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Sinopsis
Modern Computing: Principles and Paradigms provides a comprehensive text and reference on modern computing, covering the most recent paradigms, systems, and architectures that have revolutionized computational intelligence through the use of cutting-edge Artificial Intelligence of Things (AIoT) applications.
The book presents state-of-the-art research on emerging areas of communications, networking, and recent technologies such as AIoT applications, Digital Twins, Edge AI, Industrial Internet of Things (IIoT). Advanced research findings (theoretical innovations and modelling applications) provide high-quality concepts, hybrid applications, innovative methodologies, and development trend studies for a wide audience. It will enable readers to learn the fundamental science as well as the practical development of AI-driven next-generation modern computing.
With particular emphasis on the areas of AI, next generation computing, and cloud computing, this book will be of great use to postgraduates and researchers across computer science and engineering, information technology, electronics and communication, and data science.
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Acerca del autor
Dr. Sukhpal Singh Gill (SFHEA) is Assistant Professor at Queen Mary University of London (UK), and serves as an EiC for IGI Global IJAEC, Executive Editor for Elsevier IoT, and Area Editor for Springer Cluster Computing, also serving as Associate Editor in IEEE IoT Journal and Nature Scientific Reports.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Modern Computing (Paperback)
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Paperback. Condición: new. Paperback. Modern Computing: Principles and Paradigms provides a comprehensive text and reference on modern computing, covering the most recent paradigms, systems, and architectures that have revolutionized computational intelligence through the use of cutting-edge Artificial Intelligence of Things (AIoT) applications.The book presents state-of-the-art research on emerging areas of communications, networking, and recent technologies such as AIoT applications, Digital Twins, Edge AI, Industrial Internet of Things (IIoT). Advanced research findings (theoretical innovations and modelling applications) provide high-quality concepts, hybrid applications, innovative methodologies, and development trend studies for a wide audience. It will enable readers to learn the fundamental science as well as the practical development of AI-driven next-generation modern computing.With particular emphasis on the areas of AI, next generation computing, and cloud computing, this book will be of great use to postgraduates and researchers across computer science and engineering, information technology, electronics and communication, and data science. This book covers the most recent paradigms, systems and architectures revolutionising computational intelligence through the use of cutting-edge Artificial Intelligence of Things (AIoT) applications. For postgraduates and researchers of computer science and engineering, information technology, electronics and communication and data science. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781041340263
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Modern Computing (Paperback)
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Taylor & Francis Ltd, London, 2026
ISBN 10: 1041340265
ISBN 13: 9781041340263
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Paperback. Condición: new. Paperback. Modern Computing: Principles and Paradigms provides a comprehensive text and reference on modern computing, covering the most recent paradigms, systems, and architectures that have revolutionized computational intelligence through the use of cutting-edge Artificial Intelligence of Things (AIoT) applications.The book presents state-of-the-art research on emerging areas of communications, networking, and recent technologies such as AIoT applications, Digital Twins, Edge AI, Industrial Internet of Things (IIoT). Advanced research findings (theoretical innovations and modelling applications) provide high-quality concepts, hybrid applications, innovative methodologies, and development trend studies for a wide audience. It will enable readers to learn the fundamental science as well as the practical development of AI-driven next-generation modern computing.With particular emphasis on the areas of AI, next generation computing, and cloud computing, this book will be of great use to postgraduates and researchers across computer science and engineering, information technology, electronics and communication, and data science. This book covers the most recent paradigms, systems and architectures revolutionising computational intelligence through the use of cutting-edge Artificial Intelligence of Things (AIoT) applications. For postgraduates and researchers of computer science and engineering, information technology, electronics and communication and data science. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9781041340263
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Condición: New. Dr. Sukhpal Singh Gill (SFHEA) is Assistant Professor at Queen Mary University of London (UK), and serves as an EiC for IGI Global IJAEC, Executive Editor for Elsevier IoT, and Area Editor for Springer Cluster Computing, also . Nº de ref. del artículo: 3108063213
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Modern Computing (Paperback)
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ISBN 10: 1041340265
ISBN 13: 9781041340263
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Paperback. Condición: new. Paperback. Modern Computing: Principles and Paradigms provides a comprehensive text and reference on modern computing, covering the most recent paradigms, systems, and architectures that have revolutionized computational intelligence through the use of cutting-edge Artificial Intelligence of Things (AIoT) applications.The book presents state-of-the-art research on emerging areas of communications, networking, and recent technologies such as AIoT applications, Digital Twins, Edge AI, Industrial Internet of Things (IIoT). Advanced research findings (theoretical innovations and modelling applications) provide high-quality concepts, hybrid applications, innovative methodologies, and development trend studies for a wide audience. It will enable readers to learn the fundamental science as well as the practical development of AI-driven next-generation modern computing.With particular emphasis on the areas of AI, next generation computing, and cloud computing, this book will be of great use to postgraduates and researchers across computer science and engineering, information technology, electronics and communication, and data science. This book covers the most recent paradigms, systems and architectures revolutionising computational intelligence through the use of cutting-edge Artificial Intelligence of Things (AIoT) applications. For postgraduates and researchers of computer science and engineering, information technology, electronics and communication and data science. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781041340263
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Taschenbuch. Condición: Neu. Neuware - Modern Computing: Principles and Paradigms provides a comprehensive text and reference on modern computing, covering the most recent paradigms, systems, and architectures that have revolutionized computational intelligence through the use of cutting-edge Artificial Intelligence of Things (AIoT) applications.The book presents state-of-the-art research on emerging areas of communications, networking, and recent technologies such as AIoT applications, Digital Twins, Edge AI, Industrial Internet of Things (IIoT). Advanced research findings (theoretical innovations and modelling applications) provide high-quality concepts, hybrid applications, innovative methodologies, and development trend studies for a wide audience. It will enable readers to learn the fundamental science as well as the practical development of AI-driven next-generation modern computing.With particular emphasis on the areas of AI, next generation computing, and cloud computing, this book will be of great use to postgraduates and researchers across computer science and engineering, information technology, electronics and communication, and data science. Nº de ref. del artículo: 9781041340263
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