Advances in Intelligent Systems Research and Innovation

This book PDF is perfect for those who love Technology & Engineering genre, written by Vassil Sgurev and published by Springer Nature which was released on 03 November 2021 with total hardcover pages 489. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Advances in Intelligent Systems Research and Innovation books below.

Advances in Intelligent Systems Research and Innovation
Author : Vassil Sgurev
File Size : 48,9 Mb
Publisher : Springer Nature
Language : English
Release Date : 03 November 2021
ISBN : 9783030781248
Pages : 489 pages
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Advances in Intelligent Systems Research and Innovation by Vassil Sgurev Book PDF Summary

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.

Advances in Intelligent Systems Research and Innovation

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

Get Book
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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

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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

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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

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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

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This carefully edited book combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This volume focused on "Hybrid Artificial Intelligence Systems" contains a collection of papers that were presented at the 2nd International Workshop on Hybrid Artificial Intelligence Systems, held in 12 - 13 November, 2007, Salamanca, Spain.

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Intelligent Systems  Business  and Innovation Research

Intelligent systems research is a multidisciplinary field that focuses on the development of systems that can perceive, reason, and act autonomously. This can include areas such as machine learning, artificial intelligence, natural language processing, and robotics. The goal of intelligent systems research is to develop systems that can understand, learn

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