Machine Learning And Optimization Techniques For Automotive Cyber Physical Systems
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Machine Learning And Optimization Techniques For Automotive Cyber Physical Systems
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Author : Vipin Kumar Kukkala
language : en
Publisher: Springer Nature
Release Date : 2023-09-01
Machine Learning And Optimization Techniques For Automotive Cyber Physical Systems written by Vipin Kumar Kukkala and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-01 with Technology & Engineering categories.
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.
Sustainable Smart Cities And The Future Of Urban Development
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Author : Al-Humairi, Safaa Najah Saud
language : en
Publisher: IGI Global
Release Date : 2024-12-05
Sustainable Smart Cities And The Future Of Urban Development written by Al-Humairi, Safaa Najah Saud and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-05 with Political Science categories.
As global urbanization continues to accelerate, smart cities emerge as a strategy to address the complexities of modern urban life. These cities invest in human and social capital, communication, infrastructure, and technology to drive sustainable economic growth and ensure a high quality of life. Participatory governance plays a crucial role in managing natural and man-made resources effectively. Driven by a growing global population and a pressing need to address environmental concerns, the concept of a “smart city” has emerged as a potential solution. Sustainable Smart Cities and the Future of Urban Development delves into the exciting intersection of sustainable development and smart city technologies, exploring how these forces can be harnessed to shape a more livable and resilient future for our urban environments. Through a multidisciplinary lens, this book explores the concept of sustainable smart cities by elucidating their fundamental characteristics and components. Covering topics such as artificial intelligence (AI), renewable energy, and waste management, this book is an excellent resource for urban planners, architects, technology developers, innovators, community leaders, industry professionals, academicians, researchers, and more.
The Proceedings Of 2024 International Conference On Artificial Intelligence And Autonomous Transportation
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Author : Jun Liu
language : en
Publisher: Springer Nature
Release Date : 2025-04-01
The Proceedings Of 2024 International Conference On Artificial Intelligence And Autonomous Transportation written by Jun Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-01 with Technology & Engineering categories.
This book reflects the latest research trends, methods and experimental results in the field of Artificial Intelligence and Autonomous Transportation, which covers abundant state-of-the-art research theories and ideas. As a vital research area that is highly relevant to current developments in a number of technological domains, the topics covered include Autonomous Transportation Systems, Autonomous Transportation Management and Control Technology, Autonomous Transportation Equipment Technology, Vehicular Networking and Information Security, Emerging Technologies and Future Mobility, Intelligent water transportation technology, Cross-Domain Transportation Technology, and so on. The goal of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academics, and industry professionals to present the most innovative research and development in the field of Artificial Intelligence and Autonomous Transportation. Engineers and researchers from academia, industry, and government will also explore an insight view of the solutions that combine ideas from multiple disciplines in this area. The volumes serve as an excellent reference work for researchers and graduate students working in the areas of rail transportation, electrical engineering, and information technology.
Intelligent Techniques For Cyber Physical Systems
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Author : Mohammad Sajid
language : en
Publisher: CRC Press
Release Date : 2023-10-20
Intelligent Techniques For Cyber Physical Systems written by Mohammad Sajid and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-20 with Technology & Engineering categories.
Intelligent Techniques for Cyber-Physical Systems covers challenges, opportunities, and open research directions for cyber-physical systems (CPS). It focuses on the design and development of machine learning and metaheuristics-enabled methods as well as blockchain for various challenges like security, resource management, computation offloading, trust management, and others in edge, fog, and cloud computing, Internet of Things (IoT), Internet of Everything (IoE), and smart cities. It also includes the design and analysis of deep learning-based models, sensing technologies, metaheuristics, and blockchain for complex real-life systems for CPS. Offers perspectives on the research directions in CPS; Provides state-of-the-art reviews on intelligent techniques, machine learning, deep learning, and reinforcement learning-based models for cloud-enabled IoT environment; Discusses intelligent techniques for complex real-life problems in different CPS scenarios; Reviews advancements in blockchain technology and smart cities; Explores machine learning-based intelligent models for combinatorial optimization problems. The book is aimed at researchers and graduate students in computer science, engineering, and electrical and electronics engineering.
Embedded Machine Learning For Cyber Physical Iot And Edge Computing
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Author : Sudeep Pasricha
language : en
Publisher: Springer Nature
Release Date : 2023-10-06
Embedded Machine Learning For Cyber Physical Iot And Edge Computing written by Sudeep Pasricha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-06 with Technology & Engineering categories.
This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits. Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing; Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization; Describes real applications to demonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.
Cyber Physical Vehicle Systems
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Author : Chen Lv
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Cyber Physical Vehicle Systems written by Chen Lv and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Technology & Engineering categories.
