Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2026
ISBN 10: 1032836466 ISBN 13: 9781032836461
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 106,09
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. 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 multiple locations in the US or from the UK, depending on stock availability.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 110,36
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2026
ISBN 10: 1032836466 ISBN 13: 9781032836461
Librería: CitiRetail, Stevenage, Reino Unido
EUR 102,63
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. 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.