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Shulph Ink

Artificial Intelligence of Things in Smart Environments: Applications in Transportation and Logistics

Artificial Intelligence of Things in Smart Environments: Applications in Transportation and Logistics

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This book discusses the use of AI/ML-based techniques to solve IoT-based environment issues and their applications, including signal detection, channel modeling, resource optimization, routing protocol design, and more.

Format: Hardback
Length: 163 pages
Publication date: 07 March 2022
Publisher: De Gruyter

This comprehensive book delves into the realm of leveraging AI/ML-based techniques to address a wide range of challenges in IoT-based environments. It explores various applications, including signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defined networking, congestion control, communication network optimization, security, and anomaly detection. By exploring these topics, the book provides valuable insights and solutions for developing efficient and secure IoT systems.
This comprehensive book delves into the realm of leveraging AI/ML-based techniques to address a wide range of challenges in IoT-based environments. It explores various applications, including signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defined networking, congestion control, communication network optimization, security, and anomaly detection. By exploring these topics, the book provides valuable insights and solutions for developing efficient and secure IoT systems.

The book begins by introducing the basics of IoT and its various components, including sensors, devices, and networks. It then discusses the challenges faced in IoT environments, such as limited resources, heterogeneous devices, and security threats.

To address these challenges, the book introduces AI/ML-based techniques such as signal processing, pattern recognition, and machine learning. It explains how these techniques can be used to detect and classify signals, model channels, optimize resources, and design efficient routing protocols.

The book also covers topics such as user/application behavior prediction, software-defined networking, congestion control, communication network optimization, security, and anomaly detection. It provides detailed explanations of these techniques and their applications in IoT environments.

Throughout the book, real-world examples and case studies are used to illustrate the practical applications of AI/ML-based techniques in IoT. These examples help readers understand how these techniques can be implemented in various industries and applications.

In conclusion, this book is a valuable resource for researchers, engineers, and practitioners interested in developing intelligent and secure IoT systems. It provides a comprehensive overview of AI/ML-based techniques and their applications in IoT, and helps readers gain a deep understanding of the challenges and opportunities in this field.


Dimension: 240 x 170 (mm)
ISBN-13: 9783110755336

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