Creating Synthetic Test Data by Generative Adversarial Networks (GANs) for Mobile Health (mHealth) Applications

Author:

Ahmad NadeemORCID,Feroz IrumORCID,Ahmad FaizanORCID

Publisher

Springer Nature Switzerland

Reference26 articles.

1. MHealth apps market size, Analysis: Global Report. In: mHealth Apps Market Size, Analysis | Global Report (2030). https://www.fortunebusinessinsights.com/mhealth-apps-market-102020. Accessed 7 Jan 2024

2. MHealth market size, share, Growth & Trends Report. In: mHealth Market Size, Share, Growth & Trends Report (2030). https://www.grandviewresearch.com/industry-analysis/mhealth-market. Accessed 7 Jan 2024

3. Maramba, I., Chatterjee, A., Newman, C.: Methods of usability testing in the development of eHealth Applications: a scoping review. Int. J. Med. Inf. 126, 95–104 (2019). https://doi.org/10.1016/j.ijmedinf.2019.03.018

4. Labaca-Castro, R.: Generative adversarial nets. In: Machine Learning under Malware Attack, pp. 73–76 (2023). https://doi.org/10.1007/978-3-658-40442-0_9

5. Karras, T., et al.: Progressive growing of gans for improved quality, stability, and Variation (2018). arXiv.org. https://doi.org/10.48550/arXiv.1710.10196. Accessed 07 Jan 2024

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