Personalized Content Extraction and Text Classification Using Effective Web Scraping Techniques. - T. Karthikeyan; Karthik Sekaran; Ranjith D.; Vinoth Kumar Venkatesan 001; Balajee J. M. (Int. J. Web Portals, 2019)

Low power area efficient adaptive FIR filter for hearing aids using distributed arithmetic architecture. - P. V. Praveen Sundar; Ranjith D.; T. Karthikeyan; Vinoth Kumar Venkatesan 001; Balajee J. M. (Int. J. Speech Technol., 2020)

Design and Evaluation of Wi-Fi Offloading Mechanism in Heterogeneous Networks. - Vinoth Kumar Venkatesan 001; Ramamoorthy S.; Dhilip Kumar V.; Prabu M.; Balajee J. M. (Int. J. e Collab., 2021)

Improving Network Security Based on Trust-Aware Routing Protocols Using Long Short-Term Memory-Queuing Segment-Routing Algorithms. - Muthukumaran V.; Vinoth Kumar Venkatesan 001; Rose Bindu Joseph; Meram Munirathanam; Balajee Jeyakumar (Int. J. Inf. Technol. Proj. Manag., 2021)

Cervical Cancer Diagnosis Using Intelligent Living Behavior of Artificial Jellyfish Optimized With Artificial Neural Network. - Devikanniga Devarajan; D. Stalin Alex; T. R. Mahesh 001; V. Vinoth Kumar 001; Rajanikanth Aluvalu; V. Uma Maheswari 001; S. Shitharth (IEEE Access, 2022)

6G enabled federated learning for secure IoMT resource recommendation and propagation analysis. - Syed Thouheed Ahmed; Vinoth Kumar Venkatesan 001; Krishna Kant Singh; Akansha Singh; Muthukumaran Venkatesan; Deepa Gupta (Comput. Electr. Eng., 2022)

Machine Learning-Based COVID-19 Classification Using E-Adopted CT Scans. - Ashokkumar Palanivinayagam; V. Vinoth Kumar 001; T. R. Mahesh 001; Krishna Kant Singh; Akansha Singh (Int. J. E Adopt., 2022)

An Efficient Signcryption Scheme Using Near-Ring Hybrid Approach for an IoT-Based System. - Vinoth Kumar Venkatesan 001; V. Muthukumaran; N. Ashwini; I. S. Beschi; Kesavan Gunasekaran; V. R. Niveditha (Int. J. e Collab., 2022)

Paddy Plant Disease Recognition, Risk Analysis, and Classification Using Deep Convolution Neuro-Fuzzy Network. - Vinoth Kumar Venkatesan 001; K. M. Karthick Raghunath; N. Rajesh; Muthukumaran Venkatesan; Rose Bindu Joseph; N. Thillaiarasu (J. Mobile Multimedia, 2022)

XGBoost Regression Classifier (XRC) Model for Cyber Attack Detection and Classification Using Inception V4. - K. M. Karthick Raghunath; V. Vinoth Kumar 001; Muthukumaran Venkatesan; Krishna Kant Singh; T. R. Mahesh 001; Akansha Singh (J. Web Eng., 2022)

Fusion of Variational Autoencoder-Generative Adversarial Networks and Siamese Neural Networks for Face Matching. - Garvit Luhadia; Aditya Deepak Joshi; V. Vijayarajan; V. Vinoth Kumar 001 (FICTA (2), 2023)

Multiclass Paddy Disease Detection Using Filter-Based Feature Transformation Technique. - N. Bharanidharan; S. R. Sannasi Chakravarthy; Harikumar Rajaguru; V. Vinoth Kumar 001; T. R. Mahesh 001; Suresh Guluwadi (IEEE Access, 2023)

Efficient Assamese Word Recognition for Societal Empowerment: A Comparative Feature-Based Analysis. - Naiwrita Borah; Udayan Baruah; Mahesh Thylore Ramakrishna; V. Vinoth Kumar 001; D. Ramya Dorai; Jonnakuti Rajkumar Annad (IEEE Access, 2023)

