Editors:
- Presents new trends in applied linguistics, information technologies, and education
- Highlights theories and applications of intelligent systems
- Discusses central issues and challenges in big data and cloud computing
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1080)
Conference series link(s): CSIT: Conference on Computer Science and Information Technologies
Conference proceedings info: CSIT 2019.
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Table of contents (62 papers)
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Front Matter
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Mathematical Modeling
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Front Matter
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About this book
This book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision, current issues in big data and cloud computing, computation linguistics, and cyber-physical systems. It also reports on important topics in intelligent information management.
Written by active researchers, the respective chapters are based on selected papers presented at the XIV International Scientific and Technical Conference on Computer Science and Information Technologies (CSIT 2019), held on September 17–20, 2019, in Lviv, Ukraine. The conference was jointly organized by the Lviv Polytechnic National University, Ukraine, the Kharkiv National University of Radio Electronics, Ukraine, and the Technical University of Lodz, Poland, under patronage of Ministry of Education and Science of Ukraine.
Given its breadth of coverage, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and is sure to foster new discussions and collaborations among different groups.
Keywords
- Patten recognition algorithms
- Search enhancement systems
- Ontology-based systems
- Fuzzy expert systems for evaluation
- Time series prediction
- Forecasting dynamic processes
- Discrete dynamic models
- Distance educational systems
- Multilevel management systems
- CSIT 2019
- Radar data processing
- Enterprise information system (EIS)
- Technological readiness model
- Astrometric reduction algorithm
- Unconstrained quadratic optimization
- Keyphrase extraction
- Machine interpretation
- Applications of cyber-physical systems
Editors and Affiliations
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Department of Artificial Intelligence, Lviv Polytechnic National University, Lviv, Ukraine
Natalya Shakhovska
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Institute of Computer Science and Information Technologies, Lviv Polytechnic National University, Lviv, Ukraine
Mykola O. Medykovskyy
Bibliographic Information
Book Title: Advances in Intelligent Systems and Computing IV
Book Subtitle: Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2019, September 17-20, 2019, Lviv, Ukraine
Editors: Natalya Shakhovska, Mykola O. Medykovskyy
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-030-33695-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-33694-3Published: 02 November 2019
eBook ISBN: 978-3-030-33695-0Published: 01 November 2019
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XIII, 971
Number of Illustrations: 195 b/w illustrations, 318 illustrations in colour
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Pattern Recognition