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researcher

E. Goharian

2 papers hereh-index 222.1k citations92 works total

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

author position
  • last author2

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

fields
  • cs.CV1
  • physics.geo-ph1

identity via Semantic Scholar / OpenAlex

most citedThe geometry of flow: Advancing predictions of river geometry with multi-model machine learning

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

physics.geo-ph2023★ 1 cited

The geometry of flow: Advancing predictions of river geometry with multi-model machine learning

Shuyu Y Chang, Zahra Ghahremani, Laura Manuel +7

Hydraulic geometry parameters describing river hydrogeomorphic is important for flood forecasting. Although well-established, power-law hydraulic geometry curves have been widely u…

cs.CV2021

ATLANTIS: A Benchmark for Semantic Segmentation of Waterbody Images

Seyed Mohammad Hassan Erfani, Zhenyao Wu, Xinyi Wu +2

Vision-based semantic segmentation of waterbodies and nearby related objects provides important information for managing water resources and handling flooding emergency. However, t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.