00851nam a22001697a 4500040003700000082001500037100002500052245008900077260003600166300004600202500015000248500004100398500008200439502005500521546001200576650009300588  cRiphah International University   a005.1bAYM  aAyman Hassan (29210)  aReal-time automated defect detection of metallic conduits through borescope imaging   aIslamabad b(unpublished)c2023  axvii, 84 p.b: ill., Col.c; 30 cm.e+CD   aSubmitted in the partial fulfillment of the requirements for the degree of Master of science in software engineering in the Faculty of Computing.  aIncludes bibliographical references   aThesis supervisor: Ms. Hajra Murtaza
Thesis co-supervisor: Dr. Ghulam Murtaza  aThesis (MS)--Riphah International University, 2023  aEnglish  aSoftware EngineeringvMetallic surfacevDetection algorithmsvDeep learningvMetricsvFC