| contributor author | Takami, Tomoki | |
| contributor author | Kitahara, Masaru | |
| date accessioned | 2026-08-20T21:25:31Z | |
| date available | 2026-08-20T21:25:31Z | |
| date copyright | 2025/11/25 | |
| date issued | 2026 | |
| identifier other | AJRUA6.RUENG-1756.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314431 | |
| description abstract | AbstractAn efficient method is presented for estimating extreme nonlinear roll motion of a
ship in beam seas in a given short-term sea state. With the aim of reducing the number
of numerical simulations for roll motion simulation, this study employs an ... | |
| publisher | American Society of Civil Engineers | |
| title | Active Learning–Based Estimation of Extreme Roll Motion in Beam Seas with Supervised Dimensionality Reduction and Gradient Approximation | |
| type | Journal Article | |
| journal volume | 12 | |
| journal issue | 1 | |
| journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
| identifier doi | 10.1061/AJRUA6.RUENG-1756 | |
| journal fristpage | 04025104-1 | |
| journal lastpage | 04025104-11 | |
| page | 11 | |
| tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 001 | |
| contenttype | Fulltext | |