Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing write by Sudeep Pasricha. This book was released on 2023-10-09. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing available in PDF, EPUB and Kindle. 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.
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing write by Sudeep Pasricha. This book was released on 2023-10-09. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing available in PDF, EPUB and Kindle. 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.
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing write by Sudeep Pasricha. This book was released on 2023-11-07. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing available in PDF, EPUB and Kindle. 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.
Machine Learning for Cyber Physical Systems
Machine Learning for Cyber Physical Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning for Cyber Physical Systems write by Jürgen Beyerer. This book was released on 2020-12-23. Machine Learning for Cyber Physical Systems available in PDF, EPUB and Kindle. This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.
Smart Cyber Physical Systems
Smart Cyber Physical Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Smart Cyber Physical Systems write by G.R. Karpagam. This book was released on 2020-12-02. Smart Cyber Physical Systems available in PDF, EPUB and Kindle. Smart Cyber Physical Systems: Advances, Challenges and Opportunities ISBN: 9780367337889 Cyber Physical Systems (CPS) are the new generation of collaborative computational entities, with a prime focus on integration of the physical world and cyber space. Through a feedback mechanism, the system adapts itself to new conditions in real time. The scope of this book includes research experience by experts in CPS infrastructure systems, incorporating sustainability by embedding computing and communication in day-to-day applications. CPS, integrated with Blockchain, Artificial Intelligence, Internet of Things, Big Data, Cloud Computing and Communication, lay a foundation for the fourth industrial revolution, Industry 4.0. This book will be of immense use to practitioners in industries with a focus on autonomous and adaptive configuration, and on optimization, leading to increased agility, elasticity and cost effectiveness. The contributors of this book include renowned academics, industry practitioners and researchers. It offers a rigorous introduction to the theoretical foundations, techniques and practical solutions, through case studies. Building CPS with effective communication, control, intelligence and security is discussed in terms of societal and research perspectives. The objective of this book is to provide a forum for researchers and practitioners to exchange ideas and to achieve progress in CPS by highlighting applications, advances and research challenges. It is highly recommended to be used as a reference book for graduate and post-graduate level programmes in universities, with a focus on research in computer science-related courses.
