Kumar and Kiran, M Sreerama and Dharmarajan, K and Yakaiah, P (2025) Embedded Cost-Effective VLSI Structures with Low-Power Scheduling and Spiking Convolutional Neural Network Inference. In: 2025 2nd International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), Chennai, India.

Reashma, SRK.Juhi and Sakthivanitha, M. and Kavitha, G. and Vishwa Priya, V and Gayathri, b and Ranjith, D. (2025) Masked Contrastive Pre-Training for Few-Shot Medical Image Classification. In: Remote Patient Monitoring System with Wearable IoT Devices and Biosensors for Vital Signs.

Rebekkal, R. and Sheela, K. (2025) Agricultural crop productivity data analysis with higher chemical usage with district classification. INTERNATIONAL JOURNAL OF ADVANCE RESEARCH IN MULTIDISCIPLINARY, 3 (2). ISSN 2583-9667

Reddy, D. Ramesh and Praveenraj, D. David Winster and Chandramowleeswaran, G. and Karnan, C. and Vallikkannu, M. and Ganesa Murthy, A (2025) IoT Behavioural Analytics for Retail Engagement. International Academic Journal of Science and Engineering, 12 (4). pp. 166-175. ISSN 24543896

Reddy, K. Rama Gangi and Thirunavukkarasu, K S (2025) The Convolutional Neural Networks Model of Algorithm Is Used to Identify Diseases in the Leaves of Sweet Lemon Plants-A Comprehensive Review. In: Sustainable Development Goals Series ((SDGS)). Springer Nature Link, pp. 39-47.

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.

Revathi, S and Mangayarkarasi, S. (2025) A Comprehensive Deep Learning Framework for Smart Home Appliance Load Monitoring and Energy Optimization. In: 7TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SMART ENVIRONMENTS, 06/11/2025 TO 08/11/2025, Hammamet,Tunisia. (In Press)

Revathi, S and Mangayarkarasi, S. (2025) Integrating IoT with Deep Learning for Smart Home, Healthcare, and Industrial Automation. In: GLOBAL DIMENSIONS OF MULTIDISCIPLINARY RESEARCH AND INNOVATION: SCIENCE & HUMANITIES. FIRST ed. MERIMAX INTERNATIONAL PUBLICATIONS, pp. 283-287. ISBN 978-81-995443-1-4

Revathi, S. and Mangayarkarasi, S. (2025) Deep Learning-Driven IoT Framework for Smart Home Appliance Load Monitoring and Energy Optimization. In: 2025 5th International Conference on Expert Clouds and Applications (ICOECA), Bengaluru, India.

Ridhanya, N. and Sheela, K. (2025) Fake food product detection using blockchain technology. INTERNATIONAL JOURNAL OF ADVANCE RESEARCH IN MULTIDISCIPLINARY, 3 (2). ISSN 2583-9667

Rohith Bhat, C. and Kodeeswari, K. and Narmatha, P. and Archana Jenis, R. and Harishchander, Anandaram and Narayani., D. (2025) Light Weight CNN Model for Accurate and Efficient Skin Cancer Classification. In: Proceedings of the 6th International Conference on Smart Electronics and Communication (ICOSEC-2025).

Rukmani Devi, S and Selvaraju, P. and Akila, A and Sasikala, P and Selvi, E and Rajasekar, M (2025) Exploring AI for Smart Homes: Combining Capsule Networks and Bayesian Neural Networks for Enhanced Efficiency. Mathematical Methods in Artificial Intelligence: Intelligent Systems. pp. 215-226.

Rukmani Devi, S. and Selvaraju, P. and Padma, R. and Balamurugan, A. G. and Pandiarajan, T. and Rajasekar, M. (2025) Data Science Applications Using Extreme Gradient Boosting (XGBoost) and Random Forest for Predictive Analytics in Financial Sectors: Algorithm Optimization, Intelligent Systems, Blockchain, Cryptography and Cybersecurity. Mathematical Methods in Artificial Intelligence. pp. 223-234.

