Quantum Inspired Computational Intelligence

Quantum Inspired Computational Intelligence
Author: Siddhartha Bhattacharyya,Ujjwal Maulik,Paramartha Dutta
Publsiher: Morgan Kaufmann
Total Pages: 506
Release: 2016-09-20
ISBN 10: 0128044373
ISBN 13: 9780128044377
Language: EN, FR, DE, ES & NL

Quantum Inspired Computational Intelligence Book Review:

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 Intelligent Systems

Quantum Inspired Intelligent Systems
Author: Leandro dos Santos Coelho
Publsiher: Springer Science & Business Media
Total Pages: 156
Release: 2008-05-29
ISBN 10: 3540785310
ISBN 13: 9783540785316
Language: EN, FR, DE, ES & NL

Quantum Inspired Intelligent Systems Book Review:

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

Quantum Inspired Computational Intelligence
Author: Siddhartha Bhattacharyya,Ujjwal Maulik,Paramartha Dutta
Publsiher: Morgan Kaufmann
Total Pages: 506
Release: 2016-09-15
ISBN 10: 9780128044094
ISBN 13: 0128044098
Language: EN, FR, DE, ES & NL

Quantum Inspired Computational Intelligence Book Review:

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 Intelligent Systems for Multimedia Data Analysis

Quantum Inspired Intelligent Systems for Multimedia Data Analysis
Author: Bhattacharyya, Siddhartha
Publsiher: IGI Global
Total Pages: 329
Release: 2018-04-13
ISBN 10: 1522552200
ISBN 13: 9781522552208
Language: EN, FR, DE, ES & NL

Quantum Inspired Intelligent Systems for Multimedia Data Analysis Book Review:

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.

Bio Inspired Computational Intelligence and Applications

Bio Inspired Computational Intelligence and Applications
Author: Minrui Fei,George W. Irwin,Shiwei Ma
Publsiher: Springer
Total Pages: 808
Release: 2007-08-26
ISBN 10: 3540747699
ISBN 13: 9783540747697
Language: EN, FR, DE, ES & NL

Bio Inspired Computational Intelligence and Applications Book Review:

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.

Time Space Spiking Neural Networks and Brain Inspired Artificial Intelligence

Time Space  Spiking Neural Networks and Brain Inspired Artificial Intelligence
Author: Nikola K. Kasabov
Publsiher: Springer
Total Pages: 738
Release: 2018-08-29
ISBN 10: 3662577151
ISBN 13: 9783662577158
Language: EN, FR, DE, ES & NL

Time Space Spiking Neural Networks and Brain Inspired Artificial Intelligence Book Review:

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 systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.

Quantum Inspired Meta heuristics for Image Analysis

Quantum Inspired Meta heuristics for Image Analysis
Author: Sandip Dey,Siddhartha Bhattacharyya,Ujjwal Maulik
Publsiher: John Wiley & Sons
Total Pages: 358
Release: 2019-06-03
ISBN 10: 1119488788
ISBN 13: 9781119488781
Language: EN, FR, DE, ES & NL

Quantum Inspired Meta heuristics for Image Analysis Book Review:

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 to be applied to image analysis. Quantum Inspired Meta-heuristics for Image Analysis begins with a brief summary on image segmentation, quantum computing, and optimization. It also highlights a few relevant applications of the quantum based computing algorithms, meta-heuristics approach, and several thresholding algorithms in vogue. Next, it discusses a review of image analysis before moving on to an overview of six popular meta-heuristics and their algorithms and pseudo-codes. Subsequent chapters look at quantum inspired meta-heuristics for bi-level and gray scale multi-level image thresholding; quantum behaved meta-heuristics for true color multi-level image thresholding; and quantum inspired multi-objective algorithms for gray scale multi-level image thresholding. Each chapter concludes with a summary and sample questions. Provides in-depth analysis of quantum mechanical principles Offers comprehensive review of image analysis Analyzes different state-of-the-art image thresholding approaches Detailed current, popular standard meta-heuristics in use today Guides readers step by step in the build-up of quantum inspired meta-heuristics Includes a plethora of real life case studies and applications Features statistical test analysis of the performances of the quantum inspired meta-heuristics vis-à-vis their conventional counterparts Quantum Inspired Meta-heuristics for Image Analysis is an excellent source of information for anyone working with or learning quantum inspired meta-heuristics for image analysis.

Research Anthology on Artificial Intelligence Applications in Security

Research Anthology on Artificial Intelligence Applications in Security
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 2253
Release: 2020-11-27
ISBN 10: 1799877485
ISBN 13: 9781799877486
Language: EN, FR, DE, ES & NL

Research Anthology on Artificial Intelligence Applications in Security Book Review:

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.

Challenges for Computational Intelligence

Challenges for Computational Intelligence
Author: Wlodzislaw Duch,Jacek Mandziuk
Publsiher: Springer Science & Business Media
Total Pages: 487
Release: 2007-06-26
ISBN 10: 3540719830
ISBN 13: 9783540719830
Language: EN, FR, DE, ES & NL

Challenges for Computational Intelligence Book Review:

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.

