Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence - Tapa dura

Acerca del autor

Rupali Gill, PhD is an associate professor and Dean at the Chitkara University Institute of Engineering and Technology. She has published over 40 technical research papers in leading journals, as well as a patent granted. Her interests include image processing, cloud computing, artificial intelligence, and machine learning.

Susheela Hooda, PhD is an associate professor and Head of Academic Delivery at Chitkara University Institute of Engineering and Technology with over 15 years of teaching and research experience. She has published over thirty technical research papers in leading international journals and conferences and more than ten international patents. Her research interests include software engineering, aspect-oriented software development, software testing, cloud computing, artificial intelligence, and machine learning.

Durgesh Srivastava, PhD is an associate professor and Head of Academic Operations at Chitkara University Institute of Engineering and Technology with over 15 years of research and academic experience. He has published over 30 papers in reputed national and international journals and conferences, as well as several patents and copyrights in the field of computer software. His research interests include machine learning, soft computing, pattern recognition, and software engineering, modeling, and design.

Shilpi Harnal, PhD is an assistant professor at Chitkara University, Punjab. She specializes in cloud computing with over 13 years of teaching experience. She has published over 30 research papers in various national and international peer-reviewed journals, books, and conferences. Her research interests include fog computing, underwater wireless sensor networks (UWSN), and artificial intelligence.

De la contraportada

Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence offers a corpus on intelligent automation systems using computer vision and AI. This book will cover everything from foundational concepts to real-world applications and ethical considerations. The book covers the major role, current trends, challenges, and possible solutions to existing challenges. With the knowledgeable insights of this book, readers gain actionable knowledge with case studies and the integration of various techniques, like facial recognition and natural language processing.

This book contains 22 chapters on intelligent automation systems. The first section presents the study of intelligent automation systems, driven by artificial intelligence. This section further presents studies on the automation system and optimizing data flow management using AI algorithms. The second section provides a study of computer vision and how these systems automate tasks, like object recognition, image classification, and scene understanding. In addition, this section also explores the rapid advancements in computer vision and image processing and provides surveys on how AI enhances mental health services and patient outcomes. The third section explores the interconnection between neuroscience and artificial intelligence. Furthermore, this section provides studies of neural connections and how neuroscience aids in improving learning methods and validating AI models