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Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

Name: Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems
Brand: Springer, Berlin
SKU: 9783031280153
Price: 2679 CZK
Availability: InStock

Autor: Vipin Kumar Kukkala, Sudeep Pasricha

Jazyk:

Vazba: Pevná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

Odesíláme za 10-13 dnů

2 679 Kč

This book provides comprehensive coverage of various solutions that address issues related to real-t...

Informace o knize

Autor

Vipin Kumar Kukkala, Sudeep Pasricha

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2023

Stránek

808

EAN

9783031280153

Enbook ID

42879568

Vydavatel

Springer, Berlin

Hmotnost

1296

Rozměry

155 x 235

Kompletní popis

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.

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Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

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