Anish T. P.

T. P. Anish received his M.E. Degree from the Department of Computer Science and Engineering at Saveetha Engineering College (Affiliated to Anna University), Chennai, India, in 2011. He is currently an Assistant Professor at R.M.K. College of Engineering and Technology, Puduvoyal, India. He is pursuing his Ph.D. degree in Information and Communication Engineering from Anna University. His current research interest includes Machine Learning, Deep Learning and Big Data analytics.

Publications

Unveiling Earth's Rhythms: Deep Learning Techniques for Forecasting Seismic Cycle Locations
Unveiling Earth's Rhythms: Deep Learning Techniques for Forecasting Seismic Cycle Locations
Dhinakaran Damodaran, L. Srinivasan, R. Selvaraj, T. P. Anish. © 2024. 32 pages.
The chapter presents a comprehensive exploration of deep learning techniques applied to seismic pattern recognition and forecasting, aiming to advance our understanding of...
Revolutionizing Trust Manufacturing Integrating Real-Time Data and AI Innovations for Enhanced Efficiency
Revolutionizing Trust Manufacturing Integrating Real-Time Data and AI Innovations for Enhanced Efficiency
K. Sudha, C. Balakrishnan, T. P. Anish, T. Nithya, B. Gracelin Sheena, B. Maheswari, R. Siva Subramanian. © 2024. 24 pages.
The revolutionary synergy of AI and real-time data in transforming trust manufacturing processes is explored in this research study. The use of AI technology has unparalleled...
Data Insight Unveiled: Navigating Critical Approaches and Challenges in Diverse Domains Through Advanced Data Analysis
Data Insight Unveiled: Navigating Critical Approaches and Challenges in Diverse Domains Through Advanced Data Analysis
K. Sudha, C. Balakrishnan, T. P. Anish, T. Nithya, B. Yamini, R. Siva Subramanian, M. Nalini. © 2024. 25 pages.
Data engineering solutions have become important in our quickly evolving technological world for handling and analysing the massive volumes of data generated every day. The...
Engineering in Augmented and Virtual Realities: Current Applications and Future Frontiers
Engineering in Augmented and Virtual Realities: Current Applications and Future Frontiers
Anto Gracious L. A., Venkata Ramana T., Venkata Ramana K., Prabha S., Prem Kumar R., Sharmila Bhargavi V., Anish T. P.. © 2024. 13 pages.
The next generation of technology, VR and AR, is revolutionising engineering practices such as design, training, maintenance, and collaboration. This review examines the existing...
Emerging Trends in Edge AI for Industry 4.0 and 5.0: Technologies, Applications, and Challenges
Emerging Trends in Edge AI for Industry 4.0 and 5.0: Technologies, Applications, and Challenges
S. Anusha, M. Ezhilvandan, S. Gayathri, V. Sivaraman, Anish T. P., Siva Subramanian R.. © 2024. 18 pages.
In the context of Industry 4.0 and the anticipated Industry 5.0, the confluence of edge AI, machine vision, and intelligent robotics is driving the transformation of industries....
Exploring the Landscape of Artificial Intelligence in Healthcare Applications
Exploring the Landscape of Artificial Intelligence in Healthcare Applications
Anita M., Dhivya Bharathi R., Ambhika C., Anish T. P., Gracelin Sheena B., Siva Subramanian R.. © 2024. 20 pages.
This in-depth analysis of artificial intelligence (AI) in healthcare is a crucial instrument in the constantly changing field where cutting-edge technology and the complex field...
Advancements in Cognitive Radio Networks: Protocols, Architectures, Challenges, and Future Perspectives
Advancements in Cognitive Radio Networks: Protocols, Architectures, Challenges, and Future Perspectives
B. Yamini, Pajila P. J. Beslin, T. P Anish, Sheena B Gracelin, M. G. Dinesh, M. Nalini, Subramanian R. Siva. © 2024. 17 pages.
Cognitive radio networks (CRNs) revolutionise wireless communications by providing dynamic spectrum access and management to overcome static spectrum allocation. This overview...
Advanced AI-Based System for Precision Oil Spill Detection in Marine Environments
Advanced AI-Based System for Precision Oil Spill Detection in Marine Environments
S. D. Lalitha, S. Senthilkumar, B. Praveen Kumar, Umamageswaran Jambulingam, T. P. Anish, A. V. Kalpana. © 2024. 30 pages.
Oil spills threaten marine ecosystems, demanding precise detection methods. This paper introduces an AI-based system for accurate and timely oil spill detection in marine...
Advances in AI and Machine Learning for Healthcare Informatics
Advances in AI and Machine Learning for Healthcare Informatics
K. Maithili, A. Ponmalar, B. Yamini, M. Karthikeyan, T. P. Anish, B. Maheswari, R. Siva Subramanian. © 2024. 22 pages.
This study focuses on how medical informatics, bioinformatics and health records are getting rejuvenated by AI and ML, which is leading to a new paradigm in healthcare. It drives...