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.

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

Angel Cerli1, A. and Sharuk, V. (2025) Web-Based Application Designed to Detect and Classify Scam Emails, Malicious URL. IJMRSET, 8 (6).

Angel Cerli1, A. and Yahkoobali, - (2025) Agri seeds. IJIRSET, 14 (6).

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.

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.

Asirvatham, Anisha and Meenakshi, C. (2025) The Impact of SMS Phishing using Machine Learning Classifiers with Innovative Techniques. Procedia Computer Science, 260. pp. 608-615. ISSN 18770509

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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B, Samuel and K, Kasturi (2025) A novel secure privacy-preserving data sharing model with deep-based key generation on the blockchain network in the cloud. Computer Standards & Interfaces, 92. p. 103932. ISSN 09205489

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, - (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. 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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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, 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.

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.

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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.

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

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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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.

Girija, M and Divya, V (2025) An Intelligent Driving Recommendation System Integrating Temporal Convolutional Networks and Fuzzy Logic for Real-Time Traffic and Weather Optimization. International Journal of Engineering Trends and Technology, 73 (6). ISSN 22315381

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Ilyas, F. Mohamed and Priscila, S. Silvia and Poornima, V. and Christodoss, Prasanna Ranjith and Hanirex, D. Kerana and Elayaraja, C. and Sakthivanitha, M. and Christus, A. T. Ashmi (2025) A Study on the Clustering Techniques and Performance Evaluation:. In: Machine Learning, Predictive Analytics, and Optimization in Complex Systems. IGI Global, pp. 23-40. ISBN 9798337352053

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J, Ramya and A, Poongodi (2025) Lung Cancer Analysis and Classification Using Enhanced Efficient Net V3. In: 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), Goathgaun, Nepal.

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.

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

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

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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.

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.

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.

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

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

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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.

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

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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.

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.

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

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.

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

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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.

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).

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.

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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, 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

P, Uma and S, Perumal (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.

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

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.

Priya, S. Nithya and Ramesh, L. (2025) An Innovative Hybrid Feature Extraction Method for the Diagnosis of Coconut Leaf Diseases. In: 2025 International Conference on Inventive Computation Technologies (ICICT), Kirtipur, Nepal.

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

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R, Nanthini 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.

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

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

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. (2025) Deep Learning with Augmentation for Accurate Coconut Leaf Disease Classification in Scenarios with Limited Data. 9th International Conference on Inventive Communication and Computational Technologies (ICICCT 2025): 11903.

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, B. and Kalaichelvi, N. and Gopinathan, S. (2025) R Programming. SKRGC Publication. ISBN 978-93-6492-171-8

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, R.K. and Meenakshi, C. (2025) An Adaptive Multi-Stage Ensemble Learning Approach for Accurate Diagnosis of Tomato Leaf Diseases. In: 2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.

Ramya, V. and Thirunavakkarasu, 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. Vennila Fatima and Jeyalakshmi, S. and Srideivanai, Nagarajan 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: Proceedings of the 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI-2025).

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, 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.

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).

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S, Arockiya Selvi 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.

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.

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 Cerli1, A. (2025) Resume parser using natural language processing and machine learning. INTERNATIONAL JOURNAL OF ADVANCE RESEARCH IN MULTIDISCIPLINARY, 3 (2). ISSN 2583-9667

Sathya, S. and Anandha Lakshmi, R. and Bagavathi Lakshmi, R. and Vishwa Priya, V and Narayani., D and Anandakrishnan, N. (2025) Federated Learning for Early Detection of Diabetic Retinopathy in Distributed Healthcare Systems. In: Proceedings of the 6th International Conference on Smart Electronics and Communication (ICOSEC-2025).

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 S, Perumal. (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. 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.

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

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 (pp.113-128). 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

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).

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.

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 Cerli1, 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.

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