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Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

Edited by Vipin Kumar Kukkala, Edited by Sudeep Pasricha

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normal price: R 4 122.95

Price: R 3 916.95


| book description |

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.

| product details |



Normally shipped | Usually dispatched in 3 to 4 weeks as supplier is out of stock
Publisher | Springer International Publishing AG
Published date | 3 Sep 2024
Language |
Format | Paperback / softback
Pages | 789
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0312-8018-4
Readership Age |
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