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Advances in Intelligent Systems Research and Innovation

Author: Vassil Sgurev

Publisher: Springer Nature

Published: 2021-11-03

Total Pages: 489

ISBN-13: 3030781240

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This book represents the experience of successful researchers from four continents on a broad range of intelligent systems, and it hints how to avoid anticipated conflicts and problems during multidisciplinary innovative research from Industry 4.0 and/or Internet of Things through modern machine learning, and software agent applications to open data science big data/advance analytics/visual analytics/text mining/web mining/knowledge discovery/deep data mining issues. The considered intelligent part is essential in most smart/control systems, cyber security, bioinformatics, virtual reality, robotics, mathematical modelling projects, and its significance rapidly increases in other technologies. Theoretical foundations of fuzzy sets, mathematical and non-classical logic also are rapidly developing.

Book Synopsis Advances in Intelligent Systems Research and Innovation by : Vassil Sgurev

Download or read book Advances in Intelligent Systems Research and Innovation written by Vassil Sgurev and published by Springer Nature. This book was released on 2021-11-03 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book represents the experience of successful researchers from four continents on a broad range of intelligent systems, and it hints how to avoid anticipated conflicts and problems during multidisciplinary innovative research from Industry 4.0 and/or Internet of Things through modern machine learning, and software agent applications to open data science big data/advance analytics/visual analytics/text mining/web mining/knowledge discovery/deep data mining issues. The considered intelligent part is essential in most smart/control systems, cyber security, bioinformatics, virtual reality, robotics, mathematical modelling projects, and its significance rapidly increases in other technologies. Theoretical foundations of fuzzy sets, mathematical and non-classical logic also are rapidly developing.

Intelligent Systems: Theory, Research and Innovation in Applications

Author: Ricardo Jardim-Goncalves

Publisher: Springer Nature

Published: 2020-03-03

Total Pages: 367

ISBN-13: 3030387046

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From artificial neural net / game theory / semantic applications, to modeling tools, smart manufacturing systems, and data science research – this book offers a broad overview of modern intelligent methods and applications of machine learning, evolutionary computation, Industry 4.0 technologies, and autonomous agents leading to the Internet of Things and potentially a new technological revolution. Though chiefly intended for IT professionals, it will also help a broad range of users of future emerging technologies adapt to the new smart / intelligent wave. In separate chapters, the book highlights fourteen successful examples of recent advances in the rapidly evolving area of intelligent systems. Covering major European projects paving the way to a serious smart / intelligent collaboration, the chapters explore e.g. cyber-security issues, 3D digitization, aerial robots, and SMEs that have introduced cyber-physical production systems. Taken together, they offer unique insights into contemporary artificial intelligence and its potential for innovation.

Book Synopsis Intelligent Systems: Theory, Research and Innovation in Applications by : Ricardo Jardim-Goncalves

Download or read book Intelligent Systems: Theory, Research and Innovation in Applications written by Ricardo Jardim-Goncalves and published by Springer Nature. This book was released on 2020-03-03 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: From artificial neural net / game theory / semantic applications, to modeling tools, smart manufacturing systems, and data science research – this book offers a broad overview of modern intelligent methods and applications of machine learning, evolutionary computation, Industry 4.0 technologies, and autonomous agents leading to the Internet of Things and potentially a new technological revolution. Though chiefly intended for IT professionals, it will also help a broad range of users of future emerging technologies adapt to the new smart / intelligent wave. In separate chapters, the book highlights fourteen successful examples of recent advances in the rapidly evolving area of intelligent systems. Covering major European projects paving the way to a serious smart / intelligent collaboration, the chapters explore e.g. cyber-security issues, 3D digitization, aerial robots, and SMEs that have introduced cyber-physical production systems. Taken together, they offer unique insights into contemporary artificial intelligence and its potential for innovation.

