Artificial Intelligence of Things in Smart Environments : : Applications in Transportation and Logistics / / ed. by Mariyam Ouaissa, Zakaria Boulouard, Mariya Ouaissa, Yassine Maleh.

This book focuses on the use of AI/ML-based techniques to solve issues related to IoT-based environments, as well as their applications. It addresses, among others, signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application beha...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1
MitwirkendeR:
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Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2022]
©2022
Year of Publication:2022
Language:English
Series:De Gruyter Series on the Internet of Things ,
Online Access:
Physical Description:1 online resource (X, 153 p.)
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Description
Other title:Frontmatter --
Preface --
Contents --
About the editors --
Toward the Internet of vehicles: challenges and solutions --
AI-enabled communication protocols for vehicular ad hoc networks (VANETs): fundamentals and future challenges --
Applying machine learning algorithms to improve intrusion detection system in IoV --
Auto steering control in a self-driving car using deep learning model --
Semantic segmentation with transfer learning for self-driving cars --
An improved anomaly detection process in smart vehicle using a supervised ensemble-learning framework --
Survey on AI-based IoT and drone-equipped smart agriculture --
General parametric of four hybrid microconcentrator photovoltaic systems for electric car charging station --
The influence of social media in improving supply chain intelligence using deep learning --
Index
Summary:This book focuses on the use of AI/ML-based techniques to solve issues related to IoT-based environments, as well as their applications. It addresses, among others, signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defi ned networking, congestion control, communication network optimization, security, and anomaly detection.
Format:Mode of access: Internet via World Wide Web.
ISBN:9783110760477
9783110766820
9783110993899
9783110994810
9783110994223
9783110994193
ISSN:2626-5443
DOI:10.1515/9783110760477
Access:restricted access
Hierarchical level:Monograph
Statement of Responsibility: ed. by Mariyam Ouaissa, Zakaria Boulouard, Mariya Ouaissa, Yassine Maleh.