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Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems, Kukkala


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Цена: 13415.00р.
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При оформлении заказа до: 2026-06-01
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Автор: Kukkala
Название:  Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems
ISBN: 9783031280153
Издательство: Springer
Классификация:

ISBN-10: 3031280156
Обложка/Формат: Hardback
Вес: 0.00 кг.
Дата издания: 16.09.2023
Язык: English
Основная тема: Engineering
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: 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.
Дополнительное описание: Chapter 1 Reliable Real-time Message Scheduling in Automotive Cyber-Physical Systems.- Chapter 2 Evolvement of Scheduling Theories for Autonomous Vehicles.- Chapter 3 Distributed Coordination and Centralized Scheduling for Automobiles at Intersections.- C



Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

Автор: Kukkala
Название: Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems
ISBN: 3031280164 ISBN-13(EAN): 9783031280160
Издательство: Springer
Рейтинг:
Цена: 13415.00 р.
Наличие на складе: Нет в наличии.

Optimization of Trustworthy Biomolecular Quantitative Analysis Using Cyber-Physical Microfluidic Platforms

Автор: Ibrahim, Mohamed , Chakrabarty, Krishnendu
Название: Optimization of Trustworthy Biomolecular Quantitative Analysis Using Cyber-Physical Microfluidic Platforms
ISBN: 036722352X ISBN-13(EAN): 9780367223526
Издательство: Taylor&Francis
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Цена: 19140.00 р.
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Описание: This book creates a new research field as it bridges the technical skills gap between microfluidic systems and molecular biology protocols but viewed from the perspective of an electronic/systems engineer.

Multi-Objective Optimization in Physical Synthesis of Integrated Circuits

Автор: David A. Papa; Igor L. Markov
Название: Multi-Objective Optimization in Physical Synthesis of Integrated Circuits
ISBN: 1493900803 ISBN-13(EAN): 9781493900800
Издательство: Springer
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Цена: 13677.00 р.
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Описание: As well as explaining how to integrate chip optimizations in powerful new ways, this comprehensive introduction to physical synthesis takes the reader methodically from first principles to state-of-the-art optimizations used in cutting-edge industrial tools.

Artificial Intelligence and Industrial Applications: Artificial Intelligence Techniques for Cyber-Physical, Digital Twin Systems and Engineering Appli

Автор: Masrour Tawfik, El Hassani Ibtissam, Cherrafi Anass
Название: Artificial Intelligence and Industrial Applications: Artificial Intelligence Techniques for Cyber-Physical, Digital Twin Systems and Engineering Appli
ISBN: 3030539695 ISBN-13(EAN): 9783030539696
Издательство: Springer
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Цена: 30491.00 р.
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Описание: A Study of Energy Reduction Strategies in Renewable Hybrid Grid.- Classification and Watermarking of Brain Tumor using Artificial and Convolutional Neural Networks.- A Proposal for a Deep Learning Model to Enhance Student Guidance and Reduce Dropout.- EduBot: An Unsupervised Domain-Specific Chatbot for Educational Institutions.- SQL Generation from Natural Language using Supervised Learning and Recurrent Neural Networks.- Toward Intelligent Solution to Identify Learner Attitude from Source Code.

Data Processing Techniques and Applications for Cyber-Physical Systems (Dpta 2019)

Автор: Huang Chuanchao, Chan Yu-Wei, Yen Neil
Название: Data Processing Techniques and Applications for Cyber-Physical Systems (Dpta 2019)
ISBN: 9811514674 ISBN-13(EAN): 9789811514678
Издательство: Springer
Цена: 36589.00 р.
Наличие на складе: Нет в наличии.

Описание: Gathering the proceedings of the International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019), held in Shanghai, China on November 15-16, 2019, it examines a wide range of topics, including: distributed processing for sensor data in CPS networks;

Cyber-Physical Microgrids

Автор: Li Yan
Название: Cyber-Physical Microgrids
ISBN: 3030807231 ISBN-13(EAN): 9783030807238
Издательство: Springer
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Цена: 7927.00 р.
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Описание: This textbook provides students with an overview of cyber-physical microgrid networks and an in-depth introduction to photovoltaics, batteries, flywheel, supercapacitor, micro-turbines, wind generation, power-electronic interfaces, modeling and stability analysis of microgrids, and cyber-communication networks and security.

Cyber-Physical Vehicle Systems

Автор: Lv, Chen Xing, Yang Zhang, Junzhi Cao, Dongpu
Название: Cyber-Physical Vehicle Systems
ISBN: 3031003764 ISBN-13(EAN): 9783031003769
Издательство: Springer
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Цена: 4024.00 р.
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Описание: This book studies the design optimization, state estimation, and advanced control methods for cyber-physical vehicle systems (CPVS) and their applications in real-world automotive systems.

Intelligent Techniques for Cyber-Physical Systems

Автор: Sajid, Mohammad ; Kumar Sagar, Anil ; Singh, Jagen
Название: Intelligent Techniques for Cyber-Physical Systems
ISBN: 1032452862 ISBN-13(EAN): 9781032452869
Издательство: Taylor&Francis
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Цена: 20671.00 р.
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Advanced Memory Optimization Techniques for Low-Power Embedded Processors

Автор: Manish Verma; Peter Marwedel
Название: Advanced Memory Optimization Techniques for Low-Power Embedded Processors
ISBN: 9048174716 ISBN-13(EAN): 9789048174713
Издательство: Springer
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Цена: 17096.00 р.
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Описание: This book proposes novel memory hierarchies and software optimization techniques for the optimal utilization of memory hierarchies. It presents a wide range of optimizations, progressively increasing in the complexity of analysis and of memory hierarchies.

Dynamic Reconfigurable Architectures and Transparent Optimization Techniques

Название: Dynamic Reconfigurable Architectures and Transparent Optimization Techniques
ISBN: 9400790732 ISBN-13(EAN): 9789400790735
Издательство: Springer
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Цена: 13677.00 р.
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Описание: This book provides a clear review of static and dynamic architecture optimization strategies in the field of reconfigurable computing. It includes a number of case studies and a quantitative analysis of the DIM architecture.

Design-for-Test and Test Optimization Techniques for TSV-based 3D Stacked ICs

Автор: Brandon Noia; Krishnendu Chakrabarty
Название: Design-for-Test and Test Optimization Techniques for TSV-based 3D Stacked ICs
ISBN: 3319023772 ISBN-13(EAN): 9783319023779
Издательство: Springer
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Цена: 14818.00 р.
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Описание: This volume encompasses the latest, innovative methods of testing three-dimensional integrated circuits, incorporating pre-bond and post-bond tests as well as the test optimization and scheduling necessary to ensure that 3D testing remains cost-effective.

Automotive Air Conditioning

Автор: Zhang
Название: Automotive Air Conditioning
ISBN: 3319335898 ISBN-13(EAN): 9783319335896
Издательство: Springer
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Цена: 15855.00 р.
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Описание: This book presents research advances in automotive AC systems using an interdisciplinary approach combining both thermal science, and automotive engineering. It covers a variety of topics, such as: control strategies, optimization algorithms, and diagnosis schemes developed for when automotive air condition systems interact with powertrain dynamics. In contrast to the rapid advances in the fields of building HVAC and automotive separately, an interdisciplinary examination of both areas has long been neglected. The content presented in this book not only reveals opportunities when interaction between on-board HVAC and powertrain is considered, but also provides new findings to achieve performance improvement using model-based methodologies.


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