Flood Prediction

Machine-learning flood prediction models enable large-scale, high-resolution inundation forecasting that conventional numerical simulation could not achieve.

Real-time Flood Prediction with Deep Learning

深層学習と次元圧縮技術の融合による、リアルタイム浸水域予測手法の構築

Real-time Flood Prediction with Deep Learning

Developing a surrogate model that combines dimensionality reduction and deep learning to predict flood inundation areas in seconds while maintaining accuracy comparable to physics-based simulation.

#Deep Learning#River Flooding#Real-time Prediction

Underwater Object Classification with Deep Learning

深層学習に基づいた水中物体分類手法の構築

Underwater Object Classification with Deep Learning

Using deep learning to classify and colorize point clouds by structure, making underwater survey data - which lacks color information - easier to interpret.

#Deep Learning#Point Cloud#Underwater Survey

Roughness Estimation from Point Clouds

点群を用いた粗度算出手法の構築

Roughness Estimation from Point Clouds

Estimating roughness coefficients from terrain features captured in LiDAR point clouds to improve the accuracy of flood inundation simulation.

#Point Cloud#Roughness Coefficient#Flood Simulation