Deep Learning and Edge Computing for Internet of Things

Author:   Shaohua Wan ,  Yirui Wu
Publisher:   Mdpi AG
ISBN:  

9783725829958


Pages:   212
Publication Date:   05 March 2025
Format:   Hardback
Availability:   Available To Order   Availability explained
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Deep Learning and Edge Computing for Internet of Things


Overview

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.

Full Product Details

Author:   Shaohua Wan ,  Yirui Wu
Publisher:   Mdpi AG
Imprint:   Mdpi AG
Dimensions:   Width: 17.00cm , Height: 1.80cm , Length: 24.40cm
Weight:   0.671kg
ISBN:  

9783725829958


ISBN 10:   3725829950
Pages:   212
Publication Date:   05 March 2025
Audience:   General/trade ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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