Subhas Mukhopadhyay – författare

This book uncovers and presents various real-life applications in the areas of transportation, smart cities, manufacturing, agriculture, disaster management, finance, health care and in other areas by using cutting-edge advanced Machine Learning (ML) techniques such as Deep Learning and Explainable AI (XAI) models using IoT sensor data.

This book uncovers and presents various real-life applications in the areas of transportation, smart cities, manufacturing, agriculture, disaster management, finance, health care and in other areas by using cutting-edge advanced Machine Learning (ML) techniques such as Deep Learning and Explainable AI (XAI) models using IoT sensor data. The book provides various examples of analyzing large amounts of data, detecting patterns, and making predictions in real-time applications and detailed case studies with practical solutions using various state-of-the-art machine learning and IoT sensor data and all these aspects will benefit the stakeholders. The book is useful for academics, researchers, upper-undergraduate, master and Ph.D. students, engineers and practitioners in sensor/IoT and AI/ML technologies, methods, applications, and related areas, and it also offers valuable insights by suggesting future research directions and providing recommendations within the fields of AI and IoT.

This book uncovers and presents insights into the intersecting realms of IoT sensors and AI/ML technologies, providing a unique opportunity for researchers and developers to contribute to progress in these fields. By exploring methods, applications, and similar aspects, it sheds light on how these technologies will continue to shape and impact our lives.

This book explores the cutting-edge advancements in sensing technologies and their applications in robotics and drones. It provides a comprehensive platform for academicians, researchers, and developers to showcase their work on novel sensing methods, sensor integration, and AI/ML-enabled systems. By focusing on both theoretical advancements and practical applications, this book addresses the challenges and opportunities in the use of sensing technologies in robotics and autonomous systems. Through case studies, research findings, and emerging trends, the book offers valuable insights into the future of sensing technologies in robotics and drones, making it an essential resource for anyone looking to understand or contribute to this rapidly evolving field.

It gathers selected papers presented at the 7th International Conference on Communication, Devices and Networking (ICCDN 2024), which was organized by the Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, Sikkim, India, on January 19–20, 2024.