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Real-time automated defect detection of metallic conduits through borescope imaging

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Material type: Text

TextPublication details: Islamabad (unpublished) 2023Description: xvii, 84 p. : ill., Col. ; 30 cm. +CDSubject(s):

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Dissertation note: Thesis (MS)--Riphah International University, 2023

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	Main Campus	005.1 AYM (Browse shelf(Opens below))	1	NOT for LOAN		102039

Submitted in the partial fulfillment of the requirements for the degree of Master of science in software engineering in the Faculty of Computing.

Includes bibliographical references

Thesis supervisor: Ms. Hajra Murtaza
Thesis co-supervisor: Dr. Ghulam Murtaza

Thesis (MS)--Riphah International University, 2023

English

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