embedded devices internet things (19 Ergebnisse)

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Hardcover. Zustand: new. Hardcover. The text comprehensively discusses machine-to-machine communication in real-time, low-power system design and estimation using field programmable gate arrays, PID, hardware, accelerators, and software integration for service applications. It further covers the recent advances in embedded computing and IoT for healthcare systems. The text explains the use of low-power devices such as microcontrollers in executing deep neural networks, and other machine learning techniques.This book:Discusses the embedded system software and hardware methodologies for system-on-chip and FPGAIllustrates low-power embedded applications, AI-based system design, PID control design, and CNN hardware designHighlights the integration of advanced 5G communication technologies with embedded systemsExplains weather prediction modeling, embedded machine learning, and RTOSHighlights the significance of machine-learning techniques on the Internet of Things (IoT), real-time embedded system design, communication, and healthcare applications, and provides insights on IoT applications in education, fault attacks, security concerns, AI integration, banking, blockchain, intelligent tutoring systems, and smart technologiesIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, and computer engineering. The text discusses machine-to-machine communication in real-time, low-power system design and estimation using field programmable gate arrays, PID, hardware, accelerators, and software integration for service applications. It also covers the recent advances in embedded computing and IoT for healthcare systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Zustand: new. Hardcover. The text comprehensively discusses machine-to-machine communication in real-time, low-power system design and estimation using field programmable gate arrays, PID, hardware, accelerators, and software integration for service applications. It further covers the recent advances in embedded computing and IoT for healthcare systems. The text explains the use of low-power devices such as microcontrollers in executing deep neural networks, and other machine learning techniques.This book:Discusses the embedded system software and hardware methodologies for system-on-chip and FPGAIllustrates low-power embedded applications, AI-based system design, PID control design, and CNN hardware designHighlights the integration of advanced 5G communication technologies with embedded systemsExplains weather prediction modeling, embedded machine learning, and RTOSHighlights the significance of machine-learning techniques on the Internet of Things (IoT), real-time embedded system design, communication, and healthcare applications, and provides insights on IoT applications in education, fault attacks, security concerns, AI integration, banking, blockchain, intelligent tutoring systems, and smart technologiesIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, and computer engineering. The text discusses machine-to-machine communication in real-time, low-power system design and estimation using field programmable gate arrays, PID, hardware, accelerators, and software integration for service applications. It also covers the recent advances in embedded computing and IoT for healthcare systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Adesh Kumar is a Professor with the Department of Electrical &amp Electronics, Engineering, School of Advanced Engineering, UPES, Dehradun, India. He earned a BTech in electronics and communication engineering from Uttar Pradesh Technic.

Hardcover. Zustand: new. Hardcover. The text comprehensively discusses machine-to-machine communication in real-time, low-power system design and estimation using field programmable gate arrays, PID, hardware, accelerators, and software integration for service applications. It further covers the recent advances in embedded computing and IoT for healthcare systems. The text explains the use of low-power devices such as microcontrollers in executing deep neural networks, and other machine learning techniques.This book:Discusses the embedded system software and hardware methodologies for system-on-chip and FPGAIllustrates low-power embedded applications, AI-based system design, PID control design, and CNN hardware designHighlights the integration of advanced 5G communication technologies with embedded systemsExplains weather prediction modeling, embedded machine learning, and RTOSHighlights the significance of machine-learning techniques on the Internet of Things (IoT), real-time embedded system design, communication, and healthcare applications, and provides insights on IoT applications in education, fault attacks, security concerns, AI integration, banking, blockchain, intelligent tutoring systems, and smart technologiesIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, and computer engineering. The text discusses machine-to-machine communication in real-time, low-power system design and estimation using field programmable gate arrays, PID, hardware, accelerators, and software integration for service applications. It also covers the recent advances in embedded computing and IoT for healthcare systems. 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.

Buch. Zustand: Neu. Embedded Devices and Internet of Things | Technologies, and Applications | Adesh Kumar (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2024 | CRC Press | EAN 9781032606002 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.