£27.12

Springer Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

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Last 47 days · 47 data points (no recent data)

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£69.71 £22.86 £33.08 £43.30 £53.53 £63.75 £73.97 29 April 2026 10 May 2026 22 May 2026 02 June 2026 14 June 2026

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Price levels: 2 different prices over 47 days

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 Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 September 2024
Listed Since
03 September 2024

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