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researcher

Rasha Alshawi

3 papers here

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

author position
  • first author3

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

fields
  • cs.CV2
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedSHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024

Imbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced Feature Pyramid Network

Rasha Alshawi, Md Meftahul Ferdaus, Mahdi Abdelguerfi +3

Imbalanced datasets are a significant challenge in real-world scenarios. They lead to models that underperform on underrepresented classes, which is a critical issue in infrastruct…

cs.CV2024★ 1 cited

SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes

Rasha Alshawi, Md Meftahul Ferdaus, Md Tamjidul Hoque +4

This paper introduces Semantic Haar-Adaptive Refined Pyramid Network (SHARP-Net), a novel architecture for semantic segmentation. SHARP-Net integrates a bottom-up pathway featuring…

cs.CL2023

A Novel Dataset Towards Extracting Virus-Host Interactions

Rasha Alshawi, Atriya Sen, Nathan S. Upham +1

We describe a novel dataset for the automated recognition of named taxonomic and other entities relevant to the association of viruses with their hosts. We further describe some in…

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