Session Details
土木分野におけるAIの活用(その7)
Thu. Sep 3, 2026 4:50 PM - 6:10 PM JST
Thu. Sep 3, 2026 7:50 AM - 9:10 AM UTC
Thu. Sep 3, 2026 7:50 AM - 9:10 AM UTC
Room D60, 6th Floor, Building 7 (Hokkai-Gakuen University)
[CS14-47]Performance Comparison Between Gaussian Process Regression and GBDT for Spatial Interpolation of Ground Motion Intensity Measures
*Keigo Tsukioka1, Naoyasu Iwata1, Yoshihisa Maruyama2 (1. Railway Technical Research Institute, 2. Graduate School of Engineering, Chiba University)
[CS14-48]Re-examining the features used in predicting road impassable areas during disasters using anomaly detection methods
*Kunihiko Hosaka1, Kazuaki Torisawa2 (1. Graduate School, Kanto Gakuin University , 2. Kanto Gakuin University)
[CS14-49]Comparison of Predictive Models for Anomaly Detection Using Slope Monitoring Time-Series Data
*Nobutaka Hiraoka1, Masoho Ide2, Kazuya Itoh2 (1. JNIOSH, 2. Tokyo City University)
[CS14-50]Reconstruction of Seismic Ground Motion Waveforms via Gaussian Process Regression of Wavelet Coefficients Incorporating a Distance Attenuation Relationship
*Junya Saito1, Takasi Miyamoto2 (1. Yamanashi University, 2. Science Tokyo)
[CS14-51]Examination of the method to watch the guard section by image analysis
*Ichinori Ohara1, Toshiki Ishizawa1, Ryuji Oshima1, Daisuke Izumi1, Kenichi Kuribayashi1 (1. East Japan Railway Company)
[CS14-52]On-site flight test of an unmanned aerial vehicle equipped with a disaster-affected area AI automatic extraction system
*Takeshi Umebara1, Takao Okada1 (1. NILIM)
