Advances In Intelligent Systems Research And Innovation PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Advances In Intelligent Systems Research And Innovation PDF full book. Access full book title Advances In Intelligent Systems Research And Innovation.

Advances in Intelligent Systems Research and Innovation

Advances in Intelligent Systems Research and Innovation
Author: Vassil Sgurev
Publisher: Springer Nature
Total Pages: 489
Release: 2021-11-03
Genre: Technology & Engineering
ISBN: 3030781240

Download Advances in Intelligent Systems Research and Innovation Book in PDF, ePub and Kindle

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

Intelligent Systems: Theory, Research and Innovation in Applications
Author: Ricardo Jardim-Goncalves
Publisher: Springer Nature
Total Pages: 367
Release: 2020-03-03
Genre: Technology & Engineering
ISBN: 3030387046

Download Intelligent Systems: Theory, Research and Innovation in Applications Book in PDF, ePub and Kindle

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

Innovations in Intelligent Machines -3
Author: Ivan Jordanov
Publisher: Springer
Total Pages: 158
Release: 2012-09-05
Genre: Technology & Engineering
ISBN: 3642321771

Download Innovations in Intelligent Machines -3 Book in PDF, ePub and Kindle

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

Research and Development in Intelligent Systems XXXIII
Author: Max Bramer
Publisher: Springer
Total Pages: 381
Release: 2016-11-14
Genre: Computers
ISBN: 3319471759

Download Research and Development in Intelligent Systems XXXIII Book in PDF, ePub and Kindle

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

Innovation and Research
Author: Miguel Botto-Tobar
Publisher: Springer Nature
Total Pages: 573
Release: 2020-11-21
Genre: Technology & Engineering
ISBN: 3030604675

Download Innovation and Research Book in PDF, ePub and Kindle

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

Emerging Research in Intelligent Systems
Author: Miguel Botto-Tobar
Publisher: Springer Nature
Total Pages: 432
Release: 2022-02-02
Genre: Technology & Engineering
ISBN: 3030960439

Download Emerging Research in Intelligent Systems Book in PDF, ePub and Kindle

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

Recent Advances in Knowledge-based Paradigms and Applications
Author: Jeffrey W. Tweedale
Publisher: Springer Science & Business Media
Total Pages: 223
Release: 2013-10-30
Genre: Technology & Engineering
ISBN: 3319016490

Download Recent Advances in Knowledge-based Paradigms and Applications Book in PDF, ePub and Kindle

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 Data Science: Methodologies and Applications

Advances in Data Science: Methodologies and Applications
Author: Gloria Phillips-Wren
Publisher: Springer Nature
Total Pages: 333
Release: 2020-08-26
Genre: Technology & Engineering
ISBN: 3030518701

Download Advances in Data Science: Methodologies and Applications Book in PDF, ePub and Kindle

Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent techniques have opened many opportunities for managing data and investigating data in virtually every field, and the scope of data science is expected to grow over the next decade. These future research achievements will solve old challenges and create new opportunities for growth and development. Thus, the research presented in this book is interdisciplinary and covers themes embracing emotions, artificial intelligence, robotics applications, sentiment analysis, smart city problems, assistive technologies, speech melody, and fall and abnormal behavior detection. The book is directed to the researchers, practitioners, professors and students interested in recent advances in methodologies and applications of data science. An introduction to the topic is provided, and research challenges and future research opportunities are highlighted throughout.


Advances in Intelligent Systems and Computing

Advances in Intelligent Systems and Computing
Author: Jie-Fang Zhang
Publisher: Springer Nature
Total Pages: 384
Release: 2022-02-22
Genre: Technology & Engineering
ISBN: 9811680485

Download Advances in Intelligent Systems and Computing Book in PDF, ePub and Kindle

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

Research and Development in Intelligent Systems XXVI
Author: Richard Ellis
Publisher: Springer Science & Business Media
Total Pages: 504
Release: 2009-10-28
Genre: Computers
ISBN: 1848829833

Download Research and Development in Intelligent Systems XXVI Book in PDF, ePub and Kindle

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.