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Edge Computing (Advances in Industry 4.0 and Machine Learning)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 78.26
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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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US$ 117.60
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US$ 128.13
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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing : Hardware Architectures
Published by Springer International Publishing, Springer International Publishing, 2024
ISBN 10: 3031195701 ISBN 13: 9783031195709
Language: English
US$ 108.90
Convert currencyUS$ 36.30 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. 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.
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US$ 169.64
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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 Nature Switzerland, 2024
ISBN 10: 303139934X ISBN 13: 9783031399343
Language: English
US$ 179.37
Convert currencyUS$ 36.84 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. 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 : Use Cases and Emerging Challenges
Published by Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031406796 ISBN 13: 9783031406799
Language: English
US$ 179.37
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent advances towards thegoal ofenabling efficient implementation ofmachine learning models onresource-constrained systems, covering different application domains. Thefocus is onpresenting interesting and new use cases ofapplying machine learning toinnovative application domains, exploring theefficient hardware design ofefficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques forenergy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques forachieving even greater energy, reliability, and performance benefits.Discusses efficient implementation ofmachine learning in embedded, CPS, IoT, and edge computing;Offers comprehensive coverage ofhardware design, software design, and hardware/software co-design and co-optimization;Describes real applications todemonstrate how embedded, CPS, IoT, and edge applications benefit frommachine learning.
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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use Cases and Emerging Challenges
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 235.35
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Smart Science and Technology Series: Natural computing. machine learning and image interpretation leading edge(Chinese Edition)
Published by Xidian University Press Pub. Date :2008-08-01, 2008
ISBN 10: 7560620477 ISBN 13: 9787560620473
US$ 62.50
Convert currencyUS$ 18.00 shipping from China to U.S.A.Quantity: 3 available
Add to basketSoft cover. Condition: New. Language:Chinese.English.Author:JIAO LI CHENG GONG MAO GUO WANG SHUANG.Binding:Soft cover.Publisher:Xidian University Press Pub. Date :2008-08-01.
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US$ 241.83
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2020-01-01 Pages: 706 Language: Chinese Publisher: Mechanical Industry Press Deep Neural Networks on Mobile Platforms (Principle Architecture and Optimization)/Intelligent Systems and Technology Series: Deep Neural Networks on Mobile Platforms (Principle Architecture and Optimization)/Intelligent Systems and Technology Series Intensively talks about the algorithm. instruction set. neural network design and actual combat. massive data processing. mainstream framework tailo.
