Senthil Kumar Thangavel

According to our database, Senthil Kumar Thangavel authored at least 24 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Violence Detection in Campus Surveillance.

Sai Sri Nihal Velamuri, Yarlagadda Sri Likhitha, Bala Bhargavi Tallapaneni, Adithya Reddy Komatireddy, Senthil Kumar Thangavel, JeyaKumar G, Vasan Sowriraja

Dataset, January, 2025

2024

Two-Stage Deep Learning Framework For NIDS.

Vijey Shrivathsan Vasudevan, Varahabhatla Sriharsha Chayanulu, Senthil Kumar Thangavel, Shri Venkatakrishnan Vasudevan, Sulakshan Vajipayajula

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Yoga Pose Detection with Deep Learning and Computer Vision.

Amisha Srivastava, K. Gayathri, Senthil Kumar Thangavel, Pullela Meghana, S. Vishvajit, B. Senthil Kumar, K. Somasundaram

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

An Automated Glaucoma Detection using DenseNet for ANSAN.

K. S. Harshni Sri, S. Sri Kailaash Kumar, Avadhani Bindu, Senthil Kumar Thangavel, K. Somasundaram, Sathyan Parthasaradhi, Selvanayaki Kolandapalayam Shanmugam

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

MedBot - An NLP based ChatBot for Diabetes Prediction.

K. Sreekar, V. Aswin, Vishnu Narayanan, Senthil Kumar Thangavel, K. Somasundaram, Selvanayaki Kolandapalayam Shanmugam

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Enhancing Cyclone Center Identification in Radar Images through Deep Learning and Match Recognition.

Thirumurugan Shanmugam, Chirag Chandrashekar, Maheswari Subburaj, Arun Kumar Sivaraman, Ajmery Sultana, Senthil Kumar Thangavel

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

PokkahScan - An Intelligent Drone for detection of Pokkah Boeng Disease in Sugarcane Using Transfer Learning and eXplainable AI.

Rahul Ravikumar, M. V. Sujith Kumaar, Shirish Krishna, M. Jayasurkanth, Vr Yasshwanth, Sanjay Kishore Saravanan, Senthil Kumar Thangavel, S. Thangeswari, K. Somasundaram, Selvanayaki Kolandapalayam Shanmugam

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Towards Real-Time Human Activity Recognition: A Machine Learning Perspective.

Saikrishna Rajanidi, R. Saminathan, Sebin Beebi Philip, T. Palanisamy, Senthil Kumar Thangavel, Tirumala Kumar Kandukuru

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Explainable AI for Glaucoma Detection: Integrating Alternet-k and LIME.

S. Sri Kailaash Kumar, K. S. Harshni Sri, Avadhani Bindu, Senthil Kumar Thangavel, K. Somasundaram, Sathyan Parthasaradhi, M. C. Shunmugapriya, Selvanayaki Kolandapalayam Shanmugam

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

ANSAN: Data Interpretability based analysis of Deep Learning Model.

S. Harish, K. Karthie Krishna, Avadhani Bindu, Senthil Kumar Thangavel, K. Somasundaram, Sathyan Parthasaradhi, Selvanayaki Kolandapalayam Shanmugam

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

ANSAN: Utilizing Inception V3 for Glaucoma Detection.

K. R. Hanish, G. Sukantha Velan, Avadhani Bindu, Senthil Kumar Thangavel, K. Somasundaram, Sathyan Parthasaradhi, Selvanayaki Kolandapalayam Shanmugam

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Design of Cost Function Minimization Algorithm for Computer Vison based model building.

K. S. Gautam, H. Haritha, Senthil Kumar Thangavel, T. Palanisamy

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Beyond the Black Box: Explainable AI for Glaucoma Detection and Future Improvements.

Avadhani Bindu, Senthil Kumar Thangavel, K. Somasundaram, Sathyan Parthasaradhi, Ram Gopal Pulgurthi, Meenakshi Y. Dhar

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Shielding Cyberspace: A Machine Learning Approach for Malicious URL Detection.

P. Anusri, S. Sneha, Prabhu Natarajan, T. Palanisamy, Senthil Kumar Thangavel

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Rule-oriented Approach for Knowledge acquisition from Database.

B. Aakash, S. S. Uma Sankari, Senthil Kumar Thangavel, T. Palanisamy

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2023

Detection and Prevention of Advanced Persistent Threat (APT) Activities in Heterogeneous Networks using SIEM and Deep Learning.

V. S. Tharunika, Shridhar T, K. Veeresh, Senthil Kumar Thangavel, Karthik Srinivasan, Sulakshan Vajipayajula, Anjali Tibrewal

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Early Detection of DDoS Attacks in SDN using Machine Learning Techniques.

Parvathi Sanjana Pericherla, Senthil Kumar Thangavel, Kartik Srinivasan, Anjali Tibrewal, Sulakshan Vajipayajula

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Obfuscated Malware detection using Machine Learning models.

Karthik Manikandan Balasubramanian, Shri Venkatakrishnan Vasudevan, Senthil Kumar Thangavel, Gireesh Kumar T, Kartik Srinivasan, Anjali Tibrewal, Sulakshan Vajipayajula

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

An early malware threat detection model using Conditional Tabular Generative Adversarial Network.

V. Amrith, Darshan S, Suriya K. S, Sulakshan Vajipayajula, Kartik Srinivasan, Senthil Kumar Thangavel, T. Gireesh Kumar

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

A Cloud-Based Intrusion Detection System for Advanced Threat Detection and Prevention using Machine Learning Techniques.

Ravella Abhinav, Kunduru Nikunj Raghav, Singadi Shanthan Reddy, Penugonda Sai Naga Koushik, Senthil Kumar Thangavel, Karthik Srinivasan

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

ConvMTL: Multi-task Learning via Self-supervised Learning for Simultaneous Dense Predictions.

Vijayasri Iyer, Senthil Kumar Thangavel, Madhusudana Rao Nalluri, Maiga Chang

Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023

2020

A semi-automated system for smart harvesting of tea leaves.

Manesh Murthi, Senthil Kumar Thangavel

Int. J. Comput. Aided Eng. Technol., 2020

Hidden object detection for classification of threat.

K. S. Gautam, Senthil Kumar Thangavel

Int. J. Comput. Aided Eng. Technol., 2020

2014

Customization of Recommendation System Using Collaborative Filtering Algorithm on Cloud Using Mahout.

Senthil Kumar Thangavel, Swati Pandey

Proceedings of the Intelligent Distributed Computing, 2014