Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems
2023 ed.
Book Details
Format
Paperback / Softback
ISBN-10
3031280180
ISBN-13
9783031280184
Edition
2023 ed.
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 3rd, 2024
Print length
789 Pages
Weight
1,176 grams
Dimensions
23.40 x 15.50 x 4.70 cms
Ksh 13,500.00
Publisher Out of Stock
0 in stock
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This book provides comprehensive coverage of various solutions that address issues related to real-time performance, security, and robustness in emerging automotive platforms.
This book provides comprehensive coverage of various solutions that address issues related to real-time performance, security, and robustness in emerging automotive platforms. The authors discuss recent advances towards the goal of enabling reliable, secure, and robust, time-critical automotive cyber-physical systems, using advanced optimization and machine learning techniques. The focus is on presenting state-of-the-art solutions to various challenges including real-time data scheduling, secure communication within and outside the vehicle, tolerance to faults, optimizing the use of resource-constrained automotive ECUs, intrusion detection, and developing robust perception and control techniques for increasingly autonomous vehicles.
Get Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer International Publishing AG and it has pages.