Innovations in Intelligent Machines -3

Author: Ivan Jordanov

Publisher: Springer

Published: 2012-09-05

Total Pages: 158

ISBN-13: 3642321771

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This book aims to promote a sample of current theoretical and application oriented intelligent systems research specifically in the field of neural networks computing. It presents examples of experimental and real-world investigations that demonstrate contemporary achievements and advances in the area of intelligent systems. This book will prove as a valuable source of up-to-date theoretical and application oriented research in intelligent systems for researchers and postgraduate students.

Book Synopsis Innovations in Intelligent Machines -3 by : Ivan Jordanov

Download or read book Innovations in Intelligent Machines -3 written by Ivan Jordanov and published by Springer. This book was released on 2012-09-05 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to promote a sample of current theoretical and application oriented intelligent systems research specifically in the field of neural networks computing. It presents examples of experimental and real-world investigations that demonstrate contemporary achievements and advances in the area of intelligent systems. This book will prove as a valuable source of up-to-date theoretical and application oriented research in intelligent systems for researchers and postgraduate students.

Research and Development in Intelligent Systems XXXIII

Author: Max Bramer

Publisher: Springer

Published: 2016-11-14

Total Pages: 381

ISBN-13: 3319471759

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The papers in this volume are the refereed papers presented at AI-2016, the Thirty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2016 in both the technical and the application streams. They present new and innovative developments and applications, divided into technical stream sections on Knowledge Discovery and Data Mining, Sentiment Analysis and Recommendation, Machine Learning, AI Techniques, and Natural Language Processing, followed by application stream sections on AI for Medicine and Disability, Legal Liability and Finance, Telecoms and eLearning, and Genetic Algorithms in Action. The volume also includes the text of short papers presented as posters at the conference. This is the thirty-third volume in the Research and Development in Intelligent Systems series, which also incorporates the twenty-fourth volume in the Applications and Innovations in Intelligent Systems series. These series are essential reading for those who wish to keep up to date with developments in this important field.

Book Synopsis Research and Development in Intelligent Systems XXXIII by : Max Bramer

Download or read book Research and Development in Intelligent Systems XXXIII written by Max Bramer and published by Springer. This book was released on 2016-11-14 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers in this volume are the refereed papers presented at AI-2016, the Thirty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2016 in both the technical and the application streams. They present new and innovative developments and applications, divided into technical stream sections on Knowledge Discovery and Data Mining, Sentiment Analysis and Recommendation, Machine Learning, AI Techniques, and Natural Language Processing, followed by application stream sections on AI for Medicine and Disability, Legal Liability and Finance, Telecoms and eLearning, and Genetic Algorithms in Action. The volume also includes the text of short papers presented as posters at the conference. This is the thirty-third volume in the Research and Development in Intelligent Systems series, which also incorporates the twenty-fourth volume in the Applications and Innovations in Intelligent Systems series. These series are essential reading for those who wish to keep up to date with developments in this important field.

Innovation and Research

Author: Miguel Botto-Tobar

Publisher: Springer Nature

Published: 2020-11-21

Total Pages: 573

ISBN-13: 3030604675

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This book presents the proceedings of the 1st International Congress on Innovation and Research – A Driving Force for Socio-Econo-Technological Development (CI3 2020). CI3 was held on June 18–19, 2020. It was organized by the Instituto Tecnológico Superior Rumiñahui and GDEON, in co-organization with Higher Institutes: Libertad, Bolivariano, Vida Nueva, Espíritu Santo, Sudamericano Loja, Central Técnico and sponsored by the Universidad Nacional Mayor de San Marcos (Perú), the Federal University of Goiás (Brazil) and HOSTOS—Community University of New York (USA). CI3 aims to promote the development of research activities in Higher Education Institutions and the relationship between the productive and scientific sector of Ecuador, supporting the fulfilment of the National Development Plan “Toda una vida 2017-2021”.

