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1 Ergebnisse
1
Machine Learning for Improved Post-fire Debris Flow Likelih..:
, In:
2022 IEEE International Conference on Big Data (Big Data)
,
Roten, Daniel
;
Block, Jessica
;
Crawl, Daniel
.. - p. 1681-1690 , 2022
Link:
https://doi.org/10.1109/BigData55660.2022.10020574
RT T1 <cTitle>2022 IEEE International Conference on Big Data (Big Data)</cTitle>: T1 <Title>Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10020574&Exemplar=1&LAN=DE A1 Roten, Daniel A1 Block, Jessica A1 Crawl, Daniel A1 Lee, Jenny A1 Altintas, Ilkay YR 2022 K1 Pipelines K1 Vegetation K1 Artificial neural networks K1 Receivers K1 Big Data K1 Predictive models K1 Feature extraction K1 machine learning K1 parallel big data processing K1 debris flow K1 wildfire SP 1681 OP 1690 LK http://dx.doi.org/https://doi.org/10.1109/BigData55660.2022.10020574 DO https://doi.org/10.1109/BigData55660.2022.10020574 SF ELIB - SuUB Bremen
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