Rukmani Devi, S. and Selvaraju, P. and Padma., R. and Shaji, Alan and Sasikala, P. and Rajasekar, M. (2025) Deep Learning with Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN) for AI-Driven Smart Home Automation. In: Mathematical Methods in Artificial Intelligence. De Gruyter, pp. 153-164. ISBN 9783112234969

S

S, Esakkiammal and Kasturi, K. (2025) Unlocking Scholarly Insights Using Deep Learning-Based Evaluation Method for Research Impact Assessment in Academic Institutions. In: 2025 International Conference on Automation and Computation (AUTOCOM), Dehradun, India.

S, Senthilvel and G, Thailambal (2025) The Ai advantage: capturing trends and Unravelling patterns in a data Direction World. CLEI Electronic Journal, 28 (6). ISSN 0717-5000

S.Nithya priya Research Scholar, S.Nithya priya and L.Ramesh Assistant professor, L.Ramesh (2025) An Innovative Hybrid Feature Extraction Method for the Diagnosis of Coconut Leaf Diseases. An Innovative Hybrid Feature Extraction Method for the Diagnosis of Coconut Leaf Diseases, 1 (1): 1. pp. 1-5. ISSN 979-8-3315-1223-1

SATHYA, R and Thirunavukkarasu, K S (2025) Enhanced weed and crop species classification using optimized machine learning and ensemble techniques. INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS.

Sabreen, N. and Ramya, N. and Suresh, B. (2025) AI-Based Healthcare Diagnosis System. International Journal of Advanced Research in Education and TechnologY(IJARETY), 12 (3). ISSN 2394-2975

Sampath, S. and Suresh, B. (2025) Parkinson Disease Prediction using Handwritten Spiral and Wave Pattern. IJMRSET, 8 (5). 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

Santhosh, M and Mangayarkarasi, S. (2025) A Smart IoT-Based Semantic Model for Sustainable Dairy Farming Enhancement using Solo Track Algorithm. International Journal of Environmental Sciences. pp. 2798-2807. ISSN 2229-7359

Sekar, Suganthi and Sree Kala, T (2025) Privacy Preserved Data Sharing With SpinalNet Based Key Generation in Consortium Blockchain. Web Intelligence, 23 (3). pp. 395-415. ISSN 2405-6456

Selvadurai, M. and Perumal, S (2025) Pre-Processing Irrelevant Information from Melanoma Infected Human Skin Images using Image Processing Techniques. In: 2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Tirunelveli, India.

Selvam, M. and Angel Cerli, A. (2025) Smart health predictions: Using deep learning to assess disease risk through personal and environmental data. INTERNATIONAL JOURNAL OF ADVANCE RESEARCH IN MULTIDISCIPLINARY, 3 (2). ISSN 2583-9667

Selvam, R P and Devi, R (2025) A COMPARATIVE STRATIFICATION OF FISH SPECIES USING TRANSFER LEARNING ON PRE-TRAINED DEEP LEARNING NETWORKS JUXTAPOSED WITH SHUFFLERES – A HYBRID DEEP NETWORK CLASSIFIER. Archives for Technical Sciences.

Selvam, R. and Mahalakshmi, R. (2025) Integrating Lemurs Optimizer with Ensemble Learning Based Epileptic Seizure Recognition Using EEG Signals. In: 2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.

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

Senthilkumar, Sangamithra and Mothilal Nehru, G and Anbarasi, C. and Jayashree, S. and Vishwa Priya, V and Jebathangam, J and Yogeshwari, M and Divya Sterlin, D (2025) Advanced Deep Learning Techniques for Accurate Prediction of Heart Diseases Using Electrocardiogram Signal Analysis. Journal of Information Systems Engineering and Management, 10 (25s). pp. 288-323. ISSN 2468-4376

Senthilvel, S. and Thailambal, G. (2025) Intensified Image Retrivel System :Non-Linear Mutation Based Genetic Algorithm. International Journal of Computational and Experimental Science and Engineering, 11 (1). ISSN 2149-9144

Shakila, C and Kamalakannan, T (2025) Deep Hybrid Meta-Heuristic Model for Real-Time Facial Emotion Analysis. In: 2025 4th International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India.

