Quantum Inspired Intelligent Systems

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Quantum Inspired Intelligent Systems

Author : Leandro dos Santos Coelho
Publisher : Springer
ISBN 13 : 3540785329
Total Pages : 156 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Quantum Inspired Intelligent Systems by : Leandro dos Santos Coelho

Download or read book Quantum Inspired Intelligent Systems written by Leandro dos Santos Coelho and published by Springer. This book was released on 2008-05-26 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on applying principles of quantum computing to improve the engineering of intelligent systems has been launched since late 1990s. This emergent research field concentrates on studying on quantum computing that is characterized by certain principles of quantum mechanics such as standing waves, interference, quantum bits, coherence, superposition of states, and concept of interference, combined with computational intelligence or soft computing approaches, such as artificial neural networks, fuzzy systems, evolutionary computing, swarm intelligence and hybrid soft computing methods. This volume offers a wide spectrum of research work developed using soft computing combined with quantum computing systems.

Quantum-Inspired Intelligent Systems for Multimedia Data Analysis

Author : Bhattacharyya, Siddhartha
Publisher : IGI Global
ISBN 13 : 1522552200
Total Pages : 329 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Quantum-Inspired Intelligent Systems for Multimedia Data Analysis by : Bhattacharyya, Siddhartha

Download or read book Quantum-Inspired Intelligent Systems for Multimedia Data Analysis written by Bhattacharyya, Siddhartha and published by IGI Global. This book was released on 2018-04-13 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: As multimedia data advances in technology and becomes more complex, the hybridization of soft computing tools allows for more robust and safe solutions in data processing and analysis. Quantum-Inspired Intelligent Systems for Multimedia Data Analysis provides emerging research on techniques used in multimedia information processing using intelligent paradigms including swarm intelligence, neural networks, and deep learning. While highlighting topics such as clustering techniques, neural network architecture, and text data processing, this publication explores the methods and applications of computational intelligent tools. This book is an important resource for academics, computer engineers, IT professionals, students, and researchers seeking current research in the field of multimedia data processing and quantum intelligent systems.

Quantum Inspired Intelligent Systems

Author : Leandro dos Santos Coelho
Publisher : Springer Science & Business Media
ISBN 13 : 3540785310
Total Pages : 168 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Quantum Inspired Intelligent Systems by : Leandro dos Santos Coelho

Download or read book Quantum Inspired Intelligent Systems written by Leandro dos Santos Coelho and published by Springer Science & Business Media. This book was released on 2008-05-29 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on applying principles of quantum computing to improve the engineering of intelligent systems has been launched since late 1990s. This emergent research field concentrates on studying on quantum computing that is characterized by certain principles of quantum mechanics such as standing waves, interference, quantum bits, coherence, superposition of states, and concept of interference, combined with computational intelligence or soft computing approaches, such as artificial neural networks, fuzzy systems, evolutionary computing, swarm intelligence and hybrid soft computing methods. This volume offers a wide spectrum of research work developed using soft computing combined with quantum computing systems.

Quantum Inspired Computational Intelligence

Author : Siddhartha Bhattacharyya
Publisher : Morgan Kaufmann
ISBN 13 : 9780128044094
Total Pages : 0 pages
Book Rating : 4.0/5 (44 download)

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Book Synopsis Quantum Inspired Computational Intelligence by : Siddhartha Bhattacharyya

Download or read book Quantum Inspired Computational Intelligence written by Siddhartha Bhattacharyya and published by Morgan Kaufmann. This book was released on 2016-09-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Quantum Inspired Computational Intelligence

Author : Siddhartha Bhattacharyya
Publisher : Morgan Kaufmann
ISBN 13 : 0128044373
Total Pages : 506 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Quantum Inspired Computational Intelligence by : Siddhartha Bhattacharyya

