| Reinforcement learning and graph embedding for binary truss topology optimization under stress and displacement constraints K Hayashi, M Ohsaki Frontiers in Built Environment 6, 59, 2020 | 61 | 2020 |
| Reinforcement learning for optimum design of a plane frame under static loads K Hayashi, M Ohsaki Engineering with Computers 37 (3), 1999-2011, 2021 | 37 | 2021 |
| Graph-based reinforcement learning for discrete cross-section optimization of planar steel frames K Hayashi, M Ohsaki Advanced Engineering Informatics 51, 101512, 2022 | 34 | 2022 |
| Machine-specified ground structures for topology optimization of binary trusses using graph embedding policy network S Zhu, M Ohsaki, K Hayashi, X Guo Advances in Engineering Software 159, 103032, 2021 | 28 | 2021 |
| Force density method for simultaneous optimization of geometry and topology of trusses M Ohsaki, K Hayashi Structural and Multidisciplinary Optimization 56, 1157-1168, 2017 | 27 | 2017 |
| FDMopt: Force density method for optimal geometry and topology of trusses K Hayashi, M Ohsaki Advances in Engineering Software 133, 12-19, 2019 | 17 | 2019 |
| Discrete Gaussian curvature flow for piecewise constant Gaussian curvature surface K Hayashi, Y Jikumaru, M Ohsaki, T Kagaya, Y Yokosuka Computer-Aided Design 134, 102992, 2021 | 11 | 2021 |
| Deep deterministic policy gradient and graph convolutional network for bracing direction optimization of grid shells C Kupwiwat, K Hayashi, M Ohsaki Frontiers in Built Environment 8, 899072, 2022 | 8 | 2022 |
| Progress of gyrotron development in JAEA K Sakamoto, K Kajiwara, Y Oda, K Takahashi, K Hayashi Proc. 8th Int. Workshop Strong Microwaves and Terahertz Waves: Sources and …, 2011 | 8 | 2011 |
| Assembly sequence optimization of spatial trusses using graph embedding and reinforcement learning K Hayashi, M Ohsaki, M Kotera Journal of the International Association for Shell and Spatial Structures 63 …, 2022 | 7 | 2022 |
| Multi-objective optimization of truss structure using multi-agent reinforcement learning and graph representation C Kupwiwat, K Hayashi, M Ohsaki Engineering Applications of Artificial Intelligence 129, 107594, 2024 | 6 | 2024 |
| Deep deterministic policy gradient and graph attention network for geometry optimization of latticed shells C Kupwiwat, K Hayashi, M Ohsaki Applied Intelligence 53 (17), 19809-19826, 2023 | 6 | 2023 |
| Progress of high power multi-frequency gyrotron development, 37th Int K Sakamoto, K Kajiwara, Y Oda, K Takahashi, K Hayashi, N Kobayashi Conf. on Infrared, Millimeter and Terahertz Waves (IRMMW-THz 2012 …, 2012 | 6 | 2012 |
| Mean curvature flow for generating discrete surfaces with piecewise constant mean curvatures K Hayashi, Y Jikumaru, M Ohsaki, T Kagaya, Y Yokosuka Computer Aided Geometric Design 101, 102169, 2023 | 4 | 2023 |
| Deep deterministic policy gradient and graph convolutional networks for topology optimization of braced steel frames C KUPWIWAT, Y IWAGOE, K HAYASHI, M OHSAKI 構造工学論文集 B 69, 129-139, 2023 | 4 | 2023 |
| Thin-layer chromatography of tellurium, selenium, and chromium K Hayashi, T Ogata Bunseki Kagaku 14, 1146-1149, 1965 | 2 | 1965 |
| Evaluating Image Review Ability of Vision Language Models S Saito, K Hayashi, Y Ide, Y Sakai, K Onishi, T Suzuki, S Gobara, ... arXiv preprint arXiv:2402.12121, 2024 | 1 | 2024 |
| Sizing optimization of free-form lattice shells using deep deterministic policy gradient and graph convolutional networks C Kupwiwat, K Hayashi, M Ohsaki Proceedings of IASS Annual Symposia 2023 (9), 1-11, 2023 | 1 | 2023 |
| Isogeometric deep learning framework to predict the structural performance of free-form surfaces K Hayashi, M Ohsaki Proceedings of IASS Annual Symposia 2023 (10), 1-9, 2023 | 1 | 2023 |
| Deep reinforcement learning-based critical element identification and demolition planning of frame structures S Zhu, M Ohsaki, K Hayashi, S Zong, X Guo Frontiers of Structural and Civil Engineering 16 (11), 1397-1414, 2022 | 1 | 2022 |
Makoto OhsakiKyoto University在 archi.kyoto-u.ac.jp 的电子邮件经过验证
