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  • Conference proceedings
  • © 2019

Creativity in Intelligent Technologies and Data Science

Third Conference, CIT&DS 2019, Volgograd, Russia, September 16–19, 2019, Proceedings, Part II

Editors:

  1. Alla G. Kravets

    1. CAD & Research Department, Volgograd State Technical University, Volgograd, Russia

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  2. Peter P. Groumpos

    1. Electrical and Computer Engineering, University of Patras, Rion, Patras, Greece

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  3. Maxim Shcherbakov

    1. Volgograd State Technical University, Volgograd, Russia

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    You can also search for this editor in PubMed   Google Scholar

  4. Marina Kultsova

    1. Volgograd State Technical University, Volgograd, Russia

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1084)

Conference series link(s): CIT&DS: Conference on Creativity in Intelligent Technologies and Data Science

Conference proceedings info: CIT&DS 2019.

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Table of contents (37 papers)

  1. Front Matter

    Pages i-xviii
    PDF

  2. Artificial Intelligence and Deep Learning Technologies for Creative Tasks. Knowledge Discovery in Patent and Open Sources

    1. Front Matter

      Pages 1-1
      PDF

    2. Extraction of Knowledge and Processing of the Patent Array

      • Marina Fomenkova, Dmitriy Korobkin, Alla G. Kravets, Sergey Fomenkov
      Pages 3-14

    4. The Study of Neural Networks Effective Architectures for Patents Images Processing

      • Alla G. Kravets, Sergey Kolesnikov, Natalia Salnikova, Mikhail Lempert, Olga Poplavskaya
      Pages 27-41

    5. The Software and Information Complex Which Uses Structured Physical Knowledge for Technical Systems Design

      • Ilya Vayngolts, Dmitriy Korobkin, Sergey Fomenkov, Sergey Kolesnikov
      Pages 42-51

    6. Construction of a Matrix “Physical Effects – Technical Functions” on the Base of Patent Corpus Analysis

      • Dmitriy Korobkin, Dmitriy Shabanov, Sergey Fomenkov, Alexander Golovanchikov
      Pages 52-68

  3. Artificial Intelligence and Deep Learning Technologies for Creative Tasks. Open Science Semantic Technologies

    1. Front Matter

      Pages 69-69
      PDF

    2. Named Entity Recognition (NER) for Nepali

      • Gopal Maharjan, Bal Krishna Bal, Santosh Regmi
      Pages 71-80

    3. Semantic Zooming Approach to Semantic Link Network Visualization

      • Dmitry Litovkin, Anton Anikin, Marina Kultsova
      Pages 81-95

    5. Cognitive Developing of Semiotic Data in Computer-Based Communication (Signs, Concepts, Discourse)

      • Andrew V. Olyanitch, Zaineta R. Khachmafova, Susanna R. Makerova, Marjet P. Akhidzhakova, Tatiana A. Ostrovskaya
      Pages 109-121

    6. Methods of Software Self-adaptation Based on Monitoring the Information Environment

      • Alexander Bershadsky, Alexander Bozhday, Yulia Evseeva, Alexei Gudkov
      Pages 122-131

  4. Artificial Intelligence and Deep Learning Technologies for Creative Tasks. Computer Vision and Knowledge-Based Control

    1. Front Matter

      Pages 133-133
      PDF

    2. The Fuzzy Rule Base Automatic Optimization Method of Intelligent Controllers for Technical Objects Using Fuzzy Clustering

      • Vladimir Ignatyev, Viktor Soloviev, Denis Beloglazov, Viktor Kureychik, Kovalev Andrey, Alexandra Ignatyeva
      Pages 135-152

    3. Modeling of Environment for Technical Vision: Automatic Detection of Dynamic Objects in the Data Stream

      • Korney S. Tertychny, Sergey A. Karpov, Dmitry V. Krivolapov, Alexander V. Khoperskov
      Pages 153-165

    4. The Introduction of Multi-level Parallelism Solvers in Multibody Dynamics

      • Andrey Andreev, Vitaly Egunov, Evgenia Movchan, Nikita Cherednikov, Egor Kharkov, Natalia Kohtashvili
      Pages 166-180

    5. Traffic Light Detection and Recognition Using Image Processing and Convolution Neural Networks

      • George Symeonidis, Peter P. Groumpos, Evangelos Dermatas
      Pages 181-190

    6. Methods of Increasing Service Minibots Functional Capabilities

      • Alexander Gorobtsov, Andrey Skorikov, Pavel Tarasov, Alexey Markov, Andrey Andreev
      Pages 191-202

    7. Development the Online Operating System of Urban Infrastructure Data

      • Danila Parygin, Dmitry Kozlov, Natalia Sadovnikova, Vladislav Kvetkin, Ivan Soplyakov, Vitaliy Malikov
      Pages 203-216
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Other Volumes

  1. Creativity in Intelligent Technologies and Data Science

  2. Creativity in Intelligent Technologies and Data Science

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About this book

This two-volume set constitutes the proceedings of the Third Conference on Creativity in Intellectual Technologies and Data Science, CIT&DS 2019, held in Volgograd, Russia, in September 2019.

The 67 full papers, 1 short paper and 3 keynote papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in topical sections in the two volumes. Part I: cyber-physical systems and Big Data-driven world. Part II: artificial intelligence and deep learning technologies for creative tasks; intelligent technologies in social engineering.

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Keywords

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Editors and Affiliations

  • CAD & Research Department, Volgograd State Technical University, Volgograd, Russia

    Alla G. Kravets

  • Electrical and Computer Engineering, University of Patras, Rion, Patras, Greece

    Peter P. Groumpos

  • Volgograd State Technical University, Volgograd, Russia

    Maxim Shcherbakov, Marina Kultsova

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Bibliographic Information

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Access via your institution

Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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