Prediction of Water Quality Using SoftMax-ELM Optimized Using Adaptive Crow-Search Algorithm. - S. R. Sannasi Chakravarthy; N. Bharanidharan; Vinoth Kumar Venkatesan 001; Mohamed Abbas; Harikumar Rajaguru; T. R. Mahesh 001; Krishnamoorthy Venkatesan (IEEE Access, 2023)

Smart Decision-Making and Communication Strategy in Industrial Internet of Things. - Kesavan Gunasekaran; V. Vinoth Kumar 001; A. C. Kaladevi; T. R. Mahesh 001; Chandrasekhar Rohith Bhat; Krishnamoorthy Venkatesan (IEEE Access, 2023)

Cluster-Based Protocol for Prioritized Message Communication in VANET. - Sanchari Saha; V. Vinoth Kumar 001; V. R. Niveditha; Velmurugan Athiyoor Kannan; Kesavan Gunasekaran; Krishnamoorthy Venkatesan (IEEE Access, 2023)

Analysis and Attack Detection in GSM Mobile Network With an Intelligent Jammer Using ANFIS Classifier. - S Sivaprakash; U. V. Anbazhagu; Iyappan Perumal; V. Vinoth Kumar 001; T. R. Mahesh 001; Suresh Guluwadi (IEEE Access, 2023)

AITel: eHealth Augmented-Intelligence-Based Telemedicine Resource Recommendation Framework for IoT Devices in Smart Cities. - Syed Thouheed Ahmed; V. Vinoth Kumar 001; Jungyoon Kim (IEEE Internet Things J., 2023)

Trustworthy Artificial Intelligence and Automatic Morse Code Based Communication Recognition with Eye Tracking. - Krishnakanth Medichalam; V. Vijayarajan; V. Vinoth Kumar 001; I. Manimozhi Iyer; Yaswanth Kumar Vanukuri; V. B. Surya Prasath; B. Swapna (J. Mobile Multimedia, 2023)

High-Performance Artificial Intelligence Recommendation of Quality Research Papers Using Effective Collaborative Approach. - Vinoth Kumar Venkatesan 001; Mahesh Thylore Ramakrishna; Anatoliy Batyuk; Andrii Barna; Bohdana Havrysh (Syst., 2023)

Optimizing Heterogeneity in IoT Infra Using Federated Learning and Blockchain-based Security Strategies. - Venkatesan Muthukumar; R. Sivakami; Vinoth Kumar Venkatesan 001; J. Balajee; T. R. Mahesh 001; E. Mohan; B. Swapna (Int. J. Comput. Commun. Control, 2023)

Local Entropy Based Remora Optimization and Sparse Autoencoders for Cancer Diagnosis Through Microarray Gene Expression Analysis. - N. Bharanidharan; S. R. Sannasi Chakravarthy; Vinoth Kumar Venkatesan 001; Mohamed Abbas; Mahesh Thylore Ramakrishna; Mohan Ellappan; Krishnamoorthy Venkatesan (IEEE Access, 2024)

Intelligent Recognition of Multimodal Human Activities for Personal Healthcare. - S. R. Sannasi Chakravarthy; N. Bharanidharan; V. Vinoth Kumar 001; T. R. Mahesh 001; Surbhi Bhatia Khan; Ahlam Almusharraf; Eid Albalawi (IEEE Access, 2024)

Hybrid Ant Lion Mutated Ant Colony Optimizer Technique With Particle Swarm Optimization for Leukemia Prediction Using Microarray Gene Data. - T. R. Mahesh 001; D. Santhakumar; A. Balajee; H. S. Shreenidhi; V. Vinoth Kumar 001; Jonnakuti Rajkumar Annad (IEEE Access, 2024)

Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies. - K. M. Karthick Raghunath; C. Rohith Bhat; Vinoth Kumar Venkatesan 001; Velmurugan Athiyoor Kannan; T. R. Mahesh 001; K. Manikandan; N. Krishnamoorthy (IEEE Access, 2024)

Data-Driven Intelligent Condition Adaptation of Feature Extraction for Bearing Fault Detection Using Deep Responsible Active Learning. - Mahesh Thylore Ramakrishna; Saravanan Chandrasekaran; V. Ashwin Ram; V. Vinoth Kumar 001; V. Vivek; Suresh Guluwadi (IEEE Access, 2024)

