T. R. Mahesh

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 36

Top Topics

Transfer Learning

Tumor Detection

Multiclass Classification

Feature Transformation

Top Venues

BMC Medical Imaging

BMC Medical Informatics Decis. Mak.

Int. J. Comput. Intell. Syst.

Publications

Thirumalesu Kudithi, J. Balajee, R. Sivakami, T. R. Mahesh, E. Mohan, Suresh Guluwadi
Hybridized deep learning goniometry for improved precision in Ehlers-Danlos Syndrome (EDS) evaluation. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Asma Alshuhail, Arastu Thakur, R. Chandramma, T. R. Mahesh, Ahlam Almusharraf, Vinoth Kumar Venkatesan, Surbhi Bhatia Khan
Refining neural network algorithms for accurate brain tumor classification in MRI imagery. BMC Medical Imaging 24 (1) (2024)
A. M. J. Zubair Rahman, Muskan Gupta, S. Aarathi, T. R. Mahesh, Vinoth Kumar Venkatesan, S. Yogesh Kumaran, Suresh Guluwadi
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Mohamed Musthafa M, I. Manimozhi, T. R. Mahesh, Suresh Guluwadi
Optimizing double-layered convolutional neural networks for efficient lung cancer classification through hyperparameter optimization and advanced image pre-processing techniques. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Eid Albalawi, T. R. Mahesh, Arastu Thakur, Vinoth Kumar Venkatesan, Muskan Gupta, Surbhi Bhatia Khan, Ahlam Almusharraf
Correction to: Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. BMC Medical Imaging 24 (1) (2024)
Sahana Shetty, T. R. Mahesh
SKGDC: Effective Segmentation Based Deep Learning Methodology for Banana Leaf, Fruit, and Stem Disease Prediction. SN Comput. Sci. 5 (6) (2024)
S. R. Sannasi Chakravarthy, N. Bharanidharan, Vinoth Kumar Venkatesan, T. R. Mahesh, Surbhi Bhatia Khan, Ahlam Almusharraf, Eid Albalawi
Intelligent Recognition of Multimodal Human Activities for Personal Healthcare. IEEE Access 12 (2024)
S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, Suresh Guluwadi
Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer. BMC Medical Imaging 24 (1) (2024)
Eid Albalawi, T. R. Mahesh, Arastu Thakur, Vinoth Kumar Venkatesan, Muskan Gupta, Surbhi Bhatia Khan, Ahlam Almusharraf
Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. BMC Medical Imaging 24 (1) (2024)
K. Vanitha, T. R. Mahesh, S. Sathea Sree, Suresh Guluwadi
Deep learning ensemble approach with explainable AI for lung and colon cancer classification using advanced hyperparameter tuning. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
T. R. Mahesh, Vinoth Kumar Venkatesan, V. Vivek, K. M. Karthick Raghunath, G. Sindhu Madhuri
Early predictive model for breast cancer classification using blended ensemble learning. Int. J. Syst. Assur. Eng. Manag. 15 (1) (2024)
Mohamed Musthafa M, T. R. Mahesh, Vinoth Kumar Venkatesan, Suresh Guluwadi
Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50. BMC Medical Imaging 24 (1) (2024)
T. R. Mahesh, D. Santhakumar, A. Balajee, H. S. Shreenidhi, V. Vinoth Kumar, Jonnakuti Rajkumar Annad
Hybrid Ant Lion Mutated Ant Colony Optimizer Technique With Particle Swarm Optimization for Leukemia Prediction Using Microarray Gene Data. IEEE Access 12 (2024)
S. Yogesh Kumaran, J. Jospin Jeya, T. R. Mahesh, Surbhi Bhatia Khan, Saeed Alzahrani, Mohammed Alojail
Correction: Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam. BMC Medical Imaging 24 (1) (2024)
Krishnamoorthy Natarajan, Vinoth Kumar Venkatesan, T. R. Mahesh, Mohamed Abbas, Nirmaladevi Kathamuthu, E. Mohan, Jonnakuti Rajkumar Annad
Efficient Heart Disease Classification Through Stacked Ensemble with Optimized Firefly Feature Selection. Int. J. Comput. Intell. Syst. 17 (1) (2024)
J. Satheesh Kumar, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, P. Prabhavathy, K. Manikandan, Suresh Guluwadi
Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics. BMC Medical Imaging 24 (1) (2024)
S. R. Sannasi Chakravarthy, N. Bharanidharan, C. Vinothini, Vinoth Kumar Venkatesan, T. R. Mahesh, Suresh Guluwadi
Adaptive Mish activation and ranger optimizer-based SEA-ResNet50 model with explainable AI for multiclass classification of COVID-19 chest X-ray images. BMC Medical Imaging 24 (1) (2024)
U. V. Anbazhagu, V. R. Niveditha, Chandrasekhar Rohith Bhat, T. R. Mahesh, Vinoth Kumar Venkatesan, B. Swapna
High-Performance Technique for Item Recommendation in Social Networks using Multiview Clustering. Int. J. Comput. Commun. Control 19 (1) (2024)
