Soft Computing (Edge AI in Future Computing)

ISBN 10: 1032738529 / ISBN 13: 9781032738529

Published by CRC Press, 2024

About this Item

In.

Seller Inventory # ria9781032738529_new

Bibliographic Details

• Title: Soft Computing (Edge AI in Future Computing)
• Publisher: CRC Press
• Publication Date: 2024
• Language: English
• ISBN 10: 1032738529
• ISBN 13: 9781032738529
• Binding: Hardcover
• Condition: New

About this title

Synopsis

This book examines the latest developments in the area of soft computing with engineering applications. It explores topics such as fuzzy sets, intuitionistic fuzzy sets, unmanned aerial vehicles, soft sets, neutrosophic sets, fractional calculus, big data analytics, and the mathematical foundations of convolutional neural network (CNNs). Soft Computing: Engineering Applications offers readers a comprehensive and in-depth understanding of various cutting-edge technologies that are transforming industries worldwide.

The book explores soft computing techniques in a very systematic manner. It elucidates the concepts, theories, and applications of fuzzy sets, enabling readers to grasp the fundamentals and explore their applications in various fields. It provides new insight into unmanned aerial vehicle applications to fuzzy soft set based decision making. It then discusses new fixed point results in orthogonal neutrosophic generalized metric spaces and explores statistical convergence of triple sequences in a credibility space. The authors then provide readers with a solid grasp of the mathematical underpinnings of CNNs, enabling them to design, train, and optimize neural networks for image recognition, object detection, and other computer vision tasks. The authors also present new studies in fractional calculus and explores advanced visualization algorithms and techniques for big data analytics.

Soft Computing will be useful for beginners and advanced researchers in engineering, applied sciences and healthcare professionals working in soft computing applications.

About the Author

Dr. Pradip Debnath is an Associate Professor in the Department of Mathematical Sciences at Tezpur University, India. He received his Ph.D. in Mathematics from the National Institute of Technology Silchar, India. His research interests include fixed point theory, functional analysis, soft computing and mathematical statistics.

Prof. (Dr.) Binod Chandra Tripathy received his M.Sc. and Ph.D. degrees from the Berhampur University, Odisha, India. He is the Director, IQAC, Tripura University since March 2020. His research interests are Fuzzy set theory, Sequences of fuzzy numbers, Summability theory, Sequence space and Series, Sequences of complex uncertain variables, Spectral theory, Multiset topological space, Neutrosophic topological space, Decision making etc.