Vinoth Kumar Venkatesan

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 22

Top Topics

Transfer Learning

Multiclass Classification

Homomorphic Filtering

Top Venues

BMC Medical Imaging

Int. J. Comput. Intell. Syst.

Int. J. Comput. Commun. Control

Publications

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, Mahesh Thylore Ramakrishna, Vinoth Kumar Venkatesan, Suresh Guluwadi
Enhanced skin cancer diagnosis using optimized CNN architecture and checkpoints for automated dermatological lesion classification. BMC Medical Imaging 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)
K. M. Karthick Raghunath, Manjula Sanjay Koti, R. Sivakami, Vinoth Kumar Venkatesan, Grande NagaJyothi, V. Muthukumaran
Utilization of IoT-assisted computational strategies in wireless sensor networks for smart infrastructure management. Int. J. Syst. Assur. Eng. Manag. 15 (1) (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)
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)
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)
N. Bharanidharan, S. R. Sannasi Chakravarthy, Vinoth Kumar Venkatesan, Mohamed Abbas, Mahesh Thylore Ramakrishna, Mohan Ellappan, Krishnamoorthy Venkatesan
Local Entropy Based Remora Optimization and Sparse Autoencoders for Cancer Diagnosis Through Microarray Gene Expression Analysis. IEEE Access 12 (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)
Mahesh Thylore Ramakrishna, Saravanan Chandrasekaran, V. Ashwin Ram, Vinoth Kumar Venkatesan, V. Vivek, Suresh Guluwadi
Data-Driven Intelligent Condition Adaptation of Feature Extraction for Bearing Fault Detection Using Deep Responsible Active Learning. IEEE Access 12 (2024)
Syed Thouheed Ahmed, Vinoth Kumar Venkatesan, Junho Jeong
Heterogeneous Workload-Based Consumer Resource Recommendation Model for Smart Cities: eHealth Edge-Cloud Connectivity Using Federated Split Learning. IEEE Trans. Consumer Electron. 70 (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)
S. R. Sannasi Chakravarthy, N. Bharanidharan, Surbhi Bhatia Khan, Vinoth Kumar Venkatesan, Mahesh Thylore Ramakrishna, Ahlam Almusharraf, Eid Albalawi
Multi-class Breast Cancer Classification Using CNN Features Hybridization. Int. J. Comput. Intell. Syst. 17 (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. 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)
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)
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)
Mahesh Thyluru Ramakrishna, Vinoth Kumar Venkatesan, Ivan Izonin, Myroslav Havryliuk, Chandrasekhar Rohith Bhat
Homogeneous Adaboost Ensemble Machine Learning Algorithms with Reduced Entropy on Balanced Data. Entropy 25 (2) (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)