| Automatic detection method of cracks from concrete surface imagery using two‐step light gradient boosting machine P Chun, S Izumi, T Yamane Computer‐Aided Civil and Infrastructure Engineering 36 (1), 61-72, 2021 | 190 | 2021 |
| Evaluation of tensile performance of steel members by analysis of corroded steel surface using deep learning P Chun, T Yamane, S Izumi, T Kameda Metals 9 (12), 1259, 2019 | 49 | 2019 |
| Development of a machine learning-based damage identification method using multi-point simultaneous acceleration measurement results P Chun, T Yamane, S Izumi, N Kuramoto Sensors 20 (10), 2780, 2020 | 39 | 2020 |
| Utilization of unmanned aerial vehicle, artificial intelligence, and remote measurement technology for bridge inspections P Chun, J Dang, S Hamasaki, R Yajima, T Kameda, H Wada, T Yamane, ... Journal of Robotics and Mechatronics 32 (6), 1244-1258, 2020 | 26 | 2020 |
| Defect detection on asphalt pavement by deep learning JN Opara, ABB Thein, S Izumi, H Yasuhara, PJ Chun GEOMATE Journal 21 (83), 87-94, 2021 | 15 | 2021 |
| Semantic Segmentation を用いた橋梁 3 次元モデルへのひび割れ位置の反映 山根達郎， 上野雄也， 叶井和樹， 泉翔太， 全邦釘 AI・データサイエンス論文集 1 (J1), 491-497, 2020 | 4 | 2020 |
| Reflection of the position of cracks in a 3-d model of a bridge using semantic segmentation T YAMANE, Y UENO, K KANAI, S IZUMI, P CHUN Artificial Intelligence and Data Science 2 (1), 11-17, 2021 | 2 | 2021 |
| Attention 機構を用いた Deep Learning モデルによるひび割れ自動検出 泉翔太， 全邦釘 AI・データサイエンス論文集 2 (J2), 545-555, 2021 | 1 | 2021 |
| Deep Learning を用いたマイクロブログ投稿文の災害情報分類 泉翔太， 堀太成， 山根達郎， 全邦釘， 藤森祥文， 森脇亮 AI・データサイエンス論文集 1 (J1), 398-405, 2020 | 1 | 2020 |
| MSMGPV を用いた深層学習による降水量予測~ 空間範囲とリードタイムの基礎的検討~ 木原拓海， 泉翔太， 藤森祥文， 森脇亮 土木学会論文集 B1 (水工学) 76 (2), I_337-I_342, 2020 | 1 | 2020 |
| Infrared image-analysis-based concrete inspection using machine learning S Hayashi, K Kawanishi, T Yamane, S Izumi, I Ujike, P Chun Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and …, 2021 | | 2021 |
| 強化学習を用いたバックホウの掘削動作生成 泉翔太， 谷島諒丞， 全邦釘 AI・データサイエンス論文集 1 (J1), 307-312, 2020 | | 2020 |
| Deep-Learning Model for Prediction of Precipitation Using Msm-Study on Spatial Range and Leading T Kihara, S Izumi, Y Fujimori, R Moriwaki Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering …, 2020 | | 2020 |
