Virtual Sensor to Impute Missing Data Using Data Correlation and GAN-Based Model

Author:

Quan Nguyen Thanh,Hung Nguyen Quang,Thoai Nam

Publisher

Springer Nature Switzerland

Reference15 articles.

1. IHS Markit. 8 in 2018: The top transformative technologies to watch this year (2018). https://cdn.ihs.com/www/pdf/IHS-Markit-2018-Top-Transformative-Technology-Trends.pdf

2. Yoon, J., Jordon, J., Schaar, M.: Gain: missing data imputation using generative adversarial nets. In: International Conference on Machine Learning, pp. 5689–5698. PMLR (2018)

3. Goodfