Hybrid Intelligence For Social Networks

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Hybrid Intelligence for Social Networks

Author : Hema Banati
Publisher : Springer
ISBN 13 : 3319651390
Total Pages : 333 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Hybrid Intelligence for Social Networks by : Hema Banati

Download or read book Hybrid Intelligence for Social Networks written by Hema Banati and published by Springer. This book was released on 2017-11-28 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social network metrics using a hybrid approach; Chaps. 3 to 8 focus on the prime research areas in social networks: community detection, influence maximization and opinion mining. Chapter 9 to 13 concentrate on studying the impact and use of social networks in society, primarily in education, commerce, and crowd sourcing. The contributions provide a multidimensional approach, and the book will serve graduate students and researchers as a reference in computer science, electronics engineering, communications, and information technology.

Hybrid Computational Intelligence

Author : Siddhartha Bhattacharyya
Publisher : Academic Press
ISBN 13 : 012818700X
Total Pages : 250 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Hybrid Computational Intelligence by : Siddhartha Bhattacharyya

Download or read book Hybrid Computational Intelligence written by Siddhartha Bhattacharyya and published by Academic Press. This book was released on 2020-03-05 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Introduction to Hybrid Intelligent Networks

Author : Zhi-Hong Guan
Publisher : Springer
ISBN 13 : 3030021610
Total Pages : 292 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Introduction to Hybrid Intelligent Networks by : Zhi-Hong Guan

Download or read book Introduction to Hybrid Intelligent Networks written by Zhi-Hong Guan and published by Springer. This book was released on 2019-02-01 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the fundamental principles, new theories and methodologies, and potential applications of hybrid intelligent networks. Chapters focus on hybrid neural networks and networked multi-agent networks, including their communication, control and optimization synthesis. This text also provides a succinct but useful guideline for designing neural network-based hybrid artificial intelligence for brain-inspired computation systems and applications in the Internet of Things. Artificial Intelligence has developed into a deep research field targeting robots with more brain-inspired perception, learning, decision-making abilities, etc. This text devoted to a tutorial on hybrid intelligent networks that have been identified in nature and engineering, especially in the brain, modeled by hybrid dynamical systems and complex networks, and have shown potential application to brain-inspired intelligence. Included in this text are impulsive neural networks, neurodynamics, multiagent networks, hybrid dynamics analysis, collective dynamics, as well as hybrid communication, control and optimization methods. Graduate students who are interested in artificial intelligence and hybrid intelligence, as well as professors and graduate students who are interested in neural networks and multiagent networks will find this textbook a valuable resource. AI engineers and consultants who are working in wireless communications and networking will want to buy this book. Also, professional and academic institutions in universities and Mobile vehicle companies and engineers and managers who concern humans in the loop of IoT will also be interested in this book.

Hybrid Intelligent Systems

Author : Ajith Abraham
Publisher : Springer Nature
ISBN 13 : 3030730506
Total Pages : 817 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Hybrid Intelligent Systems by : Ajith Abraham

Download or read book Hybrid Intelligent Systems written by Ajith Abraham and published by Springer Nature. This book was released on 2021-04-16 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 58 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2020) and 20 papers from the 12th World Congress on Nature and Biologically Inspired Computing (NaBIC 2020), which was held online, from December 14 to 16, 2020. A premier conference in the field of artificial intelligence, HIS - NaBIC 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of science and engineering.

Artificial Intelligence Systems Based on Hybrid Neural Networks

Author : Michael Zgurovsky
Publisher : Springer Nature
ISBN 13 : 303048453X
Total Pages : 527 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Artificial Intelligence Systems Based on Hybrid Neural Networks by : Michael Zgurovsky

Download or read book Artificial Intelligence Systems Based on Hybrid Neural Networks written by Michael Zgurovsky and published by Springer Nature. This book was released on 2020-09-03 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning. The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms.

Security Issues and Privacy Concerns in Industry 4.0 Applications

Author : Shibin David
Publisher : John Wiley & Sons
ISBN 13 : 1119775620
Total Pages : 274 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Security Issues and Privacy Concerns in Industry 4.0 Applications by : Shibin David

Download or read book Security Issues and Privacy Concerns in Industry 4.0 Applications written by Shibin David and published by John Wiley & Sons. This book was released on 2021-08-24 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: SECURITY ISSUES AND PRIVACY CONCERNS IN INDUSTRY 4.0 APPLICATIONS Written and edited by a team of international experts, this is the most comprehensive and up-to-date coverage of the security and privacy issues surrounding Industry 4.0 applications, a must-have for any library. The scope of Security Issues and Privacy Concerns in Industry 4.0 Applications is to envision the need for security in Industry 4.0 applications and the research opportunities for the future. This book discusses the security issues in Industry 4.0 applications for research development. It will also enable the reader to develop solutions for the security threats and attacks that prevail in the industry. The chapters will be framed on par with advancements in the industry in the area of Industry 4.0 with its applications in additive manufacturing, cloud computing, IoT (Internet of Things), and many others. This book helps a researcher and an industrial specialist to reflect on the latest trends and the need for technological change in Industry 4.0. Smart water management using IoT, cloud security issues with network forensics, regional language recognition for industry 4.0, IoT-based health care management systems, artificial intelligence for fake profile detection, and packet drop detection in agriculture-based IoT are covered in this outstanding new volume. Leading innovations such as smart drone for railway track cleaning, everyday life-supporting blockchain and big data, effective prediction using machine learning, classification of dog breed based on CNN, load balancing using the SPE approach and cyber culture impact on media consumers are also addressed. Whether a reference for the veteran engineer or an introduction to the technologies covered in the book for the student, this is a must-have for any library.

Social Networks: A Framework of Computational Intelligence

Author : Witold Pedrycz
Publisher : Springer
ISBN 13 : 9783319374871
Total Pages : 0 pages
Book Rating : 4.3/5 (748 download)

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Book Synopsis Social Networks: A Framework of Computational Intelligence by : Witold Pedrycz

Download or read book Social Networks: A Framework of Computational Intelligence written by Witold Pedrycz and published by Springer. This book was released on 2016-08-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides the audience with an updated, in-depth and highly coherent material on the conceptually appealing and practically sound information technology of Computational Intelligence applied to the analysis, synthesis and evaluation of social networks. The volume involves studies devoted to key issues of social networks including community structure detection in networks, online social networks, knowledge growth and evaluation, and diversity of collaboration mechanisms. The book engages a wealth of methods of Computational Intelligence along with well-known techniques of linear programming, Formal Concept Analysis, machine learning, and agent modeling. Human-centricity is of paramount relevance and this facet manifests in many ways including personalized semantics, trust metric, and personal knowledge management; just to highlight a few of these aspects. The contributors to this volume report on various essential applications including cyber attacks detection, building enterprise social networks, business intelligence and forming collaboration schemes. Given the subject area, this book is aimed at a broad audience of researchers and practitioners. Owing to the nature of the material being covered and a way it is organized, the volume will appeal to the well-established communities including those active in various disciplines in which social networks, their analysis and optimization are of genuine relevance. Those involved in operations research, management, various branches of engineering, and economics will benefit from the exposure to the subject matter.

Handbook of Research on Cyber Crime and Information Privacy

Author : Cruz-Cunha, Maria Manuela
Publisher : IGI Global
ISBN 13 : 1799857298
Total Pages : 753 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Cyber Crime and Information Privacy by : Cruz-Cunha, Maria Manuela

Download or read book Handbook of Research on Cyber Crime and Information Privacy written by Cruz-Cunha, Maria Manuela and published by IGI Global. This book was released on 2020-08-21 with total page 753 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, industries have transitioned into the digital realm, as companies and organizations are adopting certain forms of technology to assist in information storage and efficient methods of production. This dependence has significantly increased the risk of cyber crime and breaches in data security. Fortunately, research in the area of cyber security and information protection is flourishing; however, it is the responsibility of industry professionals to keep pace with the current trends within this field. The Handbook of Research on Cyber Crime and Information Privacy is a collection of innovative research on the modern methods of crime and misconduct within cyber space. It presents novel solutions to securing and preserving digital information through practical examples and case studies. While highlighting topics including virus detection, surveillance technology, and social networks, this book is ideally designed for cybersecurity professionals, researchers, developers, practitioners, programmers, computer scientists, academicians, security analysts, educators, and students seeking up-to-date research on advanced approaches and developments in cyber security and information protection.

Hybrid Computational Intelligent Systems

Author : Siddhartha Bhattacharyya
Publisher : CRC Press
ISBN 13 : 1000862054
Total Pages : 560 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Hybrid Computational Intelligent Systems by : Siddhartha Bhattacharyya

Download or read book Hybrid Computational Intelligent Systems written by Siddhartha Bhattacharyya and published by CRC Press. This book was released on 2023-05-03 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid Computational Intelligent Systems – Modeling, Simulation and Optimization unearths the latest advances in evolving hybrid intelligent modeling and simulation of human-centric data-intensive applications optimized for real-time use, thereby enabling researchers to come up with novel breakthroughs in this ever-growing field. Salient features include the fundamentals of modeling and simulation with recourse to knowledge-based simulation, interaction paradigms, and human factors, along with the enhancement of the existing state of art in a high-performance computing setup. In addition, this book presents optimization strategies to evolve robust and failsafe intelligent system modeling and simulation. The volume also highlights novel applications for different engineering problems including signal and data processing, speech, image, sensor data processing, innovative intelligent systems, and swarm intelligent manufacturing systems. Features: A self-contained approach to integrating the principles of hybrid computational ntelligence with system modeling and simulation Well-versed foundation of computational intelligence and its application to real life engineering problems Elucidates essential background, concepts, definitions, and theories thereby putting forward a complete treatment on the subject Effective modeling of hybrid intelligent systems forms the backbone of almost every operative system in real-life Proper simulation of real-time hybrid intelligent systems is a prerequisite for deriving any real-life system solution Optimized system modeling and simulation enable real-time and failsafe operations of the existing hybrid intelligent system solutions Information presented in an accessible way for researchers, engineers, developers, and practitioners from academia and industry working in all major areas and interdisciplinary areas of hybrid computational intelligence and communication systems to evolve human-centered modeling and simulations of real-time data-intensive intelligent systems.

Hybrid Artificial Intelligent Systems

Author : Enrique Onieva
Publisher : Springer
ISBN 13 : 3319196448
Total Pages : 750 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Hybrid Artificial Intelligent Systems by : Enrique Onieva

Download or read book Hybrid Artificial Intelligent Systems written by Enrique Onieva and published by Springer. This book was released on 2015-05-29 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 10th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2015, held Bilbao, Spain, June 2014. The 60 papers published in this volume were carefully reviewed and selected from 190 submissions. They are organized in topical sections such as data mining and knowledge discovery; video and image analysis; bio-inspired models and evolutionary computation; learning algorithms; hybrid intelligent systems for data mining and applications; classification and cluster analysis, HAIS applications.

Hybrid Intelligence for Smart Grid Systems

Author : Seelam VSV Prabhu Deva Kumar
Publisher : CRC Press
ISBN 13 : 1000468100
Total Pages : 207 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Hybrid Intelligence for Smart Grid Systems by : Seelam VSV Prabhu Deva Kumar

Download or read book Hybrid Intelligence for Smart Grid Systems written by Seelam VSV Prabhu Deva Kumar and published by CRC Press. This book was released on 2021-10-21 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of distributed control and distributed optimization theory, followed by specific details on industrial applications to smart grid systems. It discusses the fundamental analysis and design schemes for developing actual working smart grids and covers all aspects concerning the conventional and nonconventional methods of their use. Hybrid Intelligence for Smart Grid Systems provides an overview of a smart grid, along with its needs, benefits, challenges, and existing structure and describes the inverter topologies adopted for integrating renewable power, and provides an overview of its needs, benefits, challenges, and possible future technologies. This pioneering book is a must-read for researchers, engineering professionals, and students, giving them the tools needed to move from the concept of a smart grid to its actual design and implementation. Moreover, it will enable regulators, policymakers, and energy executives to understand the future of energy delivery systems towards safe, economical, high-quality power delivery in a dynamic and demanding environment.

Hybrid Intelligent Systems

Author : Ana Maria Madureira
Publisher : Springer
ISBN 13 : 3030143473
Total Pages : 597 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Hybrid Intelligent Systems by : Ana Maria Madureira

Download or read book Hybrid Intelligent Systems written by Ana Maria Madureira and published by Springer. This book was released on 2019-03-20 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent research on Hybrid Intelligent Systems and their various practical applications. It presents 56 selected papers from the 18th International Conference on Hybrid Intelligent Systems (HIS 2018), which was held at the Instituto Superior de Engenharia do Porto (ISEP), Porto, Portugal from December 13 to 15, 2018. A premier conference in the field of Artificial Intelligence, HIS 2018 brought together researchers, engineers and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from over 30 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

Congress on Intelligent Systems

Author : Mukesh Saraswat
Publisher : Springer Nature
ISBN 13 : 9811694168
Total Pages : 933 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Congress on Intelligent Systems by : Mukesh Saraswat

Download or read book Congress on Intelligent Systems written by Mukesh Saraswat and published by Springer Nature. This book was released on 2022-07-01 with total page 933 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of selected papers presented at the Second Congress on Intelligent Systems (CIS 2021), organized by Soft Computing Research Society and CHRIST (Deemed to be University), Bengaluru, India, during September 4 – 5, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as Internet of things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human–computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.

Recent Advances in Hybrid Metaheuristics for Data Clustering

Author : Sourav De
Publisher : John Wiley & Sons
ISBN 13 : 1119551609
Total Pages : 196 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Recent Advances in Hybrid Metaheuristics for Data Clustering by : Sourav De

Download or read book Recent Advances in Hybrid Metaheuristics for Data Clustering written by Sourav De and published by John Wiley & Sons. This book was released on 2020-06-02 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational intelligence techniques Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fundamentals of various metaheuristics and their application to data clustering. Metaheuristics are designed to tackle complex clustering problems where classical clustering algorithms have failed to be either effective or efficient. The authors noted experts on the topic provide a text that can aid in the design and development of hybrid metaheuristics to be applied to data clustering. The book includes performance analysis of the hybrid metaheuristics in relationship to their conventional counterparts. In addition to providing a review of data clustering, the authors include in-depth analysis of different optimization algorithms. The text offers a step-by-step guide in the build-up of hybrid metaheuristics and to enhance comprehension. In addition, the book contains a range of real-life case studies and their applications. This important text: Includes performance analysis of the hybrid metaheuristics as related to their conventional counterparts Offers an in-depth analysis of a range of optimization algorithms Highlights a review of data clustering Contains a detailed overview of different standard metaheuristics in current use Presents a step-by-step guide to the build-up of hybrid metaheuristics Offers real-life case studies and applications Written for researchers, students and academics in computer science, mathematics, and engineering, Recent Advances in Hybrid Metaheuristics for Data Clustering provides a text that explores the current data clustering approaches using a range of computational intelligence techniques.

Hybrid Artificial Intelligence and IoT in Healthcare

Author : Akash Kumar Bhoi
Publisher : Springer Nature
ISBN 13 : 9811629722
Total Pages : 328 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Hybrid Artificial Intelligence and IoT in Healthcare by : Akash Kumar Bhoi

Download or read book Hybrid Artificial Intelligence and IoT in Healthcare written by Akash Kumar Bhoi and published by Springer Nature. This book was released on 2021-07-22 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.

Hybrid Intelligent Systems

Author : Ajith Abraham
Publisher : Springer
ISBN 13 : 9783030963040
Total Pages : 669 pages
Book Rating : 4.9/5 (63 download)

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Book Synopsis Hybrid Intelligent Systems by : Ajith Abraham

Download or read book Hybrid Intelligent Systems written by Ajith Abraham and published by Springer. This book was released on 2022-03-04 with total page 669 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 45 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2021) and 16 papers from the 17th International Conference on Information Assurance and Security, which was held online, from December 14 to 16, 2021. A premier conference in the field of artificial intelligence and machine learning applications, HIS-IAS 2021 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 20 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of computer science and engineering.

Social Networks: A Framework of Computational Intelligence

Author : Witold Pedrycz
Publisher : Springer
ISBN 13 : 3319029932
Total Pages : 440 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Social Networks: A Framework of Computational Intelligence by : Witold Pedrycz

Download or read book Social Networks: A Framework of Computational Intelligence written by Witold Pedrycz and published by Springer. This book was released on 2013-12-09 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides the audience with an updated, in-depth and highly coherent material on the conceptually appealing and practically sound information technology of Computational Intelligence applied to the analysis, synthesis and evaluation of social networks. The volume involves studies devoted to key issues of social networks including community structure detection in networks, online social networks, knowledge growth and evaluation, and diversity of collaboration mechanisms. The book engages a wealth of methods of Computational Intelligence along with well-known techniques of linear programming, Formal Concept Analysis, machine learning, and agent modeling. Human-centricity is of paramount relevance and this facet manifests in many ways including personalized semantics, trust metric, and personal knowledge management; just to highlight a few of these aspects. The contributors to this volume report on various essential applications including cyber attacks detection, building enterprise social networks, business intelligence and forming collaboration schemes. Given the subject area, this book is aimed at a broad audience of researchers and practitioners. Owing to the nature of the material being covered and a way it is organized, the volume will appeal to the well-established communities including those active in various disciplines in which social networks, their analysis and optimization are of genuine relevance. Those involved in operations research, management, various branches of engineering, and economics will benefit from the exposure to the subject matter.