Artificial Intelligence of Things in Smart Environments
Description
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.
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Other editions
Additional editions
Persons
M. Ouaissa, M. Ouaissa, University Meknes, Marocco; Z. Boulouard , Hassan II University, Marocco; Y. Maleh , Slimane University, Morocco.
Content
- Intro
- 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