Download or read book Quantum Inspired Computational Intelligence written by Siddhartha Bhattacharyya and published by Morgan Kaufmann. This book was released on 2016-09-20 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Brings together quantum computing with computational intelligence to achieve enhanced performance and robust solutions Includes numerous case studies, tools, and technologies to apply the concepts to real world practice Provides the missing link between the research and practice

Intelligent Systems in Oil Field Development under Uncertainty

Author : Marco A. C. Pacheco
Publisher : Springer Science & Business Media
ISBN 13 : 3540929991
Total Pages : 296 pages
Book Rating : 4.5/5 (49 download)

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Book Synopsis Intelligent Systems in Oil Field Development under Uncertainty by : Marco A. C. Pacheco

Download or read book Intelligent Systems in Oil Field Development under Uncertainty written by Marco A. C. Pacheco and published by Springer Science & Business Media. This book was released on 2009-04-27 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The decision to invest in oil field development is an extremely complex problem, even in the absence of uncertainty, due to the great number of technological alternatives that may be used, to the dynamic complexity of oil reservoirs - which involves mul- phase flows (oil, gas and water) in porous media with phase change, and to the c- plicated combinatorial optimization problem of choosing the optimal oil well network, that is, choosing the number and types of wells (horizontal, vertical, directional, m- tilateral) required for draining oil from a field with a view to maximizing its economic value. This problem becomes even more difficult when technical uncertainty and e- nomic uncertainty are considered. The former are uncertainties regarding the existence, volume and quality of a reservoir and may encourage an investment in information before the field is developed, in order to reduce these uncertainties and thus optimize the heavy investments required for developing the reservoir. The economic or market uncertainties are associated with the general movements of the economy, such as oil prices, gas demand, exchange rates, etc. , and may lead decision-makers to defer - vestments and wait for better market conditions. Choosing the optimal investment moment under uncertainty is a complex problem which traditionally involves dynamic programming tools and other techniques that are used by the real options theory.

From Quantum Computing to Intelligence

Author : Michail Zak
Publisher :
ISBN 13 : 9781613248027
Total Pages : 273 pages
Book Rating : 4.2/5 (48 download)

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Book Synopsis From Quantum Computing to Intelligence by : Michail Zak

Download or read book From Quantum Computing to Intelligence written by Michail Zak and published by . This book was released on 2011 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book traces the roots of intelligence down to quantum physics, and in particular, to quantum natural computing. The concept of intelligence is formalized in such a way that it can be referred to both human and robots, and therefore, the book is focused on a phenomenology of intelligent behavior, in general, regardless of its biological or physical origin. The simplest patterns of intelligent behavior, that are generalization and abstraction, can be found in classical recurrent nets that simulate static, periodic and chaotic attractors. However, only introduction of quantum recurrent nets (QRN), quantum resonance (QR) phenomenon, and quantum-inspired (iQ) systems opens up a closer look to phenomenological similarity between quantum algorithms and paradigms of intelligent behavior.

Research Anthology on Artificial Intelligence Applications in Security

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1799877485
Total Pages : 2253 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Research Anthology on Artificial Intelligence Applications in Security by : Management Association, Information Resources

Download or read book Research Anthology on Artificial Intelligence Applications in Security written by Management Association, Information Resources and published by IGI Global. This book was released on 2020-11-27 with total page 2253 pages. Available in PDF, EPUB and Kindle. Book excerpt: As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.

Hybrid Metaheuristics: Research And Applications

Author : Bhattacharyya Siddhartha
Publisher : World Scientific
ISBN 13 : 9813270241
Total Pages : 312 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Hybrid Metaheuristics: Research And Applications by : Bhattacharyya Siddhartha

Download or read book Hybrid Metaheuristics: Research And Applications written by Bhattacharyya Siddhartha and published by World Scientific. This book was released on 2018-09-27 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: A metaheuristic is a higher-level procedure designed to select a partial search algorithm that may lead to a good solution to an optimization problem, especially with incomplete or imperfect information.This unique compendium focuses on the insights of hybrid metaheuristics. It illustrates the recent researches on evolving novel hybrid metaheuristic algorithms, and prominently highlights its diverse application areas. As such, the book helps readers to grasp the essentials of hybrid metaheuristics and to address real world problems.The must-have volume serves as an inspiring read for professionals, researchers, academics and graduate students in the fields of artificial intelligence, robotics and machine learning.

