Technical Program

Paper Detail

Paper Title Earthquake damage estimation by sparse modeling using geospatial big data
Paper IdentifierFR1.R1.5
Authors Yoshiki Ogawa, Yuki Akiyama, Yoshihide Sekimoto, Ryosuke Shibasaki, University of Tokyo, Japan
Session Big Data and Machine Learning for Improving Urban Climate Resiliency I
Location Room 211-212
Session Time Friday, 02 August, 09:20 - 09:40
Presentation Time Friday, 02 August, 09:20 - 09:40
Presentation Mode Oral
Topic Invited Sessions: Big data and machine learning for improving urban climate resiliency