Автор: S. Kanimozhi Suguna, M. Dhivya, Sara Paiva
Издательство: CRC Press
Серия: Artificial Intelligence (AI): Elementary to Advanced Practices
Год: 2021
Страниц: 331
Язык: английский
Формат: pdf (true)
Размер: 26.6 MB
This book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Artificial Intelligence. The book provides a premier interdisciplinary platform to present practical challenges and adopted solutions.
The book addresses the complete functional framework workflow in Artificial Intelligence technology. It explores the basic and high-level concepts and can serve as a manual for the industry for beginners and the more advanced. It covers intelligent and automated systems and its implications to the real-world, and offers data acquisition and case studies related to data-intensive technologies in AI-based applications.
Artificial intelligence has embarked its niche in all fields of engineering and the dissemination is seemingly important in interdisciplinary research. This book serves as a background for covering the basic principles of AI; it elaborates the concepts of artificial intelligence to counterfeit human intelligence, which requires learning and reasoning.
The book encompasses both the theoretical aspects and recent trends of AI incorporated with Deep Learning strategies towards Smart city, Smart Grid, image processing and computer vision, robotics, instrumentation and automation, etc. The readers will benefit from the exhaustive range of applications in all fields of engineering presented in this book.
The book will be of interest to researchers, professionals, scientists, professors, students of computer science engineering, electronics and communications, as well as information technology.
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