This book is a collection of best selected research papers presented at 7th International Conference on Computing in Engineering and Technology (ICCET 2022), organized by Dr. Babasaheb Ambedkar Technological University, Lonere, India, during February 12 – 13, 2022.
This book is a collection of seminal position essays by leading researchers on new development in Geographic Information Sciences (GIScience), covering a wide range of topics and representing a variety of perspectives.
This book presents the conference proceedings of the 25th edition of the International Joint Conference on Industrial Engineering and Operations Management.
Artificial neural networks provide a simple framework for describing learning from examples. This coherent account of important concepts and techniques of statistical... Læs mere
Introduction to Visual Effects is the first single introduction to the computational and mathematical aspects of Visual Effects, incorporating... Læs mere
This book provides a wide range of research directions in the field of edge-cloud computing, SDN, and IoT. It is a starting... Læs mere
This book presents new cyber-physical security findings for Industry 4.0 using emerging technologies... Læs mere
Computer vision and image analysis play an essential role in 4.0 IR as machine vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance.
This book offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT.
This book focuses on the futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools with the models of the data-driven blockchain ecosystem.
Nanetti outlines a methodology for deploying artificial intelligence and machine learning to enhance historical research.