Deep learning edge cloud based (14 risultati)
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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EUR 174,35
EUR 4,84 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 202,71
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Condizione: New.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 211,93
EUR 5,84 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 247,16
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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EUR 257,06
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Hardback. Condizione: New.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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EUR 251,26
EUR 75,65 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Hardback. Condizione: New.
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- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 184,97
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. The Internet of Things (IoT) is transforming the way people, devices, and systems interact by creating highly connected environments that generate and exchange vast amounts of data in real time. From smart cities and healthcare to manufacturing, transportation, and industrial automation, Io…T technologies are enabling more intelligent, responsive, and data-driven operations across nearly every sector. As these connected ecosystems continue to grow in scale and complexity, there is an increasing need for advanced technologies capable of extracting meaningful insights, supporting autonomous decision-making, and adapting to dynamic environments. Deep learning has emerged as a powerful solution, enabling IoT systems to perform sophisticated tasks such as prediction, classification, optimization, and intelligent control. At the same time, the convergence of cloud and edge computing is redefining how these capabilities are delivered, creating architectures that balance computational power, scalability, efficiency, and real-time responsiveness. Deep Learning in Edge and Cloud-Based IoT Systems examines the integration of deep learning with edge and cloud computing to support the next generation of intelligent IoT applications. This book explores the theoretical foundations, deployment strategies, optimization techniques, privacy and security considerations, and emerging applications of deep learning across distributed computing environments. Covering topics such as heterogeneous and real-time IoT data analytics, privacy preservation, and device-edge-cloud continuum, this book is a fundamental academic resource for graduate and doctoral students, IoT architects, software engineers, cloud engineers, technology developers, systems engineers, policymakers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 183,39
EUR 43,06 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. The Internet of Things (IoT) is transforming the way people, devices, and systems interact by creating highly connected environments that generate and exchange vast amounts of data in real time. From smart cities and healthcare to manufacturing, transportation, and industrial automation, Io…T technologies are enabling more intelligent, responsive, and data-driven operations across nearly every sector. As these connected ecosystems continue to grow in scale and complexity, there is an increasing need for advanced technologies capable of extracting meaningful insights, supporting autonomous decision-making, and adapting to dynamic environments. Deep learning has emerged as a powerful solution, enabling IoT systems to perform sophisticated tasks such as prediction, classification, optimization, and intelligent control. At the same time, the convergence of cloud and edge computing is redefining how these capabilities are delivered, creating architectures that balance computational power, scalability, efficiency, and real-time responsiveness. Deep Learning in Edge and Cloud-Based IoT Systems examines the integration of deep learning with edge and cloud computing to support the next generation of intelligent IoT applications. This book explores the theoretical foundations, deployment strategies, optimization techniques, privacy and security considerations, and emerging applications of deep learning across distributed computing environments. Covering topics such as heterogeneous and real-time IoT data analytics, privacy preservation, and device-edge-cloud continuum, this book is a fundamental academic resource for graduate and doctoral students, IoT architects, software engineers, cloud engineers, technology developers, systems engineers, policymakers, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 222,34
EUR 43,06 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. The Internet of Things (IoT) is transforming the way people, devices, and systems interact by creating highly connected environments that generate and exchange vast amounts of data in real time. From smart cities and healthcare to manufacturing, transportation, and industrial automation, Io…T technologies are enabling more intelligent, responsive, and data-driven operations across nearly every sector. As these connected ecosystems continue to grow in scale and complexity, there is an increasing need for advanced technologies capable of extracting meaningful insights, supporting autonomous decision-making, and adapting to dynamic environments. Deep learning has emerged as a powerful solution, enabling IoT systems to perform sophisticated tasks such as prediction, classification, optimization, and intelligent control. At the same time, the convergence of cloud and edge computing is redefining how these capabilities are delivered, creating architectures that balance computational power, scalability, efficiency, and real-time responsiveness. Deep Learning in Edge and Cloud-Based IoT Systems examines the integration of deep learning with edge and cloud computing to support the next generation of intelligent IoT applications. This book explores the theoretical foundations, deployment strategies, optimization techniques, privacy and security considerations, and emerging applications of deep learning across distributed computing environments. Covering topics such as heterogeneous and real-time IoT data analytics, privacy preservation, and device-edge-cloud continuum, this book is a fundamental academic resource for graduate and doctoral students, IoT architects, software engineers, cloud engineers, technology developers, systems engineers, policymakers, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 245,85
EUR 31,94 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. The Internet of Things (IoT) is transforming the way people, devices, and systems interact by creating highly connected environments that generate and exchange vast amounts of data in real time. From smart cities and healthcare to manufacturing, transportation, and industrial automation, Io…T technologies are enabling more intelligent, responsive, and data-driven operations across nearly every sector. As these connected ecosystems continue to grow in scale and complexity, there is an increasing need for advanced technologies capable of extracting meaningful insights, supporting autonomous decision-making, and adapting to dynamic environments. Deep learning has emerged as a powerful solution, enabling IoT systems to perform sophisticated tasks such as prediction, classification, optimization, and intelligent control. At the same time, the convergence of cloud and edge computing is redefining how these capabilities are delivered, creating architectures that balance computational power, scalability, efficiency, and real-time responsiveness. Deep Learning in Edge and Cloud-Based IoT Systems examines the integration of deep learning with edge and cloud computing to support the next generation of intelligent IoT applications. This book explores the theoretical foundations, deployment strategies, optimization techniques, privacy and security considerations, and emerging applications of deep learning across distributed computing environments. Covering topics such as heterogeneous and real-time IoT data analytics, privacy preservation, and device-edge-cloud continuum, this book is a fundamental academic resource for graduate and doctoral students, IoT architects, software engineers, cloud engineers, technology developers, systems engineers, policymakers, and more. 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.
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- Print on Demand
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 219,80
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Deep Learning in Edge and Cloud-Based IoT Systems | Uzair Aslam Bhatti (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798260006160 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on D…emand.
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 293,42
EUR 31,94 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. The Internet of Things (IoT) is transforming the way people, devices, and systems interact by creating highly connected environments that generate and exchange vast amounts of data in real time. From smart cities and healthcare to manufacturing, transportation, and industrial automation, Io…T technologies are enabling more intelligent, responsive, and data-driven operations across nearly every sector. As these connected ecosystems continue to grow in scale and complexity, there is an increasing need for advanced technologies capable of extracting meaningful insights, supporting autonomous decision-making, and adapting to dynamic environments. Deep learning has emerged as a powerful solution, enabling IoT systems to perform sophisticated tasks such as prediction, classification, optimization, and intelligent control. At the same time, the convergence of cloud and edge computing is redefining how these capabilities are delivered, creating architectures that balance computational power, scalability, efficiency, and real-time responsiveness. Deep Learning in Edge and Cloud-Based IoT Systems examines the integration of deep learning with edge and cloud computing to support the next generation of intelligent IoT applications. This book explores the theoretical foundations, deployment strategies, optimization techniques, privacy and security considerations, and emerging applications of deep learning across distributed computing environments. Covering topics such as heterogeneous and real-time IoT data analytics, privacy preservation, and device-edge-cloud continuum, this book is a fundamental academic resource for graduate and doctoral students, IoT architects, software engineers, cloud engineers, technology developers, systems engineers, policymakers, and more. 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.
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- Print on Demand
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 261,70
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Buch. Condizione: Neu. Deep Learning in Edge and Cloud-Based IoT Systems | Uzair Aslam Bhatti (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798260006153 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Editore: Igi Global Scientific Publishing, 2026
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 224,30
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. The Internet of Things (IoT) is transforming the way people, devices, and systems interact by creating highly connected environments that generate and exchange vast amounts of data in real time. From smart cities and healthcare to manufacturing, transportation, and industrial automation, Io…T technologies are enabling more intelligent, responsive, and data-driven operations across nearly every sector. As these connected ecosystems continue to grow in scale and complexity, there is an increasing need for advanced technologies capable of extracting meaningful insights, supporting autonomous decision-making, and adapting to dynamic environments. Deep learning has emerged as a powerful solution, enabling IoT systems to perform sophisticated tasks such as prediction, classification, optimization, and intelligent control. At the same time, the convergence of cloud and edge computing is redefining how these capabilities are delivered, creating architectures that balance computational power, scalability, efficiency, and real-time responsiveness. Deep Learning in Edge and Cloud-Based IoT Systems examines the integration of deep learning with edge and cloud computing to support the next generation of intelligent IoT applications. This book explores the theoretical foundations, deployment strategies, optimization techniques, privacy and security considerations, and emerging applications of deep learning across distributed computing environments. Covering topics such as heterogeneous and real-time IoT data analytics, privacy preservation, and device-edge-cloud continuum, this book is a fundamental academic resource for graduate and doctoral students, IoT architects, software engineers, cloud engineers, technology developers, systems engineers, policymakers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
