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Transformer Differential Protection using Deep Convolutional Neural Networks

Lutfi, Abdulla Eyad
Date
2019-12
Author
Lutfi, Abdulla Eyad
Advisor
Osman, Ahmed
Tariq, Usman
Type
Thesis
Degree
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35.232-2019.46a Abdulla Eyad Lutfi.pdf
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Description
A Master of Science thesis in Electrical Engineering by Abdulla Eyad Lutfi entitled, “Transformer Differential Protection using Deep Convolutional Neural Networks”, submitted in December 2019. Thesis advisor is Dr. Ahmed Osman and thesis co-advisor is Dr. Usman Tariq. Soft copy is available (Thesis, Approval Signatures, Completion Certificate, and AUS Archives Consent Form).
Abstract
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http://hdl.handle.net/11073/16557
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Masters Theses
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