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About Us

A. Gobinath

A. Gobinath is an Assistant Professor in IT Department of Velammal College of Engineering and Technology, Madurai,, obtained his B.E and M.E from Velammal College of Engineering and Technology, Madurai, he has 12 years of Teaching and Research Experience. He has a significant contribution in carrying out several research projects in EMI/EMC, he has published and presented papers in journals and conferences, He is a life member of SEMCE(I).

Publications

IoT Devices for Natural Disasters: IoT Technologies for Natural Disaster Management

In recent years, the convergence of internet of things (IoT) technologies has emerged as a pivotal force in revolutionizing the landscape of natural disaster management. This...

AI-Enabled Robotics

The merger of artificial intelligence (AI) and robotics constitutes a paradigm shift in the field of automation, resulting in AI-enabled robotics. This abstract provides a...

Unleashing the Power of Industry 5.0

This chapter discusses the convergence of the Fifth Industrial Revolution (Industry 5.0) with artificial intelligence (AI) technologies, emphasizing the revolutionary influence...

ANN Model for Predicting the Natural Disaster: Data-Driven Approaches for Natural Disaster Prediction and Mitigation

Natural disasters have been an enduring and formidable challenge throughout human history, causing widespread devastation to communities and ecosystems. The significance of...

Wearable Sensor and AI Algorithm Integration for Enhanced Natural Disaster Preparedness and Response

This chapter explores the innovative fusion of wearable sensor technologies and artificial intelligence (AI) algorithms in the context of natural disaster preparedness and...

Wearable Sensors and AI Algorithms for Pregnant Women

This book chapter aims to disseminate the impact created by the usage of wearable sensors along with artificial intelligence technologies for pregnant women. A healthy society...

Wearable Sensors and AI Algorithms for Pregnant Women: Integrating Wearable Mitered Meander Antenna Sensors for Continuous Breathing Monitoring

This study proposes a new wearable antenna-based sensor for real-time continuous breathing monitoring using a mitered meander dipole antenna incorporated into commercial fabric....