9781032548173 - Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems (Intelligent Data-Driven Systems and Artificial Intelligence) (18 Ergebnisse)

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Hardcover. Zustand: new. Hardcover. This book comprehensively discusses the role of cloud computing in artificial intelligencebased datadriven systems and hybrid cloud computing for large datadriven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Thingsbased frameworks and advanced computing techniques to deal with online/virtual systems.This book: Covers the aspects of security, authentication, and prediction for datadriven systems in heterogeneous environments. Provides datadriven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decisionmaking for realtime problems. Showcases deep learningbased computer vision algorithms for enhanced pattern detection in different domains based on datacentric approaches. Examines the role of the Internet of Things and machine learning algorithms for datadriven systems. Highlights the applications of datadriven systems and cloud computing in enhancing network performance.This book is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer science engineering. This book comprehensively discusses the role of cloud computing in artificial intelligence-based data-driven systems, and hybrid cloud computing for large data-driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Zustand: new. Hardcover. This book comprehensively discusses the role of cloud computing in artificial intelligencebased datadriven systems and hybrid cloud computing for large datadriven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Thingsbased frameworks and advanced computing techniques to deal with online/virtual systems.This book: Covers the aspects of security, authentication, and prediction for datadriven systems in heterogeneous environments. Provides datadriven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decisionmaking for realtime problems. Showcases deep learningbased computer vision algorithms for enhanced pattern detection in different domains based on datacentric approaches. Examines the role of the Internet of Things and machine learning algorithms for datadriven systems. Highlights the applications of datadriven systems and cloud computing in enhancing network performance.This book is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer science engineering. This book comprehensively discusses the role of cloud computing in artificial intelligence-based data-driven systems, and hybrid cloud computing for large data-driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Zustand: new. Hardcover. This book comprehensively discusses the role of cloud computing in artificial intelligencebased datadriven systems and hybrid cloud computing for large datadriven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Thingsbased frameworks and advanced computing techniques to deal with online/virtual systems.This book: Covers the aspects of security, authentication, and prediction for datadriven systems in heterogeneous environments. Provides datadriven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decisionmaking for realtime problems. Showcases deep learningbased computer vision algorithms for enhanced pattern detection in different domains based on datacentric approaches. Examines the role of the Internet of Things and machine learning algorithms for datadriven systems. Highlights the applications of datadriven systems and cloud computing in enhancing network performance.This book is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer science engineering. This book comprehensively discusses the role of cloud computing in artificial intelligence-based data-driven systems, and hybrid cloud computing for large data-driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Anshu Singla has a PhD in Computer Science and Engineering with 17 years of experience in research, training, and academics. Currently, she is a Professor with Chitkara University, Punjab, India. Her areas of expertise are Machine Le.

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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book comprehensively discusses the role of cloud computing in artificial intelligence-based data-driven systems, and hybrid cloud computing for large data-driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data.