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. First, in Chapter 1, key challenges and state-of-the-art of vehicle design and control in the context of cyber-physical systems are introduced. In Chapter 2, a cyber-physical system (CPS) based framework is proposed for high-level co-design optimization of the plant and controller parameters for CPVS, in view of vehicle's dynamic performance, drivability, and energy along with different driving styles. System description, requirements, constraints, optimization objectives, and methodology are investigated. In Chapter 3, an Artificial-Neural-Network-based estimation method is studied for accurate state estimation of CPVS. In Chapter 4, a high-precision controller is designed for a safety-critical CPVS. The detailed control synthesis and experimental validation are presented. The application results presented throughout the book validate the feasibility and effectiveness of the proposed theoretical methods of design, estimation, control, and optimization for cyber-physical vehicle systems.
Machine Learning For Cyber Physical System Advances And Challenges
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Author : Janmenjoy Nayak
language : en
Publisher: Springer Nature
Release Date : 2024-04-11
Machine Learning For Cyber Physical System Advances And Challenges written by Janmenjoy Nayak and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-11 with Computers categories.
This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart machine learning solutions to detect various cybersecurity problems and make the users to understand in combating malware, detect spam, and fight financial fraud to mitigate cybercrimes. With an effective analysis of cyber-physical data, it consists of the solution for many real-life problems such as anomaly detection, IoT-based framework for security and control, manufacturing control system, fault detection, smart cities, risk assessment of cyber-physical systems, medical diagnosis, smart grid systems, biometric-based physical and cybersecurity systems using advance machine learning approach. Filling an important gap between machine learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical advance machine learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity.
Applied Linear Algebra
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Author : Kartikeya Dutta
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Applied Linear Algebra written by Kartikeya Dutta and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Science categories.
"Applied Linear Algebra: Core Principles" is a comprehensive guide that delves into the principles, methodologies, and practical applications of linear algebra in various fields of science, engineering, and technology. Combining theoretical foundations, computational techniques, and real-world examples, this book offers a holistic approach to understanding and utilizing linear algebra concepts. Covering a wide range of topics, including vector spaces, matrices, eigenvalue problems, singular value decomposition, and numerical techniques, readers will gain a thorough understanding of both fundamental and advanced principles. Real-world applications in data science, machine learning, signal processing, control systems, and image processing are integrated throughout, demonstrating the practical relevance of linear algebra. Complex mathematical concepts are presented in a clear and accessible manner, making the book suitable for students, researchers, and practitioners with varying levels of mathematical background. Detailed explanations, illustrative examples, and step-by-step solutions aid comprehension and retention. An interdisciplinary approach connects theoretical concepts with practical applications, highlighting the versatility of linear algebra in solving real-world problems. Extensive references to literature, research papers, and online resources enable readers to explore topics in greater depth. This book is an invaluable resource for students, researchers, and professionals seeking to apply linear algebra techniques in their work across various domains.
Artificial Intelligence Ecai 2023 International Workshops
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Author : Sławomir Nowaczyk
language : en
Publisher: Springer Nature
Release Date : 2024-01-20
Artificial Intelligence Ecai 2023 International Workshops written by Sławomir Nowaczyk and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-20 with Computers categories.
This volume constitutes the refereed proceedings presented at the international workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023, which was held in Kraków, Poland, in September-October 2023. The papers in this volume were presented at the following workshops: XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI.
Design Optimization Using Artificial Intelligence
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Author : Satya Ranjan Mishra
language : en
Publisher: CRC Press
Release Date : 2025-06-24
Design Optimization Using Artificial Intelligence written by Satya Ranjan Mishra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Technology & Engineering categories.
Design Optimization Using Artificial Intelligence serves as an insightful resource for understanding the transformative role of Artificial Intelligence (AI) in optimizing design processes across a variety of fields. This book explores foundational concepts, advanced methodologies, and real-world applications, offering a comprehensive guide to leveraging AI for innovative design solutions. Covering a broad spectrum of topics, the book examines algorithmic advancements, machine learning techniques, and optimization strategies that enhance design efficiency and accuracy. It delves into AI's applications in sustainable energy systems, biomedical innovations, image processing, cyber-security, and other critical domains, showcasing its ability to solve complex challenges with precision and creativity. The content bridges theoretical foundations with practical implementations, incorporating case studies that highlight successful applications of AI-driven design optimization. Readers will gain valuable insights into state-of-the-art tools, programming techniques, and frameworks that drive advancements in intelligent design systems. Features: Explores AI-driven methodologies for enhancing design accuracy and efficiency Discusses advanced machine learning techniques and optimization algorithms Highlights AI's applications in diverse fields such as energy systems, healthcare, image processing, and cyber-security Includes in-depth case studies to illustrate real-world implementations of AI in design optimization Investigates future trends and the potential of AI to transform traditional design processes Targeted at researchers, engineers, and students in the fields of artificial intelligence, computational science, and engineering, this book is an essential reference for anyone seeking to understand and utilize AI in the realm of design optimization. It provides the tools and knowledge necessary to harness AI's power for innovative, efficient, and intelligent design solutions.