◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Naoya Umeda

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.SY1
  • math.DS1
  • physics.flu-dyn1
ORCID 0000-0001-9156-4343
same name
  • Naoya Umeda — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212023
most citedOn Neural Network Identification for Low-Speed Ship Maneuvering Model

71 citations · 71 across the 3 of their papers we have counts for

collaborators

3 papers

physics.flu-dyn2023

Development of a Mathematical Model for Harbor-Maneuvers to Realize Modeling Automation

Yoshiki Miyauchi, Youhei Akimoto, Naoya Umeda +1

A simulation environment of harbor maneuvers is critical for developing automatic berthing. Dynamic models are widely used to estimate harbor maneuvers. However, human decision-mak…

math.DS2022

Stochastic Assessment of Acceleration Probability Density Function for Parametric Rolling Using Moment Method

Yuuki Maruyama, Atsuo Maki, Leo Dostal +1

Container ships encounter large roll angles and high acceleration, and container loss remains a problem. This study proposes a method for calculating the probability density functi…

eess.SY2021★ 71 cited

On Neural Network Identification for Low-Speed Ship Maneuvering Model

Kouki Wakita, Atsuo Maki, Umeda Naoya +4

Several studies on ship maneuvering models have been conducted using captive model tests or computational fluid dynamics (CFD) and physical models, such as the maneuvering modeling…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.