Multilevel Quantum Metaheuristics : Applications in Data Exploration
Language: English
Published by Elsevier Science Publishing Co Inc Jan 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Condition: New
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Add to basketItem description from seller
Neuware - Multilevel Quantum Metaheuristics: Applications in Data Exploration explores the most recent advances in hybrid quantum-inspired algorithms. Combining principles of quantum mechanics with metaheuristic techniques for efficient data optimization, this book examines multilevel quantum systems characterized by qudits and higher-level quantum states as more robust alternatives to conventional bilevel quantum approaches. It introduces novel multilevel applications of quantum metaheuristics for addressing optimization problems in areas including function optimization, data analysis, scheduling, and signal processing. The book also showcases real-world examples, case studies, and contributions that emphasize the effectiveness of proposed multilevel techniques over existing bilevel methods. Researchers, professionals, and engineers working on intelligent computing, quantum computing, data processing, clustering, and analysis, and those interested in the synergies between quantum computing, metaheuristics, and multilevel quantum systems for enhanced data exploration and analysis will find this book to be of great value.…
Seller Inventory # 9780443331367
- Title
- Multilevel Quantum Metaheuristics : Applications in Data Exploration
- Author
- Siddhartha Bhattacharyya
- Publisher
- Elsevier Science Publishing Co Inc Jan 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0443331367
- ISBN 13
- 9780443331367
- Item weight
- 760 grams
- Dimensions
- 229x152x24 mm
- Provides insights into the future of quantum-inspired optimization by covering recent trends and mathematical techniques
- Advances knowledge of evolving time-efficient hybrid quantum algorithms that leverage the processing capabilities of emerging qudit-based paradigms
- Presents in-depth analysis of quantum mechanical principles with special reference to multilevel quantum states
"Synopsis" may belong to another edition of this title.
About the Author
Hiranmoy Roy received a B.E. (CSE) degree from Burdwan University, an M. Tech. (CT) degree and PhD (Engg) from Jadavpur University, India, in 2003, 2009, and 2022, respectively. He is now with the RCC Institute of Information Technology, India, as an Associate Professor and HOD in the Department of IT. He is a lifetime member of IEI and has 21+ years of experience, including teaching. His main focus areas are heterogeneous face recognition, face recognition in the wild, generation of image descriptors, women harassment detection, human emotion recognition, image retrieval, biometric cryptography, optimization in deep learning, etc. The technologies he is dealing with are computer vision, deep learning, and image processing.
Jan Platos received a Ph.D. in computer science in 2010. He became a Full professor in 2021 at the Department of Computer Science. Since 2021, he has been Dean of the Faculty of Electrical Engineering and Computer Science, VSB-TUO. He has co-authored more than 240 scientific articles published in proceedings and journals. His primary fields of interest are machine learning, artificial intelligence, industrial data processing, text processing, data compression, bioinspired algorithms, information retrieval, data mining, data structures, and data prediction.
Leo Mršić is the Vice-Rector for science and research at Algebra University and Vice president for Technological Development at the National Council for Higher Education, Science and Technological Development, Head of BDV i-Silver Data Center Algebra LAB, Zagreb, Croatia. Permanent court expert in finance, accounting, bookkeeping, and informatics (12+ years) with a large number (150+) of successfully completed complex expertise procedures. He is also an IPMA A Certified Project Director with 100+ successfully completed complex projects.
Dr. Balamurugan Balusamy is currently working as an Associate Dean Student in Shiv Nadar Institution of Eminence, Delhi-NCR. He is part of the Top 2% Scientists Worldwide 2023 by Stanford University in the area of Data Science/AI/ML. He is also an Adjunct Professor in the Department of Computer Science and Information Engineering, Taylor University, Malaysia. His contributions focus on engineering education, blockchain, and data sciences
"About the title" may belong to another edition of this title.
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