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Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems - Anshu Singla, Sarvesh Tanwar & Pao-Ann Hsiung

By Anshu Singla, Sarvesh Tanwar & Pao-Ann Hsiung

Release Date: 2024-07-31

Genre: Computers

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This book comprehensively discusses the role of cloud computing in artificial intelligenceā€‘based dataā€‘driven systems and hybrid cloud computing for large dataā€‘driven 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 Thingsā€‘based frameworks and advanced computing techniques to deal with online/virtual systems.

This book:

ā€¢ Covers the aspects of security, authentication, and prediction for dataā€‘driven systems in heterogeneous environments.

ā€¢ Provides dataā€‘driven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decisionā€‘making for realā€‘time problems.

ā€¢ Showcases deep learningā€‘based computer vision algorithms for enhanced pattern detection in different domains based on dataā€‘centric approaches.

ā€¢ Examines the role of the Internet of Things and machine learning algorithms for dataā€‘driven systems.

ā€¢ Highlights the applications of dataā€‘driven 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.

Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems - Anshu Singla, Sarvesh Tanwar & Pao-Ann Hsiung

By Anshu Singla, Sarvesh Tanwar & Pao-Ann Hsiung

Release Date: 2024-07-31

Genre: Computers

(0 ratings)
Read Download
This book comprehensively discusses the role of cloud computing in artificial intelligenceā€‘based dataā€‘driven systems and hybrid cloud computing for large dataā€‘driven 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 Thingsā€‘based frameworks and advanced computing techniques to deal with online/virtual systems.

This book:

ā€¢ Covers the aspects of security, authentication, and prediction for dataā€‘driven systems in heterogeneous environments.

ā€¢ Provides dataā€‘driven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decisionā€‘making for realā€‘time problems.

ā€¢ Showcases deep learningā€‘based computer vision algorithms for enhanced pattern detection in different domains based on dataā€‘centric approaches.

ā€¢ Examines the role of the Internet of Things and machine learning algorithms for dataā€‘driven systems.

ā€¢ Highlights the applications of dataā€‘driven 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.

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Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems

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