Hybrid Quantum Metaheuristics

Author : Siddhartha Bhattacharyya
Publisher : CRC Press
ISBN 13 : 1000578208
Total Pages : 324 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Hybrid Quantum Metaheuristics by : Siddhartha Bhattacharyya

Download or read book Hybrid Quantum Metaheuristics written by Siddhartha Bhattacharyya and published by CRC Press. This book was released on 2022-05-07 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The reference text introduces the principles of quantum mechanics to evolve hybrid metaheuristics-based optimization techniques useful for real world engineering and scientific problems. The text covers advances and trends in methodological approaches, theoretical studies, mathematical and applied techniques related to hybrid quantum metaheuristics and their applications to engineering problems. The book will be accompanied by additional resources including video demonstration for each chapter. It will be a useful text for graduate students and professional in the field of electrical engineering, electronics and communications engineering, and computer science engineering, this text: Discusses quantum mechanical principles in detail. Emphasizes the recent and upcoming hybrid quantum metaheuristics in a comprehensive manner. Provides comparative statistical test analysis with conventional hybrid metaheuristics. Highlights real-life case studies, applications, and video demonstrations.

Handbook of Research on Applications of AI, Digital Twin, and Internet of Things for Sustainable Development

Author : Mishra, Brojo Kishore
Publisher : IGI Global
ISBN 13 : 1668468239
Total Pages : 565 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Handbook of Research on Applications of AI, Digital Twin, and Internet of Things for Sustainable Development by : Mishra, Brojo Kishore

Download or read book Handbook of Research on Applications of AI, Digital Twin, and Internet of Things for Sustainable Development written by Mishra, Brojo Kishore and published by IGI Global. This book was released on 2023-02-17 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid growth and capability of artificial intelligence, digital twin, and the internet of things are unlocking incredible opportunities to overcome some of the greatest environmental and social impact challenges currently facing the global community, such as feeding a growing population, safety, affordable housing, and environmental sustainability. The Handbook of Research on Applications of AI, Digital Twin, and Internet of Things for Sustainable Development provides an interdisciplinary platform encompassing research on the potential opportunities and risks of reaching sustainable development using artificial intelligence, digital twin, and the internet of things. Covering key topics such as big data, environmental protection, and smart cities, this major reference work is ideal for computer scientists, industry professionals, researchers, scholars, academicians, librarians, policymakers, practitioners, educators, and students.

Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)

Author : Natalio Krasnogor
Publisher : Springer Science & Business Media
ISBN 13 : 3540789863
Total Pages : 520 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) by : Natalio Krasnogor

Download or read book Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) written by Natalio Krasnogor and published by Springer Science & Business Media. This book was released on 2008-05-14 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biological and natural processes have been a continuous source of inspiration for the sciences and engineering. For instance, the work of Wiener in cybernetics was influenced by feedback control processes observable in biological systems; McCulloch and Pitts description of the artificial neuron was instigated by biological observations of neural mechanisms; the idea of survival of the fittest inspired the field of evolutionary algorithms and similarly, artificial immune systems, ant colony optimisation, automated self-assembling programming, membrane computing, etc. also have their roots in natural phenomena. The second International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO), was held in Acireale, Italy, during November 8-10, 2007. The aim for NICSO 2007 was to provide a forum were the latest ideas and state of the art research related to cooperative strategies for problem solving arising from Nature could be discussed. The contributions collected in this book were strictly peer reviewed by at least three members of the international programme committee, to whom we are indebted for their support and assistance. The topics covered by the contributions include several well established nature inspired techniques like Genetic Algorithms, Ant Colonies, Artificial Immune Systems, Evolutionary Robotics, Evolvable Systems, Membrane Computing, Quantum Computing, Software Self Assembly, Swarm Intelligence, etc.

Artificial Intelligence: Methodology, Systems, and Applications

Author : Gennady Agre
Publisher : Springer
ISBN 13 : 331910554X
Total Pages : 302 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Artificial Intelligence: Methodology, Systems, and Applications by : Gennady Agre

Download or read book Artificial Intelligence: Methodology, Systems, and Applications written by Gennady Agre and published by Springer. This book was released on 2014-09-04 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2014, held in Varna, Bulgaria in September 2014. The 14 revised full papers and 9 short papers presented were carefully reviewed and selected from 53 submissions. The range of topics is almost equally broad, from traditional areas such as computer vision and natural language processing to emerging areas such as mining the behavior of Web-based communities.

Quantum Machine Learning

Author : Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110670704
Total Pages : 131 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Quantum Machine Learning by : Siddhartha Bhattacharyya

Download or read book Quantum Machine Learning written by Siddhartha Bhattacharyya and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-06-08 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices.

Recent Trends in Signal and Image Processing

Author : Siddhartha Bhattacharyya
Publisher : Springer
ISBN 13 : 9811367833
Total Pages : 135 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Recent Trends in Signal and Image Processing by : Siddhartha Bhattacharyya

Download or read book Recent Trends in Signal and Image Processing written by Siddhartha Bhattacharyya and published by Springer. This book was released on 2019-03-16 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents fascinating, state-of-the-art research findings in the field of signal and image processing. It includes conference papers covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction and fractal analysis. It addresses various types of signals, such as image, video, speech, non-speech audio, handwritten text, geometric diagram, ECG and EMG signals; MRI, PET and CT scan images; THz signals; solar wind speed signals (SWS); and photoplethysmogram (PPG) signals, and demonstrates how new paradigms of intelligent computing, like quantum computing, can be applied to process and analyze signals precisely and effectively. The book also discusses applications of hybrid methods, algorithms and image filters, which are proving to be better than the individual techniques or algorithms.

Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods

Author : Minis, Ioannis
Publisher : IGI Global
ISBN 13 : 1615206345
Total Pages : 338 pages
Book Rating : 4.6/5 (152 download)

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Book Synopsis Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods by : Minis, Ioannis

Download or read book Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods written by Minis, Ioannis and published by IGI Global. This book was released on 2010-12-31 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence (CI) is a term corresponding to a new generation of algorithmic methodologies in artificial intelligence, which combines elements of learning, adaptation, evolution and approximate (fuzzy) reasoning to create programs that can be considered intelligent. Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods presents computational intelligence methods for addressing supply chain issues. Emphasis is given to techniques that provide effective solutions to complex supply chain problems and exhibit superior performance to other methods of operations research.

Intelligent Quantum Information Processing

Author : Siddhartha Bhattacharyya
Publisher : CRC Press
ISBN 13 : 104002291X
Total Pages : 255 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Quantum Information Processing by : Siddhartha Bhattacharyya

Download or read book Intelligent Quantum Information Processing written by Siddhartha Bhattacharyya and published by CRC Press. This book was released on 2024-05-09 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book discusses the foundations of intelligent quantum information processing applied to several real-life engineering problems, including intelligent quantum systems, intelligent quantum communication, intelligent process optimization, and intelligent quantum distributed networks. This book: • Showcases a detailed overview of different quantum machine learning algorithmic frameworks. • Presents real-life case studies and applications. • Provides an in-depth analysis of quantum mechanical principles. • Provides a step-by-step guide in the build-up of quantum inspired/quantum intelligent information processing systems. • Provides a video demonstration on each chapter for better understanding. It will serve as an ideal reference text for graduate students and academic researchers in fields such as electrical engineering, electronics and communication engineering, computer engineering, and information technology.