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Real-Time Intelligence for Heterogeneous Networks - Applications, Challenges, and Scenarios in IoT HetNets (Hardcover, 1st ed. 2021) Loot Price: R4,740
Discovery Miles 47 400
Real-Time Intelligence for Heterogeneous Networks - Applications, Challenges, and Scenarios in IoT HetNets (Hardcover, 1st ed....

Real-Time Intelligence for Heterogeneous Networks - Applications, Challenges, and Scenarios in IoT HetNets (Hardcover, 1st ed. 2021)

Fadi Al-Turjman

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Loot Price R4,740 Discovery Miles 47 400 | Repayment Terms: R444 pm x 12*

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This book discusses several exciting research topics and applications in the intelligent Heterogenous Networks (Het-Net) and Internet of Things (IoT) era. We are resolving significant issues towards realizing the future vision of the Artificial Intelligence (AI) in IoT-enabled spaces. Such AI-powered IoT solutions will be employed in satisfying critical conditions towards further advances in our daily smart life. This book overviews the associated issues and proposes the most up to date alternatives. The objective is to pave the way for AI-powered IoT-enabled spaces in the next generation Het-Net technologies and open the door for further innovations. The book presents the latest advances and research into heterogeneous networks in critical IoT applications. It discusses the most important problems, challenges, and issues that arise when designing real-time intelligent heterogeneous networks for diverse scenarios.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: September 2021
First published: 2021
Editors: Fadi Al-Turjman
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 175
Edition: 1st ed. 2021
ISBN-13: 978-3-03-075613-0
Categories: Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN: 3-03-075613-0
Barcode: 9783030756130

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