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Cross-disciplinary Methodology for Studying Walkability in Urban Environments
Stefania BANDINI1,2, Andrea GORRINI1, Katsuhiro NISHINARI2
1CSAI-Complex Systems and Artificial Intelligence Research Center, University of Milano-Bicocca, 2RCAST-Research Center for Advance Science and Technology, The University of Tokyo
Journal of Japan Society of Kansei Engineering 15 (1) 25-28, 2017.
1CSAI-Complex Systems and Artificial Intelligence Research Center, University of Milano-Bicocca, 2RCAST-Research Center for Advance Science and Technology, The University of Tokyo
Journal of Japan Society of Kansei Engineering 15 (1) 25-28, 2017.
- アブストラクト: 従量制は110円(税込)、基本料金制は基本料金に含まれます。
- 全文ダウンロード: 従量制、基本料金制の方共に770円(税込) です。
DL-KES : A Deep Learning Based Kansei Engineering System
Yun GONG, Pei-Luen Patrick RAU
Tsinghua University
Journal of Japan Society of Kansei Engineering 15 (1) 29-31, 2017.
Tsinghua University
Journal of Japan Society of Kansei Engineering 15 (1) 29-31, 2017.
- アブストラクト: 従量制は110円(税込)、基本料金制は基本料金に含まれます。
- 全文ダウンロード: 従量制、基本料金制の方共に770円(税込) です。