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Implementing Fairness Constraints For Bias Mitigation in FRT; Consequences of Biased FRT on Disadvantaged Communities

The broader issue that both my technical and STS research papers tackle is that racial bias exists in facial recognition technology (FRT) and that bias can have serious negative consequences for marginalized groups. Some examples of these consequences are: wrongful arrests on the basis of faulty facial recognition matches, and racist image labelling by
openaire   +1 more source

Reduced fire blight susceptibility in apple cultivars using a high‐efficiency CRISPR/Cas9‐FLP/FRT‐based gene editing system

Plant Biotechnology Journal, 2020
Valerio Pompili   +2 more
exaly  

Review on FRT solutions for improving transient stability in DFIG‐WTs

IET Renewable Power Generation, 2018
Umashankar Subramaniam
exaly  

Efficient SVD-based audio watermarking technique in FRT domain

Multimedia Tools and Applications, 2019
Saied M Abd El-Atty
exaly  

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