◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

T. Hesser

2 papers here

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedApplication of Deep Learning-based Interpolation Methods to Nearshore Bathymetry

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2020

Application of deep learning to large scale riverine flow velocity estimation

Mojtaba Forghani, Yizhou Qian, Jonghyun Lee +4

Fast and reliable prediction of riverine flow velocities is important in many applications, including flood risk management. The shallow water equations (SWEs) are commonly used fo…

stat.ML2020★ 2 cited

Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry

Yizhou Qian, Mojtaba Forghani, Jonghyun Harry Lee +4

Nearshore bathymetry, the topography of the ocean floor in coastal zones, is vital for predicting the surf zone hydrodynamics and for route planning to avoid subsurface features. H…

◍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.