Cognitive Computing Using Green Technologies: Modeling Techniques and Applications

Cognitive Computing is a new topic that aims to simulate human thought processes using computers that self-learn through data mining, pattern recognition, and natural language processing. This book focuses on the applications of Cognitive Computing in areas like Robotics, Blockchain, Deep Learning, and Wireless Technologies. It covers the basics of Green Computing, discusses Cognitive Science methodologies in Robotics, Computer Science, Wireless Networks, and Deep Learning, and presents empirical data and research techniques, modeling techniques, and a data-driven approach to decision-making and problem-solving. It is written for researchers, academics, undergraduate and graduate students, and industry persons working on current applications of Cognitive Computing.

Format: Hardback
Length: 280 pages
Publication date: 05 February 2021
Publisher: Taylor & Francis Ltd

Cognitive Computing is a groundbreaking field that seeks to replicate human cognitive processes through the utilization of computers that possess the ability to self-learn through data mining, pattern recognition, and natural language processing. This comprehensive book delves into the diverse applications of Cognitive Computing in domains such as Robotics, Blockchain, Deep Learning, and Wireless Technologies.

In the realm of Green Computing, this book provides an introductory overview, exploring Cognitive Science methodologies in Robotics, Computer Science, Wireless Networks, and Deep Learning. It then proceeds to present empirical data and research techniques, modeling methodologies, and offers a data-driven approach to decision-making and problem-solving.

Designed with researchers, academics, undergraduate and graduate students, and industry professionals in mind, this book serves as a valuable resource for those actively engaged in the current applications of Cognitive Computing.

Weight: 584g
Dimension: 163 x 241 x 25 (mm)
ISBN-13: 9780367487966