Taisei Saida
Taisei Saida
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構造物地震応答予測のための1自由度系応答データを用いた転移学習
CNNによる地震動特徴量の抽出機構を有するガウス過程サロゲートモデルによる地震フラジリティ解析
Large-Scale Structural Anomaly Detection During Seismic Events Using Optical Flow and Transfer Learning from Video Data
ExSRNet: Explainable deep learning model for seismic response prediction with frequency attention mechanism
(キーノート講演)転移学習を用いた深層学習モデルによる観測データを基にした構造物地震応答の予測
Seismic Fragility Assessment using Explainable Deep Kernel Learning Surrogate Model considering Structural and Seismic Uncertainties
Seismic Fragility Assessment using Explainable Deep Kernel Learning Surrogate Model considering Structural and Seismic Uncertainties
周波数領域での解釈性を有する構造物地震応答予測モデルの観測データによる学習(シンポジウム講演概要)
Optical Flow-Based Structural Anomaly Detection in Seismic Events From Video Data Combined With Computational Cost Reduction Through Deep Learning
System fragility analysis of highway bridge using multi-output Gaussian process regression surrogate model
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