Machine Learning and Optimization Techniques for Automotive Cyber-Physical Sy...

[Farid-Khan]

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)


KatFile Link(s)

            
                
                
                    
                   ⚠
                    A kód megtekintéséhez jelentkezz be.
					Please log in to view the code.
                
            
        

NitroFlare Link(s) (Premium Link)

            
                
                
                    
                   ⚠
                    A kód megtekintéséhez jelentkezz be.
					Please log in to view the code.
                
            
        

RapidGator Link(s)

            
                
                
                    
                   ⚠
                    A kód megtekintéséhez jelentkezz be.
					Please log in to view the code.