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190802 ||| eng |
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|a 9783030202576
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|a Macintyre, John
|e [editor]
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|a Engineering Applications of Neural Networks
|h Elektronische Ressource
|b 20th International Conference, EANN 2019, Xersonisos, Crete, Greece, May 24-26, 2019, Proceedings
|c edited by John Macintyre, Lazaros Iliadis, Ilias Maglogiannis, Chrisina Jayne
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|a 1st ed. 2019
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|a Cham
|b Springer International Publishing
|c 2019, 2019
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300 |
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|a XXV, 546 p. 222 illus., 163 illus. in color
|b online resource
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|a AI in Energy Management - Industrial Applications -- Biomedical - Bioinformatics Modeling -- Classification - Learning -- Deep Learning -- Deep Learning - Convolutional ANN -- Fuzzy - Vulnerability - Navigation Modeling -- Machine Learning Modeling - Optimization -- ML - DL Financial Modeling -- Security - Anomaly detection -- Pervasive
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653 |
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|a Computer Communication Networks
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653 |
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|a Computer vision
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653 |
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|a Computational intelligence
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653 |
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|a Artificial Intelligence
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653 |
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|a Computer Vision
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653 |
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|a Computer networks
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653 |
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|a Computational Intelligence
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653 |
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|a Artificial intelligence
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700 |
1 |
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|a Iliadis, Lazaros
|e [editor]
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700 |
1 |
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|a Maglogiannis, Ilias
|e [editor]
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700 |
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|a Jayne, Chrisina
|e [editor]
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041 |
0 |
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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490 |
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|a Communications in Computer and Information Science
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028 |
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|a 10.1007/978-3-030-20257-6
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|u https://doi.org/10.1007/978-3-030-20257-6?nosfx=y
|x Verlag
|3 Volltext
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|a 006.3
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|a This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in Xersonisos, Crete, Greece, in May 2019. The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatics modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop
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