Attention-Based Feature Fusion With External Attention Transformers for Breast Cancer Histopathology Analysis. - K. Vanitha; Manimaran Aridoss; K. Chokkanathan; K. Anitha; T. R. Mahesh 001; V. Vinoth Kumar 001; G. N. Vivekananda (IEEE Access, 2024)

High-Performance Technique for Item Recommendation in Social Networks using Multiview Clustering. - U. V. Anbazhagu; V. R. Niveditha; Chandrasekhar Rohith Bhat; T. R. Mahesh 001; V. Vinoth Kumar 001; B. Swapna (Int. J. Comput. Commun. Control, 2024)

Early predictive model for breast cancer classification using blended ensemble learning. - T. R. Mahesh 001; V. Vinoth Kumar 001; V. Vivek; K. M. Karthick Raghunath; G. Sindhu Madhuri (Int. J. Syst. Assur. Eng. Manag., 2024)

Utilization of IoT-assisted computational strategies in wireless sensor networks for smart infrastructure management. - K. M. Karthick Raghunath; Manjula Sanjay Koti; R. Sivakami; Vinoth Kumar Venkatesan 001; Grande NagaJyothi; V. Muthukumaran (Int. J. Syst. Assur. Eng. Manag., 2024)

An Adaptive Xception Model for Classification of Brain Tumors. - Arastu Thakur; Surbhi Bhatia Khan; Shivakumara Palaiahnakote; V. Vinoth Kumar 001; Ahlam Almusharraf; Arwa A. Mashat (Int. J. Pattern Recognit. Artif. Intell., 2024)

PrEGAN: Privacy-Enhanced Clinical EMR Generation: Leveraging GAN Model for Customer De-Identification. - Syed Thouheed Ahmed; R. Sivakami; V. Vinoth Kumar 001; T. R. Mahesh 001; Surbhi Bhatia Khan; Arwa A. Mashat; Ahlam Almusharraf (IEEE Trans. Consumer Electron., 2024)

Augmented Intelligence Based COVID-19 Diagnostics and Deep Feature Categorization Based on Federated Learning. - Syed Thouheed Ahmed; Vinoth Kumar Venkatesan 001; T. R. Mahesh 001; S. Roopashree; Muthukumaran Venkatesan (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

VAG Signal-Based Computational System for Consumer's Utilization Devices in Osteoarthritis Data Extraction and Classification. - A. Balajee; T. R. Mahesh 001; V. Vinoth Kumar 001; V. Dhilip Kumar; C. Rohith Bhat (IEEE Trans. Consumer Electron., 2024)

Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework. - Syed Thouheed Ahmed; T. R. Mahesh 001; E. Srividhya; V. Vinoth Kumar 001; Surbhi Bhatia Khan; Abdullah Albuali; Ahlam Almusharraf (BMC Medical Imaging, 2024)

Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. - Eid Albalawi; T. R. Mahesh 001; Arastu Thakur; V. Vinoth Kumar 001; Muskan Gupta; Surbhi Bhatia Khan; Ahlam Almusharraf (BMC Medical Imaging, 2024)

Correction to: Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. - Eid Albalawi; T. R. Mahesh 001; Arastu Thakur; V. Vinoth Kumar 001; Muskan Gupta; Surbhi Bhatia Khan; Ahlam Almusharraf (BMC Medical Imaging, 2024)

Refining neural network algorithms for accurate brain tumor classification in MRI imagery. - Asma AlShuhail; Arastu Thakur; Chandramma R; T. R. Mahesh 001; Ahlam Almusharraf; V. Vinoth Kumar 001; Surbhi Bhatia Khan (BMC Medical Imaging, 2024)

Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer. - S. R. Sannasi Chakravarthy; N. Bharanidharan; V. Vinoth Kumar 001; T. R. Mahesh 001; Mohammed S. Alqahtani; Suresh Guluwadi (BMC Medical Imaging, 2024)

Adaptive Mish activation and ranger optimizer-based SEA-ResNet50 model with explainable AI for multiclass classification of COVID-19 chest X-ray images. - S. R. Sannasi Chakravarthy; N. Bharanidharan; C. Vinothini; Vinoth Kumar Venkatesan 001; T. R. Mahesh 001; Suresh Guluwadi (BMC Medical Imaging, 2024)

Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics. - J. Satheesh Kumar; V. Vinoth Kumar 001; T. R. Mahesh 001; Mohammed S. Alqahtani; P. Prabhavathy; K. Manikandan; Suresh Guluwadi (BMC Medical Imaging, 2024)

Revolutionizing breast ultrasound diagnostics with EfficientNet-B7 and Explainable AI. - M. Latha; P. Santhosh Kumar; R. Roopa Chandrika; T. R. Mahesh 001; V. Vinoth Kumar 001; Suresh Guluwadi (BMC Medical Imaging, 2024)

Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50. - Mohamed Musthafa M; T. R. Mahesh 001; V. Vinoth Kumar 001; Suresh Guluwadi (BMC Medical Imaging, 2024)

Enhanced skin cancer diagnosis using optimized CNN architecture and checkpoints for automated dermatological lesion classification. - Mohamed Musthafa M; Mahesh Thylore Ramakrishna; V. Vinoth Kumar 001; Suresh Guluwadi (BMC Medical Imaging, 2024)

Multi-class Breast Cancer Classification Using CNN Features Hybridization. - S. R. Sannasi Chakravarthy; N. Bharanidharan; Surbhi Bhatia Khan; V. Vinoth Kumar 001; Mahesh Thylore Ramakrishna; Ahlam Almusharraf; Eid Albalawi (Int. J. Comput. Intell. Syst., 2024)

Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization. - S. R. Sannasi Chakravarthy; Bharanidharan Nagarajan; V. Vinoth Kumar 001; T. R. Mahesh 001; R. Sivakami; Jonnakuti Rajkumar Annad (Int. J. Comput. Intell. Syst., 2024)

Optimizing Personalized and Context-Aware Recommendations in Pervasive Computing Environments. - A. C. Kaladevi; V. Vinoth Kumar 001; T. R. Mahesh 001; Suresh Guluwadi (Int. J. Comput. Intell. Syst., 2024)

Transformative Breast Cancer Diagnosis using CNNs with Optimized ReduceLROnPlateau and Early Stopping Enhancements. - T. R. Mahesh 001; Arastu Thakur; Muskan Gupta; Deepak Kumar Sinha; Kritika Kumari Mishra; Vinoth Kumar Venkatesan 001; Suresh Guluwadi (Int. J. Comput. Intell. Syst., 2024)

Efficient Heart Disease Classification Through Stacked Ensemble with Optimized Firefly Feature Selection. - Krishnamoorthy Natarajan; V. Vinoth Kumar 001; T. R. Mahesh 001; Mohamed Abbas; Nirmaladevi Kathamuthu; E. Mohan; Jonnakuti Rajkumar Annad (Int. J. Comput. Intell. Syst., 2024)

Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering. - A. M. J. Zubair Rahman; Muskan Gupta; S. Aarathi; T. R. Mahesh 001; V. Vinoth Kumar 001; S. Yogesh Kumaran; Suresh Guluwadi (BMC Medical Informatics Decis. Mak., 2024)

Leveraging Personalized Customer Experiences in Mobile Edge Computing Through Split Learning Using Smart Data-Driven Modeling. - V. Vinoth Kumar 001; K. M. Karthick Raghunath; Iyappan Perumal; K. Manikandan (IEEE Access, 2025)

Federated Learning Framework for Consumer IoMT-Edge Resource Recommendation Under Telemedicine Services. - Syed Thouheed Ahmed; R. Sivakami; Debajyoty Banik; Surbhi Bhatia Khan; Rajesh Kumar Dhanaraj; V. Vinoth Kumar 001; T. R. Mahesh 001; Ahlam Almusharraf (IEEE Trans. Consumer Electron., 2025)

Privacy Enhanced Edge-AI Healthcare Devices Authentication: A Federated Learning Approach. - Syed Thouheed Ahmed; A. C. Kaladevi; Vinoth Kumar Venkatesan 001; Achyut Shankar; Fayez Alqahtani 001 (IEEE Trans. Consumer Electron., 2025)

Enhanced tuberculosis detection using Vision Transformers and explainable AI with a Grad-CAM approach on chest X-rays. - K. Vanitha; T. R. Mahesh 001; V. Vinoth Kumar 001; Suresh Guluwadi (BMC Medical Imaging, 2025)