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9783031399312 - Embedded Machine Learning for Cyber-physical, Iot, and Edge Computing: Software Optimizations and Hardware/software Codesign (11 results)
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New.
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US$ 200.64
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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Software Optimizations and Hardware/Software Codesign
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing : Software Optimizations and Hardware/Software Codesign
Published by Springer Nature Switzerland, Springer International Publishing, 2023
ISBN 10: 3031399315 ISBN 13: 9783031399312
Language: English
US$ 255.50
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 todemonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.
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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing
Published by Springer Nature Switzerland, Springer Nature Switzerland Okt 2023, 2023
ISBN 10: 3031399315 ISBN 13: 9783031399312
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 255.50
Convert currencyUS$ 63.76 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 492 pp. Englisch.
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US$ 355.45
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Add to basketHardcover. Condition: Brand New. 491 pages. 9.25x6.10x1.30 inches. In Stock.
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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing
Published by Springer, Berlin|Springer Nature Switzerland|Springer, 2023
ISBN 10: 3031399315 ISBN 13: 9783031399312
Language: English
US$ 209.56
Convert currencyUS$ 56.79 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.
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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing
Published by Springer Nature Switzerland, Springer International Publishing Okt 2023, 2023
ISBN 10: 3031399315 ISBN 13: 9783031399312
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 255.50
Convert currencyUS$ 26.66 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 todemonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning. 492 pp. Englisch.
