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Muta Tah Hira

2 papers hereh-index 4153 citations7 works total

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

author position
  • first author1
  • last author1

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

fields
  • cs.CR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedOvarian Cancer Data Analysis using Deep Learning: A Systematic Review from the Perspectives of Key Features of Data Analysis and AI Assurance

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2026

GenAI-FDIA: Physics-Informed Generative Models for False Data Injection Attacks

Mohammad A. Razzaque, Muta Tah Hira

Training and evaluating false data injection attack (FDIA) detectors for power systems is constrained by data scarcity. Operational grid measurements are commercially sensitive, an…

cs.LG2023★ 4 cited

Ovarian Cancer Data Analysis using Deep Learning: A Systematic Review from the Perspectives of Key Features of Data Analysis and AI Assurance

Muta Tah Hira, Mohammad A. Razzaque, Mosharraf Sarker

Background and objectives: By extracting this information, Machine or Deep Learning (ML/DL)-based autonomous data analysis tools can assist clinicians and cancer researchers in dis…

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