Ali Ercan

Future climate change impact assessment of watershed scale hydrologic processes in Peninsular Malaysia by a regional climate model coupled with a physically-based hydrology modelo

Mohd Zaki Mat Amin, A. J. Shaaban, Ali Ercan et al. · The Science of The Total Environment · 2016 · 92 citations

Natural Resources, Earth Sciences, Hydrology +17

Capabilities of deep learning models on learning physical relationships: Case of rainfall-runoff modeling with LSTM

Kazuki Yokoo, Kei Ishida, Ali Ercan et al. · The Science of The Total Environment · 2021 · 61 citations · Full text

Natural Resources, Computer Science, Hydrology +16

Hourly-scale coastal sea level modeling in a changing climate using long short-term memory neural network

Kei Ishida, Gozo TSUJIMOTO, Ali Ercan et al. · The Science of The Total Environment · 2020 · 52 citations

Natural Sciences, Earth Sciences, Meteorology +14

Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling

Kei Ishida, Ali Ercan, Takeyoshi Nagasato et al. · Journal of Environmental Management · 2024 · 47 citations · Full text

Natural Resources, Earth Sciences, Hydrology +17

Assessment of 21st century drought conditions at Shasta Dam based on dynamically projected water supply conditions by a regional climate model coupled with a physically-based hydrology model

Toan Trinh, Kei Ishida, M. L. Kavvas et al. · The Science of The Total Environment · 2017 · 45 citations

Natural Resources, Earth Sciences, Hydrology +17