Deep Learning and Edge Computing for Internet of Things (Hardcover)

Shaohua Wan

ISBN 10: 3725829950 / ISBN 13: 9783725829958

Published by Mdpi AG, 2025

About this Item

Hardcover. The evolution of 5G and Internet of Things (IoT) technologies is leading to ubiquitous connections between humans and their environment, such as autopilot transportation, mobile e-commerce, unmanned vehicles, and healthcare applications, bringing revolutionary changes to our daily lives. Moreover, the computing environment results in the requirement for support of an increasing range of functionality: multi-sensory data processing and analysis, complex systems control strategies, and, ultimately, artificial intelligence. After several years of development, edge computing for deep learning has shown incomparable practical value in the IoT environment. Pushing computing resources to the edge in closer proximity to devices enables low-latency service delivery for both safety and applications. This Special Issue, "Deep Learning and Edge Computing for Internet of Things", addresses existing awareness of the surrounding environment and support for services in the advanced development of smart scheduling, privacy protection, and environment-aware ability globally. It includes eleven peer-reviewed papers that focus on deep learning and edge computing for the Internet of Things. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Seller Inventory # 9783725829958

Bibliographic Details

• Title: Deep Learning and Edge Computing for Internet of Things (Hardcover)
• Publisher: Mdpi AG
• Publication Date: 2025
• Language: English
• ISBN 10: 3725829950
• ISBN 13: 9783725829958
• Binding: Hardcover
• Condition: new

About this title

Synopsis

The evolution of 5G and Internet of Things (IoT) technologies is leading to ubiquitous connections between humans and their environment, such as autopilot transportation, mobile e-commerce, unmanned vehicles, and healthcare applications, bringing revolutionary changes to our daily lives. Moreover, the computing environment results in the requirement for support of an increasing range of functionality: multi-sensory data processing and analysis, complex systems control strategies, and, ultimately, artificial intelligence. After several years of development, edge computing for deep learning has shown incomparable practical value in the IoT environment. Pushing computing resources to the edge in closer proximity to devices enables low-latency service delivery for both safety and applications. This Special Issue, "Deep Learning and Edge Computing for Internet of Things", addresses existing awareness of the surrounding environment and support for services in the advanced development of smart scheduling, privacy protection, and environment-aware ability globally. It includes eleven peer-reviewed papers that focus on deep learning and edge computing for the Internet of Things.