Quantum Inspired Computational Intelligence
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Quantum Inspired Computational Intelligence

Research and Applications
Siddhartha Bhattacharyya
Morgan Kaufmann
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ISBN-13:
9780128044094
Veröffentl:
2017
Seiten:
0
Autor:
Siddhartha Bhattacharyya
Gewicht:
1020 g
Format:
237x190x22 mm
Sprache:
Englisch
Beschreibung:

Siddhartha Bhattacharyya is currently the principal of Rajnagar Mahavidyalaya, Birbhum, India. He was a professor at CHRIST (Deemed to be University), Bangalore, India, and also served as the Principal of RCC Institute of Information Technology, Kolkata, India. He has served VSB Technical University of Ostrava, Czech Republic as a Senior Research Scientist. He is the recipient of several coveted national and international awards. He received the Honorary Doctorate Award (D. Litt.) from the University of South America and the SEARCC International Digital Award ICT Educator of the Year in 2017. He was appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for the tenure 2021-2023. He has co-authored six books, co-edited 75 books, and has more than 300 research publications in international journals and conference proceedings to his credit.Dr. Ujjwal Maulik is a Professor in the Department of Computer Science and Engineering, Jadavpur University, Kolkata, India since 2004. He is co-author of seven books for Springer and Wiley, more than 250 research publications, and Associate Editor of IEEE Transaction on Fuzzy Systems and Information Sciences. His research interests include computational intelligence, bioinformatics, combinatorial optimization, pattern recognition, and data mining.Dr. Paramartha Dutta did his Bachelors and Masters in Statistics from the Indian Statistical Institute, Calcutta in the years 1988 and 1990 respectively. He afterwards completed his Master of Technology in Computer science from the same Institute in the year 1993 and Doctor of Philosophy in Engineering from the Bengal Engineering and Science University, Shibpur in 2005 respectively. He has served in the capacity of research personnel in various projects funded by Govt. of India, which include DRDO, CSIR, Indian Statistical Institute, Calcutta etc. Dr. Dutta is now a Professor in the Department of Computer and system Sciences of the Visva Bharati University, West Bengal, India. Prior to this, he served Kalyani Government Engineering College and College of Engineering in West Bengal as full time faculty members. He has coauthored four books and has also one edited book to his credit. He has published

about hundred fifty papers in various journals and conference proceedings, both international and national. Presently, he is supervising four students for their Ph. D program registered with Visva Bharati University and West Bengal University of Technology. Dr. Dutta is a Life Fellow of the Optical Society of India (OSI), Computer Society of India (CSI), Indian Science Congress Association (ISCA), Indian Society for Technical Education (ISTE), Indian Unit of Pattern Recognition and Artificial Intelligence (IUPRAI) - the Indian affiliate of the International Association for Pattern Recognition (IAPR), Senior Member of Associated Computing Machinery (ACM), IEEE Computer Society, USA and IACSIT.

1. Quantum Neural Computation of Entanglement is Robust to Noise and Decoherence2. Quantum Computing and Supervised Machine Learning: Training, Model Selection and Error Estimation3. Field Computation: A Framework for Quantum Inspired Computing4. Design of Cellular Quantum-inspired Evolutionary Algorithm with Random Topologies5. An Efficient Pure Color Image Denoising using Quantum Parallel Bi-Directional Self-Organizing Neural Network Architecture6. Quantum Inspired Multi-objective SA for Bi-level Image Thresholding7. Quantum Inspired Computational Intelligent Techniques in Image Segmentation8. Fuzzy Evaluated Quantum Cellular Automata Approach for Watershed Image Analysis9. Quantum Inspired Evolutionary Algorithm for Scaling Factors Optimization during Manifold Medical Information Embedding10. Digital Filter Design using Quantum Inspired Multi-Objective Cat Swarm Optimization Algorithm11. A Novel Graph Clustering Algorithm Based On Discrete Time Quantum Random Walk12. Schrodinger equation as an inspiration for client portfolio simulation hybrid system based on dynamic Bayesian networks and REFII model13. A Quantum Inspired Hybrid Intelligent Position Monitoring System in Wireless Networks

Quantum Inspired Computational Intelligence: Research and Applications explores the latest quantum computational intelligence approaches, initiatives, and applications in computing, engineering, science, and business. The book explores this emerging field of research that applies principles of quantum mechanics to develop more efficient and robust intelligent systems. Conventional computational intelligence-or soft computing-is conjoined with quantum computing to achieve this objective. The models covered can be applied to any endeavor which handles complex and meaningful information.

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