Tomoki Takami 研究室

AI 要約（直近 5 年の研究成果）

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

研究成果（26 件）

• [2026] Time-reversal approach for probabilistic identification of nonlinear design irregular waves
  DOI: https://doi.org/10.1016/j.oceaneng.2026.126779
• [2026] Investigation of depth-effects on the doppler shift and the consequence in spectral response calculations for ships
  DOI: https://doi.org/10.1016/j.oceaneng.2026.124298
• [2026] Experimental study on extreme parametric rolling using design wave
  DOI: https://doi.org/10.1007/s00773-026-01114-1
• [2025] An exact algorithm for spectral calculations of wave-induced ship responses
  DOI: https://doi.org/10.1016/j.oceaneng.2025.122183
• [2025] Validation of operational guidance for parametric roll based on the extended Grim’s effective wave theory: insights from tank tests and 6-DOF simulation
  DOI: https://doi.org/10.1007/s00773-025-01094-8
• [2025] Blind identification of incident waves and response transfer functions of a marine vessel based on measured responses
  DOI: https://doi.org/10.1016/j.eswa.2025.129236
• [2025] Uncertainty-Aware Efficient Estimation of the Probability Density Function for Excessive Rolling of a Ship
  DOI: https://doi.org/10.1061/ajrua6.rueng-1626
• [2025] Uncertainty assessment of ship transfer functions arising from numerical methods and variability in actual operational conditions
  DOI: https://doi.org/10.1016/j.oceaneng.2025.122309
• [2025] Development of one-week ahead work safety prediction system combining machine learning-based wave prediction and motion response prediction of a workvessel
  DOI: https://doi.org/10.9749/jin.153.36
• [2025] Active Learning–Based Estimation of Extreme Roll Motion in Beam Seas with Supervised Dimensionality Reduction and Gradient Approximation
  DOI: https://doi.org/10.1061/ajrua6.rueng-1756

科研費（0 件）

まだデータがありません（KAKEN 取り込み後に表示）。

所属学会・役職（0 件）

まだデータがありません（学会データ連携後に表示）。