AI for Edge Computing presents a concise and systematic introduction to the integration of artificial intelligence with edge computing for real-time and efficient data processing near the data source. The book addresses the limitations of cloud-centric AI systems, such as latency, bandwidth usage, and privacy concerns, and explains how edge intelligence enables faster, reliable, and context-aware decision making. It covers the fundamentals of edge computing architectures, edge hardware platforms, and embedded AI systems, including commonly used devices and accelerators. Lightweight machine learning and deep learning models optimized for edge deployment are discussed along with model compression and optimization techniques. The book also introduces deployment strategies, real-time inference, and widely used frameworks, while highlighting security, privacy, and emerging trends. Designed with an academic focus, this book serves as a valuable resource for students and professionals in artificial intelligence, embedded systems, and edge computing.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Dr. G. Jeyaram is an Assistant Professor in the Department of CSE (AI & ML) at Easwari Engineering College, Chennai. A dedicated educator and researcher, his expertise spans artificial intelligence, machine learning, edge computing, and VANETs, with a strong commitment to advancing knowledge and mentoring future innovators.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: PBShop.store US, Wood Dale, IL, USA
PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9786209592959
Anzahl: Mehr als 20 verfügbar
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9786209592959
Anzahl: Mehr als 20 verfügbar
Anbieter: California Books, Miami, FL, USA
Zustand: New. Bestandsnummer des Verkäufers I-9786209592959
Anzahl: Mehr als 20 verfügbar
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Paperback. Zustand: new. Paperback. AI for Edge Computing presents a concise and systematic introduction to the integration of artificial intelligence with edge computing for real-time and efficient data processing near the data source. The book addresses the limitations of cloud-centric AI systems, such as latency, bandwidth usage, and privacy concerns, and explains how edge intelligence enables faster, reliable, and context-aware decision making. It covers the fundamentals of edge computing architectures, edge hardware platforms, and embedded AI systems, including commonly used devices and accelerators. Lightweight machine learning and deep learning models optimized for edge deployment are discussed along with model compression and optimization techniques. The book also introduces deployment strategies, real-time inference, and widely used frameworks, while highlighting security, privacy, and emerging trends. Designed with an academic focus, this book serves as a valuable resource for students and professionals in artificial intelligence, embedded systems, and edge computing. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786209592959
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 92 pp. Englisch. Bestandsnummer des Verkäufers 9786209592959
Anzahl: 2 verfügbar
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Paperback. Zustand: new. Paperback. AI for Edge Computing presents a concise and systematic introduction to the integration of artificial intelligence with edge computing for real-time and efficient data processing near the data source. The book addresses the limitations of cloud-centric AI systems, such as latency, bandwidth usage, and privacy concerns, and explains how edge intelligence enables faster, reliable, and context-aware decision making. It covers the fundamentals of edge computing architectures, edge hardware platforms, and embedded AI systems, including commonly used devices and accelerators. Lightweight machine learning and deep learning models optimized for edge deployment are discussed along with model compression and optimization techniques. The book also introduces deployment strategies, real-time inference, and widely used frameworks, while highlighting security, privacy, and emerging trends. Designed with an academic focus, this book serves as a valuable resource for students and professionals in artificial intelligence, embedded systems, and edge computing. 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. Bestandsnummer des Verkäufers 9786209592959
Anzahl: 1 verfügbar
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Paperback. Zustand: new. Paperback. AI for Edge Computing presents a concise and systematic introduction to the integration of artificial intelligence with edge computing for real-time and efficient data processing near the data source. The book addresses the limitations of cloud-centric AI systems, such as latency, bandwidth usage, and privacy concerns, and explains how edge intelligence enables faster, reliable, and context-aware decision making. It covers the fundamentals of edge computing architectures, edge hardware platforms, and embedded AI systems, including commonly used devices and accelerators. Lightweight machine learning and deep learning models optimized for edge deployment are discussed along with model compression and optimization techniques. The book also introduces deployment strategies, real-time inference, and widely used frameworks, while highlighting security, privacy, and emerging trends. Designed with an academic focus, this book serves as a valuable resource for students and professionals in artificial intelligence, embedded systems, and edge computing. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786209592959
Anzahl: 1 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -AI for Edge Computing presents a concise and systematic introduction to the integration of artificial intelligence with edge computing for real-time and efficient data processing near the data source. The book addresses the limitations of cloud-centric AI systems, such as latency, bandwidth usage, and privacy concerns, and explains how edge intelligence enables faster, reliable, and context-aware decision making. It covers the fundamentals of edge computing architectures, edge hardware platforms, and embedded AI systems, including commonly used devices and accelerators. Lightweight machine learning and deep learning models optimized for edge deployment are discussed along with model compression and optimization techniques. The book also introduces deployment strategies, real-time inference, and widely used frameworks, while highlighting security, privacy, and emerging trends. Designed with an academic focus, this book serves as a valuable resource for students and professionals in artificial intelligence, embedded systems, and edge computing.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. Bestandsnummer des Verkäufers 9786209592959
Anzahl: 1 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering. Bestandsnummer des Verkäufers 9786209592959
Anzahl: 1 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. AI for Edge Computing | From Cloud to Edge: Intelligent Systems in Practice | G. Jeyaram | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209592959 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 134623017
Anzahl: 5 verfügbar