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Soft Computing
Engineering Applications Englisch · Taschenbuch

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Beschreibung

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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.


Über den Autor / die Autorin










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.


Produktdetails

Mitarbeit Pradip Debnath (Herausgeber), Binod Chandra Tripathy (Herausgeber)
Verlag Taylor and Francis
 
Inhalt Buch
Produktform Taschenbuch
Erscheinungsdatum 20.07.2026
Thema Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik
 
EAN 9781032738512
ISBN 978-1-032-73851-2
Anzahl Seiten 356
Illustration schwarz-weiss Illustrationen
Abmessung (Verpackung) 15.6 x 23.4 cm
Gewicht (Verpackung) 680 g
 
Serie Edge AI in Future Computing
Themen Artificial Intelligence, COMPUTERS / Computer Science, TECHNOLOGY & ENGINEERING / Engineering (General), COMPUTERS / Logic Design, TECHNOLOGY & ENGINEERING / Automation, TECHNOLOGY & ENGINEERING / Environmental / General, Cloud Computing, COMPUTERS / Programming / Algorithms, COMPUTERS / Computer Engineering, environmental science, engineering & technology, big data visualization, algorithms and data structures, Artificial Intelligence (AI), Algorithms & data structures, Information technology: general issues, Engineering: general, Computational Intelligence, Automatic control engineering, Computer architecture & logic design, Supercomputers, Environmental science, engineering and technology, COMPUTERS / Computer Architecture, Computer architecture and logic design, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Distributed Systems / Cloud Computing, Computer applications in industry and technology, COMPUTERS / Hardware / Mainframes & Minicomputers, Computer aided manufacture (CAM), Digital and Information technology: general topics, intuitionistic fuzzy systems, fractional calculus methods, neutrosophic mathematics, recommender system algorithms, medical diagnosis using fuzzy logic
 

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