Reetik Kumar Sahu

Hydrological concept formation inside long short-term memory (LSTM) networks

Thomas Lees, Steven Reece, Frederik Kratzert et al. · Hydrology and earth system sciences · 2022 · 204 citations · Full text

Natural Resources, Computer Science, Hydrology +17

Surrogate optimization of deep neural networks for groundwater predictions

Juliane Müller, Jangho Park, Reetik Kumar Sahu et al. · Journal of Global Optimization · 2020 · 104 citations · Full text

Computing, Earth Sciences, Hydrology +14

Impact of Input Feature Selection on Groundwater Level Prediction From a Multi-Layer Perceptron Neural Network

Reetik Kumar Sahu, Juliane Müller, Jangho Park et al. · Frontiers in Water · 2020 · 51 citations · Full text

Natural Resources, Computer Science, Hydrology +15

Long-term missing value imputation for time series data using deep neural networks

Jangho Park, Juliane Müller, Bhavna Arora et al. · Neural Computing and Applications · 2022 · 50 citations · Full text

Computing, Computer Science, Environmental Sciences +17

Deep dive into hydrologic simulations at global scale: harnessing the power of deep learning and physics-informed differentiable models ( <i>δ</i> HBV-globe1.0-hydroDL)

Dapeng Feng, Hylke E. Beck, Jens de Bruijn et al. · Geoscientific model development · 2024 · 39 citations · Full text

Natural Resources, Earth Sciences, Hydrology +15