Convergence of Deep Learning and Internet of Things: Computing and Technology - Hardcover

Hardcover

ISBN 10: 1668462753 ISBN 13: 9781668462751

Publisher: Engineering Science Reference, 2022

Synopsis

Digital technology has enabled a number of internet-enabled devices that generate huge volumes of data from different systems. This large amount of heterogeneous data requires efficient data collection, processing, and analytical methods. Deep Learning is one of the latest efficient and feasible solutions that enable smart devices to function independently with a decision-making support system. Convergence of Deep Learning and Internet of Things: Computing and Technology contributes to technology and methodology perspectives in the incorporation of deep learning approaches in solving a wide range of issues in the IoT domain to identify, optimize, predict, forecast, and control emerging IoT systems. Covering topics such as data quality, edge computing, and attach detection and prediction, this premier reference source is a comprehensive resource for electricians, communications specialists, mechanical engineers, civil engineers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

Edition details

• Publisher: Engineering Science Reference
• Publication date: 2022
• Language: English
• ISBN 10: 1668462753
• ISBN 13: 9781668462751
• Binding: Hardcover
• Number of pages: 335
• Editor: Kavitha T., Senbagavalli G., Koundal Deepika, Guo Yanhui, Jain Deepak