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Advances in Intelligent Computing de J. K. Mandal

Advances in Intelligent Computing: Studies in Computational Intelligence, cartea 687

Editat de J. K. Mandal, Paramartha Dutta, Somnath Mukhopadhyay
en Limba Engleză Hardback – 31 mai 2018
This edited volume on computational intelligence algorithms-based applications includes work presented at the International Conference on Computational Intelligence, Communications, and Business Analytics (CICBA 2017). It provides the latest research findings on the significance of computational intelligence and related application areas. It also introduces various computation platforms involving evolutionary algorithms, fuzzy logic, swarm intelligence, artificial neural networks and several other tools for solving real-world problems. It also discusses various tools that are hybrids of more than one solution framework, highlighting the theoretical aspects as well as various real-world applications.
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Specificații

ISBN-13: 9789811089732
ISBN-10: 9811089736
Pagini: 290
Ilustrații: XIV, 169 p. 63 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.44 kg
Ediția:1st ed. 2019
Editura: Springer Nature Singapore
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Singapore, Singapore

Cuprins

Use of possibility measures for ranking of interval valued intuitionistic fuzzy numbers in solving multi-criteria decision making problems.- Optimization of Environmental-Economic Power Generation and Dispatch through GA based Multi-objective Bi-level Programming.- An Opposition Based Differential Evolution to Solve Multiple Sequence Alignment.- Swarm Intelligence Algorithms for Medical Image Registration: A Comparative Study.- Rough Kernelized Fuzzy C-Means based Medical Image Segmentation.- A Hybrid PSO-Fuzzy based Algorithm for Clustering Indian Stock Market Data.- Application of Artificial Immune System Algorithms for Intrusion Detection.- Genetic Algorithm-based Matrix Factorization for Missing Value Prediction.- GA-ARM Approach Towards Finding Rules of Occupational Accidents In a Steel Plant.- Brain signal based Biometric Identification using 1D-LGP and ANN.- On Energy Efficient Cooperative Spectrum Sensing using Possibilistic Fuzzy C-Means Clustering.- Type-2 Fuzzy Controller with Type-1 Tuning Scheme for Overhead Crane control.- A Spatial Domain Image Authentication Technique using Genetic Algorithm.- Control of Two-Axis Helicopter Model Using Fuzzy Logic.- Memetic Algorithm based Feature Selection for handwritten City Name Recognition.

Notă biografică

Jyotsna Kumar Mandal, M.Sc.(Ph.), JU, M. Tech.(CS), CU, Ph.D(Eng.), JU., Professor CSE, is former dean of FETM, and was KU for two consecutive terms. He has teaching and research experience spanning 29 years and completed four AICTE and one state govt. project. He is a life member of the CSI, CRSI, a member of the ACM, and fellow of IETE. He was also honorary vice chairman and chairman of the CSI. He has delivered over 100 lectures and organized more than 25 national and international conferences. He has produced 20 Ph. D. Degrees, three scholars submitted and 8 are pursuing. He has supervised 03 M. Phil and more than 50 M. Tech dissertations and more than 100 M.C.A dissertations. He is an editorial board member and corresponding editor of the Proceedings of Science Direct, IEEE and other conferences as well as guest editor of the MST Journal. He has published more than 400 research articles, and six books.
Paramartha Dutta, born in 1966, has B. Stat.,M. Stat. and M. Tech degrees in Computer Science, all from the Indian Statistical Institute, and a Ph. D (Engineering) from the Bengal Engineering and Science University, Shibpur. He served as a researcher in various projects funded by Govt. of India. Dr. Dutta is now a professor at the Department of Computer and System Sciences, Visva Bharati University, West Bengal, India. Prior to this, he worked at the Kalyani Government Engineering College and College of Engineering in West Bengal. Dr. Dutta was a visiting/guest scholar at several Universities/Institutes such as West Bengal University of Technology, Kalyani University, and Tripura University. He has co-authored eight books and has six edited book to his credit. He has published over two hundred papers in various international and national journals and conference proceedings, as well as several book chapters in edited volumes. Dr. Dutta has served as the editor of special volumes of several respected international journals. 
Somnath Mukhopadhyay is currently an assistant professor of Department of Computer Science & Engineering, Assam University, Silchar, India. He completed his M. Tech and Ph. D in Computer Science & Engineering at the University of Kalyani, India, in 2011 and 2015 respectively. He has co-authored one book and has five edited books to his credit. He has published over twenty papers in various international journals and conference proceedings, as well as three book chapters in edited volumes. His research interests include digital image processing, computational intelligence and pattern recognition. He is a member of the IEEE and IEEE Young Professionals - Kolkata Section, life member of the Computer Society of India and currently the regional student coordinator (RSC) of Region II, Computer Society of India.

Textul de pe ultima copertă

This edited volume on computational intelligence algorithms-based applications includes work presented at the International Conference on Computational Intelligence, Communications, and Business Analytics (CICBA 2017). It provides the latest research findings on the significance of computational intelligence and related application areas. It also introduces various computation platforms involving evolutionary algorithms, fuzzy logic, swarm intelligence, artificial neural networks and several other tools for solving real-world problems. It also discusses various tools that are hybrids of more than one solution framework, highlighting the theoretical aspects as well as various real-world applications.

Caracteristici

Discusses computational intelligence and business analytics in computer science and engineering Encompasses the latest technological developments from an inter- and intra-disciplinary perspective Presents hybridization models for solving real-world problems