Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT

P. Swarnalatha (Department of Information Security, School of Computer Science and Engineering, Vellore Institute of Technology, India) and S. Prabu (Department Banking Technology, Pondicherry University, India)

Indexed In: SCOPUS

Publication Status: E-Book and Print Version Available for Purchase

ISBN13: 9781668480984

EISBN13: 9781668481004

DOI: 10.4018/978-1-6684-8098-4

Description:

Today’s business world is changing with the adoption of the internet of things (IoT). IoT is helping in prominently capturing a tremendous amount of data from multiple sources. Realizing the future and full potential of IoT devices will require an investment in new technologies.

The Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT demonstrates how the computer scientists and engineers of today might employ artificial intelligence in practical applications with the emerging cloud and IoT technologies. The book also gathers recent research works in emerging artificial intelligence methods and applications for processing and storing the data generated from the cloud-based internet of things. Covering key topics such as data, cybersecurity, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, engineers, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Artificial Intelligence
Blockchain
Cloud Computing
Cloud-Based Internet of Things
Cybersecurity
Data
Data Transmission
Distributed Systems
Internet of Things
Natural Language Processing
Smart Healthcare

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P. Swarnalatha is a Professor in the School of Computing Science and Engineering, Vellore Institute of Technology at Vellore, India. She pursued her Ph.D degree in Image Processing and Intelligent Systems. She has published more than 130 papers in International Journals/International Conference Proceedings/National Conferences. She is having 22+ years of teaching experiences. She has filed two Patents and also awarded with Dr. APJ Abdul Kalam Award for Teaching Excellence. She is a senior member of IACSIT, CSI, ACM, IACSIT, IEEE (WIE), ACEEE. She is an Editorial board member/reviewer of reputed International/ National Journals and Conferences. Her current research interest includes Image Processing, Remote Sensing, Artificial Intelligence and Software Engineering.

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