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Fatemeh Rashidi Fathabadi
ResearcherPublications, citations & collaboration network
Fatemeh Rashidi Fathabadi is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 14 works, 222 citations, an h-index of 9 and an i10-index of 7.
14
Works
222
Citations
9
h-index
7
i10-index
How has Fatemeh Rashidi Fathabadi's publication output changed over time?
ScholarIQpublication output · 2019–2023
Output grew100% over the shown period — from 1 works in 2019 to 2 in 2023.
1
2
3
3
2
20192020202120222023
What are the most-cited papers on Fatemeh Rashidi Fathabadi?
ScholarIQmost cited works
Supervisory predictive control for wheel slip prevention and tracking of desired speed profile in electric trains
Bijan Moaveni, Fatemeh Rashidi Fathabadi, Ali Molavi
S89543202. 202052 Citations
Fuzzy control system design for wheel slip prevention and tracking of desired speed profile in electric trains
Bijan Moaveni, Fatemeh Rashidi Fathabadi, Ali Molavi
S103568991. 202044 CitationsOPEN ACCESS
Box-Trainer Assessment System with Real-Time Multi-Class Detection and Tracking of Laparoscopic Instruments, using CNN
Fatemeh Rashidi Fathabadi, Janos L. Grantner, Ikhlas Abdel‐Qader, Saad A Shebrain
Acta Polytechnica Hungarica. 202225 CitationsOPEN ACCESS
Multi-Class Detection of Laparoscopic Instruments for the Intelligent Box-Trainer System Using Faster R-CNN Architecture
Fatemeh Rashidi Fathabadi, Janos L. Grantner, Saad A Shebrain, Ikhlas Abdel‐Qader
202124 Citations
Surgical Skill Assessment System Using Fuzzy Logic in a Multi-Class Detection of Laparoscopic Box-Trainer Instruments
Fatemeh Rashidi Fathabadi, Janos L. Grantner, Saad A Shebrain, Ikhlas Abdel‐Qader
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 202113 Citations
Related on ScholarIQ
Western Michigan University
Institution
Supervisory predictive control for wheel slip prevention and tracking of desired speed profile in electric trains
Paper
Fuzzy control system design for wheel slip prevention and tracking of desired speed profile in electric trains
Paper
Box-Trainer Assessment System with Real-Time Multi-Class Detection and Tracking of Laparoscopic Instruments, using CNN
Paper
Multi-Class Detection of Laparoscopic Instruments for the Intelligent Box-Trainer System Using Faster R-CNN Architecture
Paper
Surgical Skill Assessment System Using Fuzzy Logic in a Multi-Class Detection of Laparoscopic Box-Trainer Instruments
Paper