Floods are one of the most common natural disasters, with a disproportionate impact in
developing countries that often lack dense streamflow gauge networks. Accurate and timely …

We investigate the applicability of machine learning technologies to the development of
parsimonious, interpretable, catchment‐scale hydrologic models using directed‐graph …

Hurricanes and coastal floods are among the most disastrous natural hazards. Both are
intimately related to storm surges as their causes and effects respectively. However the short …

This study focuses on exploring the potential of using Long Short-Term Memory networks
(LSTMs) for low-flow forecasting for the Rhine River at Lobith on a daily scale with lead …

Floods are among the most common and devastating natural hazards, imposing immense
costs on our society and economy due to their disastrous consequences. Recent progress in …

Urbanization and climate change present unprecedented challenges to cities, necessitating
innovative approaches to ensure urban resilience and sustainability. Currently, traditional …

mbe saját fejlesztésű 1 dimenziós hidrodinamikai modelljét a Duna hazai szakaszára és a
2023 év elejére elkészült a Tisza modellje is. A cél az évtizedek óta használatban lévő …

Kivonat: Az RBF neurális hálózatok alkalmazása nagy múltra tekint vissza, viszonylag
egyszerű architektúrája és az erős regressziós képességei miatt számos területen bevált …

يعيش العالم في الوقت الراهن ما يطلق عليه الثورة الصناعية الرابعة، ومن ثم يتجه العالم ليس إلي
تحول أو توجه بل إلي ثورة بكل ما تحمله تلك الكلمة من معاني، وصلت في الوقت الحالي إلي مراحل …‎

술을 활용하여 시각장애인이 스마트폰 카메라로 촬영한영상을 인식하고 음성으로 정보를
전달하는 모바일 앱'Lookout'을 발표하였다 [9]. 그뿐만 아니라, 세계 최고 권위의 컴퓨터 비전 …