Author:
Tee F. K.,Loh G. X.,Sumaiya K.,Cha Z. Y.,JosephNg P. S.,Phan K. Y.,Lim J. T.
Publisher
Springer International Publishing
Reference38 articles.
1. Arsenovic, M., Sladojevic, S., Stefanovic, D.: FaceTime - deep learning-based face recognition attendance system. Int. Symp. Intell. Syst. Inform. 2017, 53–58 (2017)
2. Bussa, S., Mani, A., Kaushik, S.: Smart attendance system using OPENCV based on facial recognition. Int. J. Eng. Res. Technol. 9(3), 54–59 (2020)
3. Chakraborty, P., Muzammel, C.S., Khatun, M., Islam, S.F., Rahman, S.: Automatic student attendance system using face recognition. Int. J. Eng. Adv. Technol. (IJEAT) 9(3), 93–99 (2020). https://doi.org/10.35940/ijeat.B4207.029320
4. Vica, V., et al.: JomImage SnapFudo: control your food in a snap. In: International Conference on Engineering Technologies and Applied Science, Kuala Lumpur, Malaysia, pp. 1–5 (2019)
5. Vivilyana, V., et al.: JomImage: weight control with mobile snapfudo. In: Intelligent Systems Conference, Amsterdam, Netherland, pp. 168–180 (2020)
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