Machine Learning and Autonomous Systems: Proceedings of ICMLAS 2021

This book is a collection of selected papers from the International Conference on Machine Learning and Autonomous Systems (ICMLAS 2021), covering emerging modern mobile robotic systems, intelligent information systems, and autonomous systems in various industries.

Format: Hardback
Length: 653 pages
Publication date: 11 February 2022
Publisher: Springer Verlag, Singapore

This book is a compilation of selected papers presented at the International Conference on Machine Learning and Autonomous Systems (ICMLAS 2021), which took place in Tamil Nadu, India, from September 24 to 25, 2021. It features groundbreaking and innovative work from esteemed experts, practitioners, scientists, and decision-makers from both academia and industry. The book encompasses a diverse range of selected papers in the fields of emerging modern mobile robotic systems, intelligent information systems, and autonomous systems in agriculture, healthcare, education, military, and various industries.

The conference aimed to bring together professionals from around the world to discuss and explore the latest advancements in machine learning, autonomous systems, and their applications in various domains. The selected papers in this book represent the cutting-edge research and developments in these areas, showcasing the latest technologies, algorithms, and methodologies being employed to address complex problems and achieve remarkable outcomes.

The book is organized into several chapters, each focusing on a specific aspect of machine learning and autonomous systems. The chapters are authored by leading researchers and experts in their respective fields, providing in-depth insights and perspectives on the latest trends and challenges in these domains.

One of the key themes of the conference was the integration of artificial intelligence and machine learning with other technologies such as robotics, the Internet of Things, and big data. The selected papers in this book explore how these technologies can be leveraged to create intelligent systems that can learn from data, make decisions, and adapt to changing environments.

Another important theme of the conference was the application of machine learning and autonomous systems in healthcare, education, and agriculture. The selected papers in this book discuss how these technologies can be used to improve patient care, enhance educational outcomes, and optimize agricultural practices, leading to increased efficiency and productivity.

The conference also featured a number of keynote speeches and panel discussions, where renowned experts in the field shared their insights and perspectives on the future of machine learning and autonomous systems. The selected papers in this book capture the essence of these discussions, providing a valuable resource for researchers, practitioners, and policymakers alike.

In conclusion, this book is a valuable contribution to the field of machine learning and autonomous systems. It provides a comprehensive overview of the latest research and developments in these areas, showcasing the innovative work of experts from around the world. The book will be of great interest to researchers, practitioners, students, and policymakers in the fields of computer science, engineering, and related disciplines.

Weight: 1172g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811679957
Edition number: 1st ed. 2022