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
Publsiher: Springer
Total Pages: 505
Release: 2017-10-13
ISBN 10: 3319636391
ISBN 13: 9783319636399
Language: EN, FR, DE, ES & NL

Quantum Computing An Environment for Intelligent Large Scale Real Application Book Review:

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 explores how security can be preserved in the presence of a quantum computer, and how to achieve long-distance quantum communication. The development of a real quantum computer is still in the early stages, but a number of research groups have investigated the theoretical possibilities of such computers.

Computational Intelligence Theory and Applications

Computational Intelligence  Theory and Applications
Author: Bernd Reusch
Publsiher: Springer Science & Business Media
Total Pages: 802
Release: 2006-09-09
ISBN 10: 3540347836
ISBN 13: 9783540347835
Language: EN, FR, DE, ES & NL

Computational Intelligence Theory and Applications Book Review:

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.

Hybrid Evolutionary Algorithms

Hybrid Evolutionary Algorithms
Author: Crina Grosan,Ajith Abraham,Hisao Ishibuchi
Publsiher: Springer
Total Pages: 404
Release: 2007-08-29
ISBN 10: 3540732977
ISBN 13: 9783540732976
Language: EN, FR, DE, ES & NL

Hybrid Evolutionary Algorithms Book Review:

This edited volume is targeted at presenting the latest state-of-the-art methodologies in "Hybrid Evolutionary Algorithms". The chapters deal with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. Overall, the book has 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. The contributions were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.

Quantum Machine Learning

Quantum Machine Learning
Author: Siddhartha Bhattacharyya,Indrajit Pan,Ashish Mani,Sourav De,Elizabeth Behrman,Susanta Chakraborti
Publsiher: Walter de Gruyter GmbH & Co KG
Total Pages: 131
Release: 2020-06-08
ISBN 10: 3110670704
ISBN 13: 9783110670707
Language: EN, FR, DE, ES & NL

Quantum Machine Learning Book Review:

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.

Hybrid Computational Intelligence

Hybrid Computational Intelligence
Author: Siddhartha Bhattacharyya,Václav Snášel,Deepak Gupta,Ashish Khanna
Publsiher: Academic Press
Total Pages: 250
Release: 2020-03-05
ISBN 10: 012818700X
ISBN 13: 9780128187005
Language: EN, FR, DE, ES & NL

Hybrid Computational Intelligence Book Review:

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems. Provides insights into the latest research trends in hybrid intelligent algorithms and architectures Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction Features hybrid intelligent applications in biomedical engineering and healthcare informatics

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.
Publsiher: IGI Global
Total Pages: 627
Release: 2017-03-10
ISBN 10: 1522521291
ISBN 13: 9781522521297
Language: EN, FR, DE, ES & NL

Handbook of Research on Soft Computing and Nature Inspired Algorithms Book Review:

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, this publication is ideally designed for students, researchers, scholars, professionals, and practitioners seeking current research on the advanced workings of intelligence in computing systems.

Foreign Direct Investments

Foreign Direct Investments
Author: Information Resources Management Association
Publsiher: Unknown
Total Pages: 2250
Release: 2020
ISBN 10: 9781799824480
ISBN 13: 1799824489
Language: EN, FR, DE, ES & NL

Foreign Direct Investments Book Review:

""This book explores the importance of global stocks to economic structures and explores the effects that these holdings have on the financial status of nations. It also provides a systems approach to investment projects in a globalized and open society"--Provided by publisher"--

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
Publsiher: Springer Nature
Total Pages: 923
Release: 2021-10-21
ISBN 10: 9811633460
ISBN 13: 9789811633461
Language: EN, FR, DE, ES & NL

Proceedings of Second Doctoral Symposium on Computational Intelligence Book Review:

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 and decision making.

Computational Intelligence in Data Mining Volume 2

Computational Intelligence in Data Mining   Volume 2
Author: Lakhmi C. Jain,Himansu Sekhar Behera,Jyotsna Kumar Mandal,Durga Prasad Mohapatra
Publsiher: Springer
Total Pages: 707
Release: 2014-12-10
ISBN 10: 8132222083
ISBN 13: 9788132222088
Language: EN, FR, DE, ES & NL

Computational Intelligence in Data Mining Volume 2 Book Review:

The contributed volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.

Computational Intelligence Methods in COVID 19 Surveillance Prevention Prediction and Diagnosis

Computational Intelligence Methods in COVID 19  Surveillance  Prevention  Prediction and Diagnosis
Author: Khalid Raza
Publsiher: Springer Nature
Total Pages: 436
Release: 2020-10-16
ISBN 10: 9811585342
ISBN 13: 9789811585340
Language: EN, FR, DE, ES & NL

Computational Intelligence Methods in COVID 19 Surveillance Prevention Prediction and Diagnosis Book Review:

The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.

Cloud Computing and Security

Cloud Computing and Security
Author: Xingming Sun,Han-Chieh Chao,Xingang You,Elisa Bertino
Publsiher: Springer
Total Pages: 879
Release: 2017-10-31
ISBN 10: 3319685422
ISBN 13: 9783319685427
Language: EN, FR, DE, ES & NL

Cloud Computing and Security Book Review:

This two volume set LNCS 10602 and LNCS 10603 constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Cloud Computing and Security, ICCCS 2017, held in Nanjing, China, in June 2017. The 116 full papers and 11 short papers of these volumes were carefully reviewed and selected from 391 submissions. The papers are organized in topical sections such as: information hiding; cloud computing; IOT applications; information security; multimedia applications; optimization and classification.