Academic Year 2025
Master's Theses
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Satori Teruya
Analyzing relationships among physical properties using nationwide geotechnical big data in Japan
Bachelor's Theses
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Yoshito Kato
Assessing climate change impacts across Japan incorporating recent observations
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Ryuku Tsuji
Improving river discharge estimation accuracy through ensemble learning with state-of-the-art models
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Yuki Yamada
Developing deep learning architectures tailored for river discharge estimation
Academic Year 2024
Master's Theses
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Sunao Uragoshi
Improving deep learning–based river discharge forecasting through input variable selection and preprocessing
Bachelor's Theses
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Koichi Nagata
Quantifying the impact of uncertainties in future climate projections on projected outcomes
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Junsei Shichida
Extrapolation capability of deep learning–based river discharge forecasting beyond the training data range
Academic Year 2023
Master's Theses
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Yuta Hamaguchi
Assessing the impacts of global warming on rice cultivation in Kumamoto
Bachelor's Theses
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Satori Teruya
Predicting soil hydraulic conductivity from nationwide geotechnical data in Japan using deep learning
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Ryoma Naka
Automated input generation for river flow simulations from natural language instructions using ChatGPT
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Yusei Ide
Developing deep learning models tailored for river discharge forecasting