S. Yogesh Kumaran, J. Jospin Jeya, T. R. Mahesh, Surbhi Bhatia Khan, Saeed Alzahrani, Mohammed Alojail
Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam. BMC Medical Imaging 24 (1) (2024)
S. R. Sannasi Chakravarthy, Bharanidharan Nagarajan, Vinoth Kumar Venkatesan, T. R. Mahesh, R. Sivakami, Jonnakuti Rajkumar Annad
Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization. Int. J. Comput. Intell. Syst. 17 (1) (2024)
Syed Thouheed Ahmed, T. R. Mahesh, E. Srividhya, Vinoth Kumar Venkatesan, Surbhi Bhatia Khan, Abdullah Albuali, Ahlam Almusharraf
Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework. BMC Medical Imaging 24 (1) (2024)
Himansu Das, Swarnava Das, Mahendra Kumar Gourisaria, Surbhi Bhatia Khan, Ahlam Almusharraf, Abdullah I. Alharbi, T. R. Mahesh
Enhancing Software Fault Prediction Through Feature Selection With Spider Wasp Optimization Algorithm. IEEE Access 12 (2024)
T. R. Mahesh, Arastu Thakur, Muskan Gupta, Deepak Kumar Sinha, Kritika Kumari Mishra, Vinoth Kumar Venkatesan, Suresh Guluwadi
Transformative Breast Cancer Diagnosis using CNNs with Optimized ReduceLROnPlateau and Early Stopping Enhancements. Int. J. Comput. Intell. Syst. 17 (1) (2024)
B. Naveen Kumar, T. R. Mahesh, G. Geetha, Suresh Guluwadi
Redefining Retinal Lesion Segmentation: A Quantum Leap With DL-UNet Enhanced Auto Encoder-Decoder for Fundus Image Analysis. IEEE Access 11 (2023)
Venkatesan Muthukumar, R. Sivakami, Vinoth Kumar Venkatesan, J. Balajee, T. R. Mahesh, E. Mohan, B. Swapna
Optimizing Heterogeneity in IoT Infra Using Federated Learning and Blockchain-based Security Strategies. Int. J. Comput. Commun. Control 18 (6) (2023)
S Sivaprakash, U. V. Anbazhagu, Iyappan Perumal, V. Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi
Analysis and Attack Detection in GSM Mobile Network With an Intelligent Jammer Using ANFIS Classifier. IEEE Access 11 (2023)
K. A. Sharada, KSN Sushma, V. Muthukumaran, T. R. Mahesh, B. Swapna, S. Roopashree
High ECG diagnosis rate using novel machine learning techniques with Distributed Arithmetic (DA) based gated recurrent units. Microprocess. Microsystems 98 (2023)
N. Bharanidharan, S. R. Sannasi Chakravarthy, Harikumar Rajaguru, Vinoth Kumar V., T. R. Mahesh, Suresh Guluwadi
Multiclass Paddy Disease Detection Using Filter-Based Feature Transformation Technique. IEEE Access 11 (2023)
S. R. Sannasi Chakravarthy, N. Bharanidharan, Vinoth Kumar Venkatesan, Mohamed Abbas, Harikumar Rajaguru, T. R. Mahesh, Krishnamoorthy Venkatesan
Prediction of Water Quality Using SoftMax-ELM Optimized Using Adaptive Crow-Search Algorithm. IEEE Access 11 (2023)
Kesavan Gunasekaran, Vinoth Kumar V., A. C. Kaladevi, T. R. Mahesh, Chandrasekhar Rohith Bhat, Krishnamoorthy Venkatesan
Smart Decision-Making and Communication Strategy in Industrial Internet of Things. IEEE Access 11 (2023)
T. R. Mahesh, Tanmay Goswami, Srinivasan Sriramulu, Neeraj Sharma, Alka Kumari, Ganesh Khekare
Cognitive Based Attention Deficit Hyperactivity Disorder Detection with Ability Assessment Using Auto Encoder Based Hidden Markov Model. Int. J. Commun. Networks Inf. Secur. 14 (2) (2022)
Ashokkumar Palanivinayagam, Vinoth Kumar V., T. R. Mahesh, Krishna Kant Singh, Akansha Singh
Machine Learning-Based COVID-19 Classification Using E-Adopted CT Scans. Int. J. E Adopt. 14 (3) (2022)
Aishwary Awasthi, T. R. Mahesh, Rutvij Joshi, Arvind Kumar Pandey, Rini Saxena, Subhashish Goswami
Smart Grid Sensor Monitoring Based on Deep Learning Technique with Control System Management in Fault Detection. Int. J. Commun. Networks Inf. Secur. 14 (3) (2022)
K. M. Karthick Raghunath, Vinoth Kumar V., Muthukumaran Venkatesan, Krishna Kant Singh, T. R. Mahesh, Akansha Singh
XGBoost Regression Classifier (XRC) Model for Cyber Attack Detection and Classification Using Inception V4. J. Web Eng. 21 (4) (2022)
Devikanniga Devarajan, D. Stalin Alex, T. R. Mahesh, Vinoth Kumar V., Rajanikanth Aluvalu, V. Uma Maheswari, S. Shitharth
Cervical Cancer Diagnosis Using Intelligent Living Behavior of Artificial Jellyfish Optimized With Artificial Neural Network. IEEE Access 10 (2022)
Pinaki Ghosh, T. R. Mahesh
Untraceable privacy-preserving authentication protocol for RFID tag using salted hash algorithm. Int. J. Adv. Intell. Paradigms 13 (1/2) (2019)