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Machine Learning and Optimization Techniques for Automotive Cyber-Physical Sy... - Farid - 09-04-2023
![[Image: wx5ifmky05v2.jpg]](https://i.postimg.cc/wHjsZPdF/wx5ifmky05v2.jpg)
Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems | 782 | Vipin Kumar Kukkala, Sudeep Pasricha | 2023 | Springer International Publishing |
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.
Contents of Download:
978-3-031-28016-0.epub (98.47 MB)
978-3-031-28016-0.pdf (32.07 MB)
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