Shalinigayathri, D. and Arunachalam, A S (2025) A Novel Relevance Feedback Prediction Method (RFPM) for Predicting and Forecasting the Optimised OHLC Stock Price. In: Congress on Smart Computing Technologies. Springer, pp. 113-128.

Sheena, A D and Divya Sterlin, D and Sindhuja, K and Kuppan, P and Vishwa Priya, V and Sangeetha, Radhakrishnan and Padma Priya, D and Yogeshwari, M (2025) Deep Learning-Based OSIS-NET Framework for Accurate Detection and Classification of Osteoporosis Using MRI Imaging and Advanced Machine Learning Techniques. Journal of Information Systems Engineering and Management, 10 (27s). pp. 628-637. ISSN 2468-4376

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

Siji, K. B. and Sheela, K. (2025) A LITERATURE REVIEW ON ADAPTIVE LEARNING AND ASSESSMENT WITH EXPLAINABLE AI A LITERATURE REVIEW ON ADAPTIVE LEARNING AND ASSESSMENT WITH EXPLAINABLE AI. In: INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTATIONAL TECHNOLOGIES AND SUSTAINABLE DEVELOPMENT GOALS (ICRTCTS - 2025).

Siva, R and Durga, R. (2025) Enhanced Web Applications in Network Security. In: National Article on Mixed Methodology Souvenir 2025. Payanam.

Siva, V R and Durga, R (2025) WEB APPLICATION SECURITY: METHODS TECHNOLOGIES, AND RESEARCH INSIGHTS. In: National Article on Mixed Methodology Souvenir 2025. Payanam. ISBN 978-93-47021-37-4

Sivanathbabu, R. and Kamalakkannan, S (2025) Optimized DenseNet Model for Heart Disease Prediction from Medical Health Records. In: 2025 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), Erode, India.

Sreekala, T. and Suganthi, S (2025) A HYBRID AGRICULTURE OF BLOCKCHAIN AND DIGITAL TWIN TECHNOLOGIES FOR FOOD SECURITY. In: 16 INTERNATIONAL CONFERENCE ON SCIENCE AND INNOVATIVE ENGINEERING. Prince Dr. K. Vasudevan College of Engineering and Technology. ISBN 978-81-983498-5-9 (Submitted)

Sudha, D. and Sujatha, P (2025) Gestational Diabetes Mellitus Prediction Using Machine Learning Algorithms. In: Proceedings of 4th International Conference on Mathematical Modeling and Computational Science. Springer, pp. 236-244.

Sudha, S. and Sakthivanitha, M. and Angel Cerli, A. and Maheswari, M. Vijaya and Sirajudeen, Mohamed and Selvi, S. Arockiya (2025) Transformer-based Protein Structure Prediction from Sparse Experimental Constraints. In: 2025 6th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

Suganthi, V. and Jebathangam, J. (2025) Enhancing Credit Card Fraud Detection With Sbpmc-Oa Based Feature Optimization. In: 2025 International Conference on Inventive Computation Technologies (ICICT), Kirtipur, Nepal.

Suganya, R.V and Senthil Kumar, A.V. (2025) Role of Artificial Intelligence in Quality Assessment, Monitoring, and Implementation of Stringent Measures of Industrial Wastewater. In: Recent Trends in Industrial Wastewater Treatment. CRC Press, London, pp. 239-261. ISBN 9781003496014

Sujarani, Pulla and Sujatha, P (2025) Cancer Blood Disorder Detection in Blood Smear Images using ResNet50 based Deep Learning Model. In: 2025 7th International Conference on Intelligent Sustainable Systems (ICISS), India.

Sujarani, Pulla and Sujatha, P. and Kalaiselvi, K. (2025) An Efficient Deep Learning Framework for Automatic Identification of Pediatric Cancer Blood Disorder. In: 2025 11th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India.

Sujatha, K. and Bhavani, N.P.G and Ponmagal, R.S. and Shanmugasundaram, N and Tamilselvi, C. and Ganesan, A and Suqun, Cao and UNSPECIFIED1 (2025) AI‐Assisted Environmental Parameter Monitoring of Plants in Greenhouse Farming. In: AI-Assisted Environmental Parameter Monitoring of Plants in Greenhouse Farming.

