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Proceedings of the International Neural Networks Society

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference

Proceedings of the EANN 2020

Editors: Iliadis, L., Angelov, P.P., Jayne, C., Pimenidis, E. (Eds.)

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  • Is dedicated to advancing the state of the art in AI algorithms and their applications
  • Serves as a source of inspiration for colleagues from various scientific domains
  • Presents new algorithms and new hybrid approaches, offering significant guidance for all AI researchers
  • Offers extensive information on both theoretical aspects and application areas
  • Covers areas such as convolutional neural networks, deep learning, and LSTM in robotics/machine vision/engineering/image processing/medical systems/the environment
  • Describes state-of-the-art hybrid systems, the algorithmic foundations of artificial neural networks, and machine learning / meta learning as applied to neurobiological modeling/optimization
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eBook $189.00
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  • ISBN 978-3-030-48791-1
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Softcover $249.99
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  • ISBN 978-3-030-48790-4
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About this book

This book gathers the proceedings of the 21st Engineering Applications of Neural Networks Conference, which is supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characterized by alternating growth spurts and “AI winters.” Today, AI is an essential component of the fourth industrial revolution and enjoying its heyday. Further, in specific areas, AI is catching up with or even outperforming human beings. This book offers a comprehensive guide to AI in a variety of areas, concentrating on new or hybrid AI algorithmic approaches with robust applications in diverse sectors.
One of the advantages of this book is that it includes robust algorithmic approaches and applications in a broad spectrum of scientific fields, namely the use of convolutional neural networks (CNNs), deep learning and LSTM in robotics/machine vision/engineering/image processing/medical systems/the environment; machine learning and meta learning applied to neurobiological modeling/optimization; state-of-the-art hybrid systems; and the algorithmic foundations of artificial neural networks.

Table of contents (48 chapters)

Table of contents (48 chapters)
  • A Compact Sequence Encoding Scheme for Online Human Activity Recognition in HRI Applications

    Pages 3-14

    Tsatiris, Georgios (et al.)

  • Classification of Coseismic Landslides Using Fuzzy and Machine Learning Techniques

    Pages 15-31

    Psathas, Anastasios Panagiotis (et al.)

  • Evaluating the Transferability of Personalised Exercise Recognition Models

    Pages 32-44

    Wijekoon, Anjana (et al.)

  • Deep Learning-Based Computer Vision Application with Multiple Built-In Data Science-Oriented Capabilities

    Pages 47-69

    Jurj, Sorin Liviu (et al.)

  • Visual Movement Prediction for Stable Grasp Point Detection

    Pages 70-81

    Schwan, Constanze (et al.)

Buy this book

eBook $189.00
price for USA in USD
  • ISBN 978-3-030-48791-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $249.99
price for USA in USD
  • ISBN 978-3-030-48790-4
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference
Book Subtitle
Proceedings of the EANN 2020
Editors
  • Lazaros Iliadis
  • Plamen Parvanov Angelov
  • Chrisina Jayne
  • Elias Pimenidis
Series Title
Proceedings of the International Neural Networks Society
Series Volume
2
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-48791-1
DOI
10.1007/978-3-030-48791-1
Softcover ISBN
978-3-030-48790-4
Series ISSN
2661-8141
Edition Number
1
Number of Pages
XXVII, 619
Number of Illustrations
98 b/w illustrations, 161 illustrations in colour
Topics

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