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Vinoth Kumar Venkatesan
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2020 – today
- 2024
- [j27]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: 39285-39299 (2024) - [j26]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: 45381-45397 (2024) - [j25]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) - [j24]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): 14 (2024) - [j23]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): 18 (2024) - [j22]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): 28-34 (2024) - [j21]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): 188-197 (2024) - 2023
- [j20]Kesavan Gunasekaran, Vinoth Kumar Venkatesan, 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: 28222-28235 (2023) - [j19]Sanchari Saha, Vinoth Kumar Venkatesan, V. R. Niveditha, Velmurugan Athiyoor Kannan, Kesavan Gunasekaran, Krishnamoorthy Venkatesan:
Cluster-Based Protocol for Prioritized Message Communication in VANET. IEEE Access 11: 67434-67442 (2023) - [j18]Naiwrita Borah, Udayan Baruah, Mahesh Thylore Ramakrishna, Vinoth Kumar Venkatesan, D. Ramya Dorai, Jonnakuti Rajkumar Annad:
Efficient Assamese Word Recognition for Societal Empowerment: A Comparative Feature-Based Analysis. IEEE Access 11: 82302-82326 (2023) - [j17]N. Bharanidharan, S. R. Sannasi Chakravarthy, Harikumar Rajaguru, Vinoth Kumar Venkatesan, T. R. Mahesh, Suresh Guluwadi:
Multiclass Paddy Disease Detection Using Filter-Based Feature Transformation Technique. IEEE Access 11: 109477-109487 (2023) - [j16]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: 140900-140913 (2023) - [j15]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): 245 (2023) - [j14]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) - [j13]Syed Thouheed Ahmed, Vinoth Kumar Venkatesan, Jungyoon Kim:
AITel: eHealth Augmented-Intelligence-Based Telemedicine Resource Recommendation Framework for IoT Devices in Smart Cities. IEEE Internet Things J. 10(21): 18461-18468 (2023) - [j12]Krishnakanth Medichalam, V. Vijayarajan, Vinoth Kumar Venkatesan, I. Manimozhi Iyer, Yaswanth Kumar Vanukuri, V. B. Surya Prasath, B. Swapna:
Trustworthy Artificial Intelligence and Automatic Morse Code Based Communication Recognition with Eye Tracking. J. Mobile Multimedia 19(6): 1439-1462 (2023) - [j11]Vinoth Kumar Venkatesan, Mahesh Thylore Ramakrishna, Anatoliy Batyuk, Andrii Barna, Bohdana Havrysh:
High-Performance Artificial Intelligence Recommendation of Quality Research Papers Using Effective Collaborative Approach. Syst. 11(2): 81 (2023) - [c1]Garvit Luhadia, Aditya Deepak Joshi, V. Vijayarajan, Vinoth Kumar Venkatesan:
Fusion of Variational Autoencoder-Generative Adversarial Networks and Siamese Neural Networks for Face Matching. FICTA (2) 2023: 231-241 - 2022
- [j10]Devikanniga Devarajan, D. Stalin Alex, T. R. Mahesh, Vinoth Kumar Venkatesan, 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: 126957-126968 (2022) - [j9]Syed Thouheed Ahmed, Vinoth Kumar Venkatesan, Krishna Kant Singh, Akansha Singh, Muthukumaran Venkatesan, Deepa Gupta:
6G enabled federated learning for secure IoMT resource recommendation and propagation analysis. Comput. Electr. Eng. 102: 108210 (2022) - [j8]Ashokkumar Palanivinayagam, Vinoth Kumar Venkatesan, 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): 1-16 (2022) - [j7]Vinoth Kumar Venkatesan, V. Muthukumaran, N. Ashwini, I. S. Beschi, Kesavan Gunasekaran, V. R. Niveditha:
An Efficient Signcryption Scheme Using Near-Ring Hybrid Approach for an IoT-Based System. Int. J. e Collab. 18(1): 1-31 (2022) - [j6]Vinoth Kumar Venkatesan, K. M. Karthick Raghunath, N. Rajesh, Muthukumaran Venkatesan, Rose Bindu Joseph, N. Thillaiarasu:
Paddy Plant Disease Recognition, Risk Analysis, and Classification Using Deep Convolution Neuro-Fuzzy Network. J. Mobile Multimedia 18(2): 325-348 (2022) - [j5]K. M. Karthick Raghunath, Vinoth Kumar Venkatesan, 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): 1295-1322 (2022) - 2021
- [j4]Vinoth Kumar Venkatesan, Ramamoorthy S., Dhilip Kumar V., Prabu M., Balajee J. M.:
Design and Evaluation of Wi-Fi Offloading Mechanism in Heterogeneous Networks. Int. J. e Collab. 17(1): 60-70 (2021) - [j3]Muthukumaran V., Vinoth Kumar Venkatesan, Rose Bindu Joseph, Meram Munirathanam, Balajee Jeyakumar:
Improving Network Security Based on Trust-Aware Routing Protocols Using Long Short-Term Memory-Queuing Segment-Routing Algorithms. Int. J. Inf. Technol. Proj. Manag. 12(4): 47-60 (2021) - 2020
- [j2]P. V. Praveen Sundar, Ranjith D., T. Karthikeyan, Vinoth Kumar Venkatesan, Balajee J. M.:
Low power area efficient adaptive FIR filter for hearing aids using distributed arithmetic architecture. Int. J. Speech Technol. 23(2): 287-296 (2020)
2010 – 2019
- 2019
- [j1]T. Karthikeyan, Karthik Sekaran, Ranjith D., Vinoth Kumar Venkatesan, Balajee J. M.:
Personalized Content Extraction and Text Classification Using Effective Web Scraping Techniques. Int. J. Web Portals 11(2): 41-52 (2019)
Coauthor Index
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