Engineering Applications of Neural Networks 20th International Conference, EANN 2019, Xersonisos, Crete, Greece, May 24-26, 2019, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Macintyre, John (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Iliadis, Lazaros (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Maglogiannis, Ilias (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Jayne, Chrisina (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Communications in Computer and Information Science, 1000
• Θέματα: Artificial intelligence.; Optical data processing.; Computer communication systems.; Computational intelligence.; Artificial Intelligence.; Image Processing and Computer Vision.; Computer Communication Networks.; Computational Intelligence.

 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. 

 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.