Sukhavasi, Vidyullatha and Kulkarni, Shridhar and Raghavendran, V. and C., Dastagiraiah and Apat, Shraban Kumar and Reddy, Pundru Chandra Shaker (2025) Malignancy Detection in Lung and Colon Histopathology Images by Transfer Learning with Class Selective Image Processing. Recent Advances in Computer Science and Communications, 18 (4). ISSN 26662558

C.Anbarasi (2025) SWINSHIFT-CD: TRACKING TERRESTRIAL TRANSFORMATION WITH SHIFTED WINDOWS. 202541088806.

Suresh, R. and Nisha Dayana, T R (2025) Optimized Hybrid Cryptographic Technique Using Symmetric and Asymmetric Encryption for Cloud Computing. In: 2025 Fifth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India.

T

Thailambal, Rajagopalan and M. Vidhyasree, M. (2025) Classification model based prediction of kidney diseases using neural network algorithm. Classification model based prediction of kidney diseases using neural network algorithm.

U

Uma, P and Perumal, S (2025) Ai-Driven Dense Neural Network and IOMT for Hydrocephalus Diagnosis and Management in Healthcare. In: 2025 International Conference on Networks and Cryptology (NETCRYPT), New Delhi, India.

Uma, P and Perumal, S (2025) Hydrocephalus Classification From MRI Using Learning Vector Quantization-Based Factorization Machine Deep Learning. In: 2025 International Conference on Automation and Computation (AUTOCOM), Dehradun, India.

V

V. Poornima, V and K. Hazeena, K and H. J. Shanthi, H.J (2025) Demystifying IoT Understanding the Fundamentals of Internet of Things Technologies. Imaginex Inks Publication, Chennai. ISBN 978-81-992034-0-2

Vaseegari, V. and Sheela, K. (2025) Flood Alert Detection System using IoT. IJMRSET, 8 (5).

Venkata Reddy, V. and Sheela, K. (2025) AI Browser Automation Using Gemini API and Web UI. INTERNATIONAL JOURNAL OF ADVANCE RESEARCH IN MULTIDISCIPLINARY, 3 (2). ISSN 2583-9667

Vidhya, A and Meenakshi, C. (2025) Blockchain-Enabled Secure Data Aggregation Routing (BSDAR) Protocol for IoT-Integrated Next-Generation Sensor Networks for Enhanced Security. International Journal of Computational and Experimental Science and Engineering, 11 (1): 1. pp. 1-8. ISSN 2149-9144

Vinothini, A and Parameswari, R (2025) A novel approach for data encryption and decryption using feal algorithm in healthcare environment. A novel approach for data encryption and decryption using feal algorithm in healthcare environment.

Vinudevi, G. and Vijayaragavan, S. P. and Sasikala, K. (2025) Optimized Deep Belief Network for Colorectal Cancer Detection Using Hybrid PIO-DE Algorithm. In: Artificial Intelligence Based Smart and Secured Applications. Springer, pp. 104-117.

Vishwa Priya, V and Pande, Soumitra S. and Ilyas, Md and Jayasudha, R. and Ramesh, Janjhyam Venkata Naga and Suganthi, D (2025) Deep Learning and IoT Based Robotics to Monitor the Traffic. In: Communications in Computer and Information Science ((CCIS,volume 2195). Springer Nature Link, pp. 125-139.

Vishwa Priya, V and Pavithra, R (2025) Scam alert in job post scheduling with automated Ai prediction and elimination. INTERNATIONAL JOURNAL OF ADVANCE RESEARCH IN MULTIDISCIPLINARY, 3 (2). pp. 234-240. ISSN 2583-9667

W

Wessly, J and Durga, R (2025) NEXT-GEN RIDE-SHARING: DECENTRALIZED CARPOOLING WITH CONSORTIUM BLOCKCHAIN. In: National Article on Mixed Methodology Souvenir 2025. Payanam. ISBN 978-93-47021-37-4