Session Details
Machine learning / IoT / DX (1)
Sat. Nov 25, 2023 2:00 PM - 3:30 PM JST
Sat. Nov 25, 2023 5:00 AM - 6:30 AM UTC
Sat. Nov 25, 2023 5:00 AM - 6:30 AM UTC
G416 PACIFICO Yokohama North, 4F
Chairperson: Dang Ji (Saitama University)
[Day3-G416-13]Development of A Damage Detection Method for Wooded Buildings by Instance Segmentation
*Yohei UEOKA1, Satoshi TANAKA2 (1. Mikuniya Co., 2. Graduate School of Environment and Disaster Research, Tokoha University.)
[Day3-G416-14]Construction of a repair estimation calculation system for determining
damage to residential buildings using AI
*Taiga Shibata1, Muneyoshi Numada1 (1. University of Tokyo Institute of Production Technology)
[Day3-G416-15]Earthquake damage detection and level classification method based on convolutional neural network using onsite photographs of the Kumamoto Earthquake
*Kai Wu1, Masashi Matsuoka1, Haruki Oshio1 (1. Tokyo Institute of Technology)
[Day3-G416-16]Building Damage Assessment Model Using AI and Damage Rate Evaluation by Video from Vehicle-mounted Camera
*Kota Osasa1, Keisuke Kato1, Yuya Takase1, Tadayoshi Nakashima2 (1. Muroran Institute of Technology, 2. Hokkaido University)
[Day3-G416-17]Analysis of the Relationship Between the Accuracy of Damage Estimation Using Deep Learning Models Based on Seismic Response Analysis Results and Seismic Ground Motion
*Atsushi Aoi1, Nyamkhuu Ganbat2, Hiroshi Tsunekawa1, Mutsuhiro Yoshizawa1, Atsushi Kanbayashi1, Tomonori Hashiyama2 (1. Takenaka Corporation, 2. The University of Electro-Communications)
[Day3-G416-18]Machine Learning-Based Seismic Damage Prediction of Buildings at a Regional Scale
*Sanjeev Bhatta1, Xiandong Kang2, Ji Dang1 (1. Saitama University, 2. Beijing earthquake agency)
[Day3-G416-19]RECOGNITION OF DAMAGES FROM WAVE PROPAGATION BETWEEN TWO ADJACENT FLOORS USING CNN
*Aijia Zhang1, Xin Wang2, Ji Dang1 (1. Saitama University, 2. Ashikaga University)
