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Synthesis health data generation through generative adversarial network (GAN) a systematic literature review

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Material type: Text

TextPublication details: Islamabad (Unpublished) 2022Description: 96 p. : ill. ; 30 cm. +CDSubject(s):

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Dissertation note: Thesis (M.S.)--Riphah International University, 2022

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Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	Main Campus	005.1 MAR (Browse shelf(Opens below))	1	NOT for LOAN		68598

Previous	No cover image available		No cover image available	No cover image available	No cover image available			Next
Previous	005.1 MAM Challenges and best practices in industry-academia collaboration in software engineering	005.1 MAR Agile software development, principles, patterns, and practices	005.1 MAR Classification of writers's demographics from Urdu handwriting	005.1 MAR Synthesis health data generation through generative adversarial network (GAN)	005.1 MAW Impcat of effective data communication mechanism upon latency from cloud to fog	005.1 MCC Code complete	005.1 MCC Coding for kids	Next

Submitted in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering to the Faculty of Computing.

Includes bibliographical references.

Thesis supervisor: Ms. Naurin Farooq
Thesis Co-supervisor: Ms. Hajra Murtaza

Thesis (M.S.)--Riphah International University, 2022

English

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