TY - BOOK ID - 137691210 TI - Deep learning and its applications for vehicle networks AU - Hu, Fei AU - Rasheed, Iftikhar PY - 2023 SN - 9781003190691 9781032041377 9781032041384 PB - Boca Raton CRC Press DB - UniCat KW - Vehicular ad hoc networks (Computer networks) KW - Deep learning (Machine learning) UR - https://www.unicat.be/uniCat?func=search&query=sysid:137691210 AB - Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory prediction, location-prediction-based scheduling and routing, intelligent network congestion control mechanism, smart load balancing and vertical handoff control, intelligent network security strategies, virtual smart and efficient resource allocation and intelligent distributed resource allocation methods. This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts: 1. DL for vehicle safety and security, 2. DL for effective vehicle communications, 3. DL for vehicle control, 4. DL for information management, 5. Other applications. ER -