Synthesis health data generation through generative adversarial network (GAN) a systematic literature review
- Islamabad (Unpublished) 2022
- 96 p. : ill. ; 30 cm. +CD
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
Software engineering--General adversarial network --Synthetic health data --Quality attributes--Data extraction--FC