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
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Toward the Internet of Vehicles—Challenges and Solutions
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AI-Enabled Communication Protocols for Vehicular Ad Hoc Networks (VANETs)—Fundamentals and Future Challenges
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Applying Machine Learning Algorithms to Improve Intrusion Detection System in IoV
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Auto Steering Control in a Self-Driving Car Using Deep Learning Model
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Semantic Segmentation With Transfer Learning for Self-Driving Cars
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An Improved Anomaly Detection Process in Smart Vehicle Using a Supervised Ensemble-Learning Framework
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Survey on AI-Based IoT and Drone-Equipped Smart Agriculture
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General Parametric of Four Hybrid Microconcentrator Photovoltaic Systems for Electric Car Charging Station
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The Influence of Social Media in Improving Supply Chain Intelligence Using Deep Learning
