Deep learning framework for iridology
Material type:
TextPublication details: Islamabad (unpublished) 2017Description: iii, 26 p. : ill . ; 30 cm. +CDSubject(s): DDC classification: - 617.71 FAW
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
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Thesis
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Main Campus | 617.71 FAW (Browse shelf(Opens below)) | 1 | NOT for LOAN | 28743 |
Submitted in fulfillment of the requirements for the degree of Master of Science in Electrical Engineering for the Faculty of Engineering and Applied Science.
Includes bibliographical references.
Thesis Supervisor: Dr Tassadaq Hussain
Thesis (MS)--Riphah International Univeristy, 2017
English
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