Overview
- Recent research in Engineering Applications of Neural Networks
- Proceedings of the 22nd EANN (Engineering Applications of Neural Networks) 2021 conference held at Porto Carras Grand Resort, Halkidiki, Greece, from 25 – 27 June, 2021
- Written by experts in the field
Part of the book series: Proceedings of the International Neural Networks Society (INNS, volume 3)
Included in the following conference series:
Conference proceedings info: EANN 2021.
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About this book
The application domains are related to: Anomaly detection, bio-medical AI, cyber-security, data fusion, e-learning, emotion recognition, environment, hyperspectral imaging, fraud detection, image analysis, inverse kinematics, machine vision, natural language, recommendation systems, robotics, sentiment analysis, simulation, stock market prediction.
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Keywords
Table of contents (41 papers)
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Adversarial Neural Networks - Classification
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Anomaly Detection
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Classification - Medical Applications
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Deep Learning - Convolutional Neural Networks Modeling
Other volumes
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Proceedings of the 22nd Engineering Applications of Neural Networks Conference
Editors and Affiliations
Bibliographic Information
Book Title: Proceedings of the 22nd Engineering Applications of Neural Networks Conference
Book Subtitle: EANN 2021
Editors: Lazaros Iliadis, John Macintyre, Chrisina Jayne, Elias Pimenidis
Series Title: Proceedings of the International Neural Networks Society
DOI: https://doi.org/10.1007/978-3-030-80568-5
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-80567-8Published: 01 July 2021
eBook ISBN: 978-3-030-80568-5Published: 23 June 2021
Series ISSN: 2661-8141
Series E-ISSN: 2661-815X
Edition Number: 1
Number of Pages: XLIII, 521
Number of Illustrations: 29 b/w illustrations, 160 illustrations in colour
Topics: Computational Intelligence, Data Engineering, Artificial Intelligence