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

  • 2h 40m
  • Mariya Ouaissa, Mariyam Ouaissa, Yassine Maleh, Zakaria Boulouard
  • De Gruyter Inc
  • 2022

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.

About the Author

M. Ouaissa, University Meknes, Marocco; Z. Boulouard, Hassan II University, Marocco; Y. Maleh, Slimane University, Morocco.

In this Book

  • 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