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Condition: As New. Unread book in perfect condition.
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Deep Learning for Internet of Things Infrastructure (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032064706 ISBN 13: 9781032064703
Language: English
Paperback. Condition: new. Paperback. This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things Infrastructure addresses emerging trends and issues on IoT systems and services across various application domains. The book investigates the challenges posed by the implementation of deep learning on IoT networking models and services. It provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT. The book also explores new functions and technologies to provide adaptive services and intelligent applications for different end users.FEATURES Promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of DL-based data analytics of IoT infrastructures Addresses emerging trends and issues on IoT systems and services across various application domains Investigates the challenges posed by the implementation of deep learning on IoT networking models and services Provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT Explores new functions and technologies to provide adaptive services and intelligent applications for different end usersUttam Ghosh is an Assistant Professor in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA.Mamoun Alazab is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia.Ali Kashif Bashir is a Senior Lecturer/Associate Professor and Program Leader of BSc (H) Computer Forensics and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, United Kingdom.Al-Sakib Khan Pathan is an Adjunct Professor of Computer Science and Engineering at the Independent University, Bangladesh. This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)-based data analytics of IoT (Internet of Things) infrastructures. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Deep Sciences for Computing and Communications: First International Conference, IconDeepCom 2022, Chennai, India, March 17-18, 2022, Revised Selected Papers
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Deep Sciences for Computing and Communications
Published by Springer International Publishing AG, 2023
ISBN 10: 3031276213 ISBN 13: 9783031276217
Language: English
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Deep Learning for Internet of Things Infrastructure
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Deep Learning for Internet of Things Infrastructure
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032064706 ISBN 13: 9781032064703
Language: English
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Deep Learning for Internet of Things Infrastructure
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Deep Learning for Internet of Things Infrastructure (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032064706 ISBN 13: 9781032064703
Language: English
£ 46.07
Convert currency£ 27.73 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things Infrastructure addresses emerging trends and issues on IoT systems and services across various application domains. The book investigates the challenges posed by the implementation of deep learning on IoT networking models and services. It provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT. The book also explores new functions and technologies to provide adaptive services and intelligent applications for different end users.FEATURES Promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of DL-based data analytics of IoT infrastructures Addresses emerging trends and issues on IoT systems and services across various application domains Investigates the challenges posed by the implementation of deep learning on IoT networking models and services Provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT Explores new functions and technologies to provide adaptive services and intelligent applications for different end usersUttam Ghosh is an Assistant Professor in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA.Mamoun Alazab is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia.Ali Kashif Bashir is a Senior Lecturer/Associate Professor and Program Leader of BSc (H) Computer Forensics and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, United Kingdom.Al-Sakib Khan Pathan is an Adjunct Professor of Computer Science and Engineering at the Independent University, Bangladesh. This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)-based data analytics of IoT (Internet of Things) infrastructures. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Deep Learning for Internet of Things Infrastructure
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Deep Sciences for Computing and Communications : First International Conference, Icondeepcom 2022, Chennai, India, March 17-18, 2022, Revised Selected Papers
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Deep Sciences for Computing and Communications: First International Conference, IconDeepCom 2022, Chennai, India, March 17-18, 2022, Revised Selected ... in Computer and Information Science)
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Add to basketPaperback. Condition: Brand New. 266 pages. 9.18x6.12x9.21 inches. In Stock.
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Deep Sciences for Computing and Communications : First International Conference, Icondeepcom 2022, Chennai, India, March 17-18, 2022, Revised Selected Papers
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Deep Sciences For Computing And Communic
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Medical Imaging Informatics: Machine learning, deep learning and big data analytics (Healthcare Technologies)
Published by The Institution of Engineering a, 2024
ISBN 10: 1839537434 ISBN 13: 9781839537431
Language: English
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Digital Twins in Industrial Production and Smart Manufacturing
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Deep Learning for Internet of Things Infrastructure (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032064706 ISBN 13: 9781032064703
Language: English
£ 58.49
Convert currency£ 37 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things Infrastructure addresses emerging trends and issues on IoT systems and services across various application domains. The book investigates the challenges posed by the implementation of deep learning on IoT networking models and services. It provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT. The book also explores new functions and technologies to provide adaptive services and intelligent applications for different end users.FEATURES Promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of DL-based data analytics of IoT infrastructures Addresses emerging trends and issues on IoT systems and services across various application domains Investigates the challenges posed by the implementation of deep learning on IoT networking models and services Provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT Explores new functions and technologies to provide adaptive services and intelligent applications for different end usersUttam Ghosh is an Assistant Professor in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA.Mamoun Alazab is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia.Ali Kashif Bashir is a Senior Lecturer/Associate Professor and Program Leader of BSc (H) Computer Forensics and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, United Kingdom.Al-Sakib Khan Pathan is an Adjunct Professor of Computer Science and Engineering at the Independent University, Bangladesh. This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)-based data analytics of IoT (Internet of Things) infrastructures. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Deep Sciences for Computing and Communications
Published by Springer International Publishing AG, CH, 2023
ISBN 10: 3031276213 ISBN 13: 9783031276217
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketPaperback. Condition: New. 1st ed. 2023. This book constitutes selected papers presented during the First International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022, held in Chennai, India, in March 2022.The 27 papers presented were thoroughly reviewed and selected from 97 submissions. They are organized in topical sections as follows: ?classification and regression problems for communication paradigms; deep learning and vision computing; deep- recurrent neural network (RNN) for industrial informatics; extended AI for heterogeneous edge.
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Digital Twins in Industrial Production and Smart Manufacturing : An Understanding of Principles, Enhancers, and Obstacles
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Digital Twins in Industrial Production and Smart Manufacturing: An Understanding of Principles, Enhancers, and Obstacles
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Condition: As New. Unread book in perfect condition.
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Condition: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
