Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

STADEN: A Dual-Branch Deep Learning Framework With Multithreshold Loss for Robust Radar Echo Extrapolation

Saved in:
Bibliographic Details
Published in:Advances in Meteorology
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868554007480369152
collection WordPress RSS
FRELIP Feed Integration
container_title Advances in Meteorology
description
discipline_display Meteorology
discipline_facet Meteorology
format Online Article
RSS Article
genre Journal Article
id rss_article:93601
institution FRELIP
journal_source_facet Advances in Meteorology
last_indexed 2026-06-20T21:45:54.952Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle STADEN: A Dual-Branch Deep Learning Framework With Multithreshold Loss for Robust Radar Echo Extrapolation
Meteorology
General
Meteorology
sub_discipline_display General
sub_discipline_facet General
subject_display Meteorology
General
Meteorology
subject_facet Meteorology
General
Meteorology
title STADEN: A Dual-Branch Deep Learning Framework With Multithreshold Loss for Robust Radar Echo Extrapolation
title_alt STADEN: Un marco de aprendizaje profundo de doble rama con pérdida de umbral múltiple para la extrapolación robusta de ecos de radar
STADEN : un cadre d'apprentissage profond à double branche avec perte multi-seuil pour l'extrapolation robuste des échos radar
STADEN: Uma Estrutura de Aprendizagem Profunda de Ramo Duplo com Perda Multilimiar para Extrapolação Robusta de Eco de Radar
title_auth STADEN: A Dual-Branch Deep Learning Framework With Multithreshold Loss for Robust Radar Echo Extrapolation
title_es_txt STADEN: Un marco de aprendizaje profundo de doble rama con pérdida de umbral múltiple para la extrapolación robusta de ecos de radar
title_fr_txt STADEN : un cadre d'apprentissage profond à double branche avec perte multi-seuil pour l'extrapolation robuste des échos radar
title_full STADEN: A Dual-Branch Deep Learning Framework With Multithreshold Loss for Robust Radar Echo Extrapolation
title_fullStr STADEN: A Dual-Branch Deep Learning Framework With Multithreshold Loss for Robust Radar Echo Extrapolation
title_full_unstemmed STADEN: A Dual-Branch Deep Learning Framework With Multithreshold Loss for Robust Radar Echo Extrapolation
title_pt_txt STADEN: Uma Estrutura de Aprendizagem Profunda de Ramo Duplo com Perda Multilimiar para Extrapolação Robusta de Eco de Radar
title_short STADEN: A Dual-Branch Deep Learning Framework With Multithreshold Loss for Robust Radar Echo Extrapolation
title_sort staden: a dual-branch deep learning framework with multithreshold loss for robust radar echo extrapolation
topic Meteorology
General
Meteorology
url https://www.hindawi.com/journals/amete/2026/6492939/