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Learning ensembles of deep neural networks for extreme rainfall event detection

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Bibliographic Details
Main Authors: Gianluigi, Folino, Massimo, Guarascio, Francesco, Chiaravalloti
Format: Book
Language:English
Published: Springer 2023
Subjects:
DeepEns-REM
REM
Online Access:https://link.springer.com/article/10.1007/s00521-023-08238-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8334
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spelling oai:localhost:PNK-83342023-04-26T06:47:54Z Learning ensembles of deep neural networks for extreme rainfall event detection Gianluigi, Folino Massimo, Guarascio Francesco, Chiaravalloti DeepEns-REM REM CC BY Accurate rainfall estimation is crucial to adequately assess the risk associated with extreme events capable of triggering floods and landslides. Data gathered from Rain Gauges (RGs), sensors devoted to measuring the intensity of the rain at individual points, are commonly used to feed interpolation methods (e.g., the Kriging geostatistical approach) and estimate the precipitation field over an area of interest. However, the information provided by RGs could be insufficient to model complex phenomena, and computationally expensive interpolation methods could not be used in real-time environments. Integrating additional data sources (e.g., radar and geostationary satellites) is an effective solution for improving the quality of the estimate, but it needs to cope with Big Data issues. To overcome all these issues, we propose a Rainfall Estimation Model (REM) based on an Ensemble of Deep Neural Networks (DeepEns-REM) that can automatically fuse heterogeneous data sources. 2023-04-26T06:47:54Z 2023-04-26T06:47:54Z 2023 Book https://link.springer.com/article/10.1007/s00521-023-08238-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8334 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic DeepEns-REM
REM
spellingShingle DeepEns-REM
REM
Gianluigi, Folino
Massimo, Guarascio
Francesco, Chiaravalloti
Learning ensembles of deep neural networks for extreme rainfall event detection
description CC BY
format Book
author Gianluigi, Folino
Massimo, Guarascio
Francesco, Chiaravalloti
author_facet Gianluigi, Folino
Massimo, Guarascio
Francesco, Chiaravalloti
author_sort Gianluigi, Folino
title Learning ensembles of deep neural networks for extreme rainfall event detection
title_short Learning ensembles of deep neural networks for extreme rainfall event detection
title_full Learning ensembles of deep neural networks for extreme rainfall event detection
title_fullStr Learning ensembles of deep neural networks for extreme rainfall event detection
title_full_unstemmed Learning ensembles of deep neural networks for extreme rainfall event detection
title_sort learning ensembles of deep neural networks for extreme rainfall event detection
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s00521-023-08238-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8334
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score 8.881002

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