Academic Year 2025
Master's Thesis
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Satori Teruya
Analysis of relationships between physical properties using big data of geotechnical information throughout Japan
Bachelor's Thesis
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Yoshito Kato
Assessment of global warming impacts across Japan including recent data
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Ryuku Tsuji
Improvement of river discharge estimation accuracy through ensemble learning including the latest methods
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Yuki Yamada
Development of deep learning methods suitable for river discharge estimation
Academic Year 2024
Master's Thesis
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Sunao Uragoshi
Improvement of river discharge prediction using deep learning through input variable selection and preprocessing
Bachelor's Thesis
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Koichi Nagata
Quantitative assessment of the impact of uncertainty in future climate projections on prediction results
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Junsei Shichida
Applicability of river discharge forecasting using deep learning to data ranges outside of training
Academic Year 2023
Master's Thesis
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Yuta Hamaguchi
Evaluation of the impact of global warming on rice cultivation in Kumamoto
Bachelor's Thesis
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Satori Teruya
Prediction of soil hydraulic conductivity using deep learning with soil data from throughout Japan
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Ryoma Naka
Automated generation of inputs for river flow simulation based on natural language commands using ChatGPT
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Yusei Ide
Construction of deep learning models suitable for river discharge forecasting