Book Synopsis Innovation and Research by : Miguel Botto-Tobar

Download or read book Innovation and Research written by Miguel Botto-Tobar and published by Springer Nature. This book was released on 2020-11-21 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 1st International Congress on Innovation and Research – A Driving Force for Socio-Econo-Technological Development (CI3 2020). CI3 was held on June 18–19, 2020. It was organized by the Instituto Tecnológico Superior Rumiñahui and GDEON, in co-organization with Higher Institutes: Libertad, Bolivariano, Vida Nueva, Espíritu Santo, Sudamericano Loja, Central Técnico and sponsored by the Universidad Nacional Mayor de San Marcos (Perú), the Federal University of Goiás (Brazil) and HOSTOS—Community University of New York (USA). CI3 aims to promote the development of research activities in Higher Education Institutions and the relationship between the productive and scientific sector of Ecuador, supporting the fulfilment of the National Development Plan “Toda una vida 2017-2021”.

Emerging Research in Intelligent Systems

Author: Miguel Botto-Tobar

Publisher: Springer Nature

Published: 2022-02-02

Total Pages: 432

ISBN-13: 3030960439

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This book constitutes the proceedings of the XVI Multidisciplinary International Congress on Science and Technology (CIT 2021), held in Quito, Ecuador, on June 14–18, 2021, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in science and technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Security and Cryptography Software Engineering

Book Synopsis Emerging Research in Intelligent Systems by : Miguel Botto-Tobar

Download or read book Emerging Research in Intelligent Systems written by Miguel Botto-Tobar and published by Springer Nature. This book was released on 2022-02-02 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the XVI Multidisciplinary International Congress on Science and Technology (CIT 2021), held in Quito, Ecuador, on June 14–18, 2021, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in science and technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Security and Cryptography Software Engineering

Recent Advances in Knowledge-based Paradigms and Applications

Author: Jeffrey W. Tweedale

Publisher: Springer Science & Business Media

Published: 2013-10-30

Total Pages: 223

ISBN-13: 3319016490

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This book presents carefully selected contributions devoted to the modern perspective of AI research and innovation. This collection covers several areas of applications and motivates new research directions. The theme across all chapters combines several domains of AI research, Computational Intelligence and Machine Intelligence including an introduction to the recent research and models. Each of the subsequent chapters reveals leading edge research and innovative solution that employ AI techniques with an applied perspective. The problems include classification of spatial images, early smoke detection in outdoor space from video images, emergent segmentation from image analysis, intensity modification in images, multi-agent modeling and analysis of stress. They all are novel pieces of work and demonstrate how AI research contributes to solutions for difficult real world problems that benefit the research community, industry and society.

Book Synopsis Recent Advances in Knowledge-based Paradigms and Applications by : Jeffrey W. Tweedale

Download or read book Recent Advances in Knowledge-based Paradigms and Applications written by Jeffrey W. Tweedale and published by Springer Science & Business Media. This book was released on 2013-10-30 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents carefully selected contributions devoted to the modern perspective of AI research and innovation. This collection covers several areas of applications and motivates new research directions. The theme across all chapters combines several domains of AI research, Computational Intelligence and Machine Intelligence including an introduction to the recent research and models. Each of the subsequent chapters reveals leading edge research and innovative solution that employ AI techniques with an applied perspective. The problems include classification of spatial images, early smoke detection in outdoor space from video images, emergent segmentation from image analysis, intensity modification in images, multi-agent modeling and analysis of stress. They all are novel pieces of work and demonstrate how AI research contributes to solutions for difficult real world problems that benefit the research community, industry and society.

Advances in Intelligent Systems and Computing

Author: Jie-Fang Zhang

Publisher: Springer Nature

Published: 2022-02-22

Total Pages: 384

ISBN-13: 9811680485

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The book is a collection of high-quality research papers presented at 7th Euro-China Conference on Intelligent Data Analysis and Applications, hosted by Communication University of Zhejiang, China and technically co-sponsored by Shandong University of Science and Technology, China; Zhejiang Lab, China; and Fujian University of Technology, China. The book covers areas like intelligent data analysis, computational intelligences, signal processing, and all associated applications of artificial intelligence.

Book Synopsis Advances in Intelligent Systems and Computing by : Jie-Fang Zhang

Download or read book Advances in Intelligent Systems and Computing written by Jie-Fang Zhang and published by Springer Nature. This book was released on 2022-02-22 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality research papers presented at 7th Euro-China Conference on Intelligent Data Analysis and Applications, hosted by Communication University of Zhejiang, China and technically co-sponsored by Shandong University of Science and Technology, China; Zhejiang Lab, China; and Fujian University of Technology, China. The book covers areas like intelligent data analysis, computational intelligences, signal processing, and all associated applications of artificial intelligence.

Research and Development in Intelligent Systems XXVI

Author: Richard Ellis

Publisher: Springer Science & Business Media

Published: 2009-10-28

Total Pages: 504

ISBN-13: 1848829833

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The most common document formalisation for text classi?cation is the vector space model founded on the bag of words/phrases representation. The main advantage of the vector space model is that it can readily be employed by classi?cation - gorithms. However, the bag of words/phrases representation is suited to capturing only word/phrase frequency; structural and semantic information is ignored. It has been established that structural information plays an important role in classi?cation accuracy [14]. An alternative to the bag of words/phrases representation is a graph based rep- sentation, which intuitively possesses much more expressive power. However, this representation introduces an additional level of complexity in that the calculation of the similarity between two graphs is signi?cantly more computationally expensive than between two vectors (see for example [16]). Some work (see for example [12]) has been done on hybrid representations to capture both structural elements (- ing the graph model) and signi?cant features using the vector model. However the computational resources required to process this hybrid model are still extensive.

Book Synopsis Research and Development in Intelligent Systems XXVI by : Richard Ellis

Download or read book Research and Development in Intelligent Systems XXVI written by Richard Ellis and published by Springer Science & Business Media. This book was released on 2009-10-28 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most common document formalisation for text classi?cation is the vector space model founded on the bag of words/phrases representation. The main advantage of the vector space model is that it can readily be employed by classi?cation - gorithms. However, the bag of words/phrases representation is suited to capturing only word/phrase frequency; structural and semantic information is ignored. It has been established that structural information plays an important role in classi?cation accuracy [14]. An alternative to the bag of words/phrases representation is a graph based rep- sentation, which intuitively possesses much more expressive power. However, this representation introduces an additional level of complexity in that the calculation of the similarity between two graphs is signi?cantly more computationally expensive than between two vectors (see for example [16]). Some work (see for example [12]) has been done on hybrid representations to capture both structural elements (- ing the graph model) and signi?cant features using the vector model. However the computational resources required to process this hybrid model are still extensive.

Advanced Research in Technologies, Information, Innovation and Sustainability

Author: Teresa Guarda

Publisher: Springer Nature

Published: 2021-11-17

Total Pages: 754

ISBN-13: 3030902412

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This book constitutes the refereed proceedings of the First International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2021, held in La Libertad, Ecuador, in November 2021. The 53 full papers and 2 short contributions were carefully reviewed and selected from 155 submissions. The volume covers a variety of topics, such as computer systems organization, software engineering, information storage and retrieval, computing methodologies, artificial intelligence, and others. The papers are logically organized in the following thematic blocks: Computing Solutions; Data Intelligence; Ethics, Security, and Privacy; Sustainability.

Book Synopsis Advanced Research in Technologies, Information, Innovation and Sustainability by : Teresa Guarda

Download or read book Advanced Research in Technologies, Information, Innovation and Sustainability written by Teresa Guarda and published by Springer Nature. This book was released on 2021-11-17 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2021, held in La Libertad, Ecuador, in November 2021. The 53 full papers and 2 short contributions were carefully reviewed and selected from 155 submissions. The volume covers a variety of topics, such as computer systems organization, software engineering, information storage and retrieval, computing methodologies, artificial intelligence, and others. The papers are logically organized in the following thematic blocks: Computing Solutions; Data Intelligence; Ethics, Security, and Privacy; Sustainability.