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1 Ergebnisse
1
Ground-level Post-Disaster Image Classification using Dense..:
, In:
2023 International Conference On Cyber Management And Engineering (CyMaEn)
,
Abadicio, Angelica Denise J.
;
Camota, King Eluard E.
;
Niosco, Kyle Anthony F.
... - p. 132-137 , 2023
Link:
https://doi.org/10.1109/CyMaEn57228.2023.10050981
RT T1
2023 International Conference On Cyber Management And Engineering (CyMaEn)
: T1
Ground-level Post-Disaster Image Classification using DenseNet201 for Disaster Damage Assessment
UL https://suche.suub.uni-bremen.de/peid=ieee-10050981&Exemplar=1&LAN=DE A1 Abadicio, Angelica Denise J. A1 Camota, King Eluard E. A1 Niosco, Kyle Anthony F. A1 Hernandez, Donabell S. A1 Belleza, Rodrigo C. A1 Maano, Roselyn A. A1 Oreta, David Eric S. YR 2023 K1 Training K1 Buildings K1 Learning (artificial intelligence) K1 Artificial neural networks K1 Predictive models K1 Feature extraction K1 Emergency services K1 Artificial Intelligence K1 computer vision K1 convolutional neural network K1 disaster damage assessment K1 transfer learning SP 132 OP 137 LK http://dx.doi.org/https://doi.org/10.1109/CyMaEn57228.2023.10050981 DO https://doi.org/10.1109/CyMaEn57228.2023.10050981 SF ELIB - SuUB Bremen
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