[HTML][HTML] A comparative study of Machine Learning and Deep Learning methods for flood forecasting in the Far-North region, Cameroon

FY Dtissibe, AAA Ari, H Abboubakar, AN Njoya… - Scientific African, 2024 - Elsevier
Flood crises are the consequence of climate change and global warming, which lead to an
increase in the frequency and intensity of heavy rainfall. Floods are, and remain, natural …

Ungauged Basin Flood Prediction Using Long Short-Term Memory and Unstructured Social Media Data

J Lee, S Hwang - Water, 2023 - mdpi.com
Floods are highly perilous and recurring natural disasters that cause extensive property
damage and threaten human life. However, the paucity of hydrological observational data …

Speech Emotion Recognition In Continuous Space Using IEMOCAP Database

A Messaoudi, H Boughrara… - 2024 IEEE 12th …, 2024 - ieeexplore.ieee.org
The exploration of emotion recognition from speech signals has garnered considerable
attention across various domains. Instead of categorizing emotions into discrete classes …

A Multi-step Water Level Prediction Model Based On CNN-LSTM-ATTENTION Combined With Wavelet Transform

Y Chen, Z Zhang, W Zhong, Y Pan… - 2024 4th International …, 2024 - ieeexplore.ieee.org
In order to improve the ability to predict river water levels, a multivariate multi-step water
level prediction model using wavelet transform (WT) and attention mechanism combined …

[PDF][PDF] Hidrológiai előrejelzés körszimmetrikus bázisfüggvény hálózatokkal

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