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Quantum Inspired Computational Intelligence

Quantum Inspired Computational Intelligence
  • Author : Siddhartha Bhattacharyya
  • Publsiher : Morgan Kaufmann
  • Release : 20 September 2016
  • ISBN : 0128044373
  • Pages : 506 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKQuantum Inspired Computational Intelligence

Summary:
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


Quantum Inspired Computational Intelligence

Quantum Inspired Computational Intelligence
  • Author : Siddhartha Bhattacharyya,Ujjwal Maulik,Paramartha Dutta
  • Publisher : Morgan Kaufmann
  • Release : 20 September 2016
GET THIS BOOKQuantum Inspired Computational Intelligence

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

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Quantum Inspired Computational Intelligence

Quantum Inspired Computational Intelligence
  • Author : Siddhartha Bhattacharyya,Ujjwal Maulik,Paramartha Dutta
  • Publisher : Morgan Kaufmann
  • Release : 15 September 2016
GET THIS BOOKQuantum Inspired Computational Intelligence

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

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Quantum Inspired Intelligent Systems

Quantum Inspired Intelligent Systems
  • Author : Leandro dos Santos Coelho
  • Publisher : Springer Science & Business Media
  • Release : 29 May 2008
GET THIS BOOKQuantum Inspired Intelligent Systems

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

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Handbook of Research on Soft Computing and Nature-Inspired Algorithms

Handbook of Research on Soft Computing and Nature-Inspired Algorithms
  • Author : Shandilya, Shishir K.,Shandilya, Smita,Deep, Kusum,Nagar, Atulya K.
  • Publisher : IGI Global
  • Release : 10 March 2017
GET THIS BOOKHandbook of Research on Soft Computing and Nature-Inspired Algorithms

Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the learning process of machines. The Handbook of Research on Soft Computing and Nature-Inspired Algorithms is an essential source for the latest scholarly research on applications of nature-inspired computing and soft computational systems. Featuring comprehensive coverage on a range of topics and perspectives such as swarm intelligence, speech recognition, and electromagnetic problem solving,

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Quantum Inspired Meta-heuristics for Image Analysis

Quantum Inspired Meta-heuristics for Image Analysis
  • Author : Sandip Dey,Siddhartha Bhattacharyya,Ujjwal Maulik
  • Publisher : John Wiley & Sons
  • Release : 03 June 2019
GET THIS BOOKQuantum Inspired Meta-heuristics for Image Analysis

Introduces quantum inspired techniques for image analysis for pure and true gray scale/color images in a single/multi-objective environment This book will entice readers to design efficient meta-heuristics for image analysis in the quantum domain. It introduces them to the essence of quantum computing paradigm, its features, and properties, and elaborates on the fundamentals of different meta-heuristics and their application to image analysis. As a result, it will pave the way for designing and developing quantum computing inspired meta-heuristics

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Quantum-Inspired Intelligent Systems for Multimedia Data Analysis

Quantum-Inspired Intelligent Systems for Multimedia Data Analysis
  • Author : Bhattacharyya, Siddhartha
  • Publisher : IGI Global
  • Release : 13 April 2018
GET THIS BOOKQuantum-Inspired Intelligent Systems for Multimedia Data Analysis

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

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Quantum Computing:An Environment for Intelligent Large Scale Real Application

Quantum Computing:An Environment for Intelligent Large Scale Real Application
  • Author : Aboul Ella Hassanien,Mohamed Elhoseny,Janusz Kacprzyk
  • Publisher : Springer
  • Release : 13 October 2017
GET THIS BOOKQuantum Computing:An Environment for Intelligent Large Scale Real Application

This book highlights practical quantum key distribution systems and research on the implementations of next-generation quantum communication, as well as photonic quantum device technologies. It discusses how the advances in quantum computing and quantum physics have allowed the building, launching and deploying of space exploration systems that are capable of more and more as they become smaller and lighter. It also presents theoretical and experimental research on the potential and limitations of secure communication and computation with quantum devices, and

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Challenges for Computational Intelligence

Challenges for Computational Intelligence
  • Author : Wlodzislaw Duch,Jacek Mandziuk
  • Publisher : Springer Science & Business Media
  • Release : 26 June 2007
GET THIS BOOKChallenges for Computational Intelligence

In recent years computational intelligence has been extended by adding many other subdisciplines and this new field requires a series of challenging problems that will give it a sense of direction in order to ensure that research efforts are not wasted. This book written by top experts in computational intelligence provides such clear directions and a much-needed focus on the most important and challenging research issues.

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Research Anthology on Artificial Intelligence Applications in Security

Research Anthology on Artificial Intelligence Applications in Security
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 27 November 2020
GET THIS BOOKResearch Anthology on Artificial Intelligence Applications in Security

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

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Bio-Inspired Computational Intelligence and Applications

Bio-Inspired Computational Intelligence and Applications
  • Author : Minrui Fei,George W. Irwin,Shiwei Ma
  • Publisher : Springer
  • Release : 26 August 2007
GET THIS BOOKBio-Inspired Computational Intelligence and Applications

This book is part of a two-volume work that constitutes the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2007, held in Shanghai, China, September 2007. Coverage includes advanced neural network theory, advanced evolutionary computing theory, ant colonies and particle swarm optimization, intelligent modeling, monitoring, and control of complex nonlinear systems, as well as biomedical signal processing, imaging and visualization.

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Computational Intelligence, Theory and Applications

Computational Intelligence, Theory and Applications
  • Author : Bernd Reusch
  • Publisher : Springer Science & Business Media
  • Release : 09 September 2006
GET THIS BOOKComputational Intelligence, Theory and Applications

This book constitutes the refereed proceedings of the 9th Dortmund Fuzzy Days, Dortmund, Germany, 2006. This conference has established itself as an international forum for the discussion of new results in the field of Computational Intelligence. The papers presented here, all thoroughly reviewed, are devoted to foundational and practical issues in fuzzy systems, neural networks, evolutionary algorithms, and machine learning and thus cover the whole range of computational intelligence.

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Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence
  • Author : Nikola K. Kasabov
  • Publisher : Springer
  • Release : 29 August 2018
GET THIS BOOKTime-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI

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Artificial Intelligence and Quantum Computing for Advanced Wireless Networks

Artificial Intelligence and Quantum Computing for Advanced Wireless Networks
  • Author : Savo G. Glisic,Beatriz Lorenzo
  • Publisher : John Wiley & Sons
  • Release : 13 April 2022
GET THIS BOOKArtificial Intelligence and Quantum Computing for Advanced Wireless Networks

ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR ADVANCED WIRELESS NETWORKS A practical overview of the implementation of artificial intelligence and quantum computing technology in large-scale communication networks Increasingly dense and flexible wireless networks require the use of artificial intelligence (AI) for planning network deployment, optimization, and dynamic control. Machine learning algorithms are now often used to predict traffic and network state in order to reserve resources for smooth communication with high reliability and low latency. In Artificial Intelligence and Quantum Computing

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Proceedings of Second Doctoral Symposium on Computational Intelligence

Proceedings of Second Doctoral Symposium on Computational Intelligence
  • Author : Deepak Gupta,Ashish Khanna,Vineet Kansal,Giancarlo Fortino,Aboul Ella Hassanien
  • Publisher : Springer Nature
  • Release : 21 October 2021
GET THIS BOOKProceedings of Second Doctoral Symposium on Computational Intelligence

This book features high-quality research papers presented at Second Doctoral Symposium on Computational Intelligence (DoSCI-2021), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on 6 March 2021. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, decision support

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Hybrid Quantum Metaheuristics

Hybrid Quantum Metaheuristics
  • Author : Siddhartha Bhattacharyya,Mario Köppen,Elizabeth Behrman,Ivan Cruz-Aceves
  • Publisher : CRC Press
  • Release : 08 May 2022
GET THIS BOOKHybrid Quantum Metaheuristics

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,

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