Web Mining: Key Accomplishments, Applications and Future Directions. - Mahesh Thylore Ramakrishna; Latha Kolal Gowdar; Malatesh Somashekar Havanur; Banur Puttappa Mallikarjuna Swamy (DSDE, 2010)

Untraceable privacy-preserving authentication protocol for RFID tag using salted hash algorithm. - Pinaki Ghosh; T. R. Mahesh 001 (Int. J. Adv. Intell. Paradigms, 2019)

A Cardiovascular Disease Detection System using Machine Learning. - V. Srikanth; T. R. Mahesh 001 (IC3I, 2022)

A Powerful Data Mining Method for Locating Sets of High Electricity Items. - T. R. Mahesh 001; Devi Kanniga (IC3I, 2022)

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)

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)

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)

Cognitive Based Attention Deficit Hyperactivity Disorder Detection with Ability Assessment Using Auto Encoder Based Hidden Markov Model. - T. R. Mahesh 001; Tanmay Goswami; Srinivasan Sriramulu; Neeraj Sharma; Alka Kumari; Ganesh Khekare (Int. J. Commun. Networks Inf. Secur., 2022)

Smart Grid Sensor Monitoring Based on Deep Learning Technique with Control System Management in Fault Detection. - Aishwary Awasthi; T. R. Mahesh 001; Rutvij Joshi; Arvind Kumar Pandey; Rini Saxena; Subhashish Goswami (Int. J. Commun. Networks Inf. Secur., 2022)

Mel-Frequency Cepstral Coefficients-Based Emotion Identification Using Artificial Neural Network From Speech And Songs. - Ishan Dhakal; Navin Kumar Sah; Kwok Wei Ling; Sweety Kumari Rauniyar; Gaurav Kumar; T. R. Mahesh 001 (ICCCNT, 2023)

Stock Market Prediction Using Genetic Algorithm Assisted LSTM-CNN Hybrid Model. - Shreyas Nikhil; Rahul Kumar Sah; Santosh Kumar Parki; Til Bikram Tamang; Somashekhara Reddy D; T. R. Mahesh 001 (ICCCNT, 2023)

A Novel Approach for Detection of Agricultural Crops Using CNN. - T. R. Mahesh 001; Aman Singh Chandel; Harshitha Gupta; Rakshit Jain; Sadhvi Garg (ICCCNT, 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)

Redefining Retinal Lesion Segmentation: A Quantum Leap With DL-UNet Enhanced Auto Encoder-Decoder for Fundus Image Analysis. - B. Naveen Kumar; T. R. Mahesh 001; G. Geetha; Suresh Guluwadi (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)

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)

High ECG diagnosis rate using novel machine learning techniques with Distributed Arithmetic (DA) based gated recurrent units. - K. A. Sharada; KSN Sushma; V. Muthukumaran; T. R. Mahesh 001; B. Swapna; S. Roopashree (Microprocess. Microsystems, 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)

Enhancing Software Fault Prediction Through Feature Selection With Spider Wasp Optimization Algorithm. - Himansu Das; Swarnava Das; Mahendra Kumar Gourisaria; Surbhi Bhatia Khan; Ahlam Almusharraf; Abdullah I. Alharbi; T. R. Mahesh 001 (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)

Enhancing brain tumor classification in MRI scans with a multi-layer customized convolutional neural network approach. - Eid Albalawi; Arastu Thakur; D. Ramya Dorai; Surbhi Bhatia Khan; T. R. Mahesh 001; Ahlam Almusharraf; Khursheed Aurangzeb; Muhammad Shahid Anwar (Frontiers Comput. Neurosci., 2024)

MResGat: Multi-head Residual Dilated Convolution Assisted Gated Unit Framework for Crop Yield Prediction. - Sahana Shetty; T. R. Mahesh 001 (Scalable Comput. Pract. Exp., 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)

SKGDC: Effective Segmentation Based Deep Learning Methodology for Banana Leaf, Fruit, and Stem Disease Prediction. - Sahana Shetty; T. R. Mahesh 001 (SN Comput. Sci., 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)

Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam. - S. Yogesh Kumaran; J. Jospin Jeya; T. R. Mahesh 001; Surbhi Bhatia Khan; Saeed Alzahrani; Mohammed Alojail (BMC Medical Imaging, 2024)

Correction: Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam. - S. Yogesh Kumaran; J. Jospin Jeya; T. R. Mahesh 001; Surbhi Bhatia Khan; Saeed Alzahrani; Mohammed Alojail (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)

Enhancing image-based diagnosis of gastrointestinal tract diseases through deep learning with EfficientNet and advanced data augmentation techniques. - A. M. J. Zubair Rahman; R. Mythili 002; K. Chokkanathan; T. R. Mahesh 001; K. Vanitha; Temesgen Engida Yimer (BMC Medical Imaging, 2024)

AgriFusion: A Low-Carbon Sustainable Computing Approach for Precision Agriculture Through Probabilistic Ensemble Crop Recommendation. - T. R. Mahesh 001; Arastu Thakur; A. K. Velmurugan; Surbhi Bhatia Khan; Thippa Reddy Gadekallu; Saeed Alzahrani; Mohammed Alojail (Comput. Intell., 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)

Hybridized deep learning goniometry for improved precision in Ehlers-Danlos Syndrome (EDS) evaluation. - Thirumalesu Kudithi; J. Balajee; R. Sivakami; T. R. Mahesh 001; E. Mohan; Suresh Guluwadi (BMC Medical Informatics Decis. Mak., 2024)

Optimizing double-layered convolutional neural networks for efficient lung cancer classification through hyperparameter optimization and advanced image pre-processing techniques. - Mohamed Musthafa M; I. Manimozhi; T. R. Mahesh 001; Suresh Guluwadi (BMC Medical Informatics Decis. Mak., 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)

Deep learning ensemble approach with explainable AI for lung and colon cancer classification using advanced hyperparameter tuning. - K. Vanitha; T. R. Mahesh 001; S. Sathea Sree; Suresh Guluwadi (BMC Medical Informatics Decis. Mak., 2024)

Enhancing Diagnostic Precision in Breast Cancer Classification Through EfficientNetB7 Using Advanced Image Augmentation and Interpretation Techniques. - T. R. Mahesh 001; Surbhi Bhatia Khan; Kritika Kumari Mishra; Saeed Alzahrani; Mohammed Alojail (Int. J. Imaging Syst. Technol., 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)

Enhanced Layer Extraction for Efficient Plant Disease Classification using Efficientnet B1. - Arastu Thakur; Abhilasha Thakur; V. Vivek; T. R. Mahesh 001; K. Murali Krishna (SN Comput. Sci., 2025)

Fine Tuned LLM With Lora-Q for Enhanced Health Literacy. - T. R. Mahesh 001; R. Sivakami; Arastu Thakur; 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)