default author photo

Tomoya Inoue

Japan Agency for Marine-Earth Science and Technology

  • Japan Agency for Marine-Earth Science and Technology

SCHOLARLY PAPERS

1

DOWNLOADS

46

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Hybrid Physics-Based and Machine Learning Model with Interpretability and Uncertainty for Real-Time Estimation of Unmeasurable Parts

Number of pages: 30 Posted: 01 Oct 2022
Tatsuya Kaneko, Ryota Wada, Masahiko Ozaki and Tomoya Inoue
Japan Agency for Marine-Earth Science and Technology, The University of Tokyo, University of Tokyo and Japan Agency for Marine-Earth Science and Technology
Downloads 46 (1,121,190)

Abstract:

Loading...

Hybrid model, Machine learning, Explainable artificial intelligence, Uncertainty quantification, Domain randomization, Offshore drilling