Deep learning and its applications for vehicle networks. (2023)

• Record Type: Book
• Further Information: Note: Edited by Fei Hu, Iftikhar Rasheed.
• Editors: Hu, Fei, 1972-; Rasheed, Iftikhar
• Contents: PART I Deep learning for vehicle safety and security 1 Deep learning for vehicle safety Raiyan Talkhani, Tao Huang, Shushi Gu, Zhaoxia Guo, Guanglin Zhang and Wei Xiang 2 Deep learning for driver drowsiness classification for a safe vehicle application Sadegh Arefnezhad and Arno Eichberger 3 A deep learning perspective on Connected Automated Vehicle (CAV) cybersecurity and threat intelligence Manoj Basnet and Mohd Hasan Ali PART II Deep learning for vehicle communications 4 Deep learning for UAV network optimization Jian Wang, Yongxin Liu, Shuteng Niu and Houbing Song 5 State-of-the-art in PHY layer deep learning for future wireless communication systems and networks Konstantinos Koufos, Karim El Haloui, Cong Zhou, Valerio Frascolla and Mehrdad Dianati 6 Deep learning-based index modulation systems for vehicle communications Junfeng Wang, Yue Cui, Zeyad A. H. Qasem, Haixin Sun, Guangjie Han and Mohsen Guizani 7 Deep reinforcement learning applications in connected-automated transportation systems H. M. Abdul Aziz and Sanjoy Das PART III Deep learning for vehicle control 8 Vehicle emission control on road with temporal traffic information using deep reinforcement learning Zhenyi Xu, Yang Cao, Yu Kang and Zhenyi Zhao 9 Load prediction of an electric vehicle charging pile Peng Shurong, Peng Jiayi, Yang Yunhao and Li Bin 10 Deep learning for autonomous vehicles: a vision-based approach to selfadapted robust control Gustavo A. Prudencio de Morais, Lucas Barbosa Marcos, José Nuno A. D. Bueno, Marco Henrique Terra and Valdir Grassi Junior PART IV DL for information management 11 A natural language processing-based approach for automating IoT search Cheng Qian, William Grant Hatcher, Weichao Gao, Erik Balsch, Chao Lu and Wei Yu 12 Towards incentive-compatible vehicular crowdsensing: a reinforcement learning-based approach Xinxin Yang and Bo Gu 13 Sub-signal detection from noisy complex signals using deep learning and mathematical morphology Jie Wei, Hamilton Clouse and Ashley Diehl PART V Miscellaneous 14 The basics of deep learning algorithms and their effect on driving behavior and vehicle communications Abdennour Najmeddine, Ouni Tarek and Ben Amor Nader 15 Integrated simulation of deep learning, computer vision and physical layer of UAV and ground vehicle networks Aldebaro Klautau, Ilan Correa, Felipe Bastos, Ingrid Nascimento, João Borges, Ailton Oliveira, Pedro Batista and Silvia Lins
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2023
• Extent: 1 online resource (342 pages), illustrations (black and white)
• Subjects: 006.31; Vehicular ad hoc networks (Computer networks); Deep learning (Machine learning)
• Languages: English
• ISBNs: 9781000877250; 9781000877236
• Related ISBNs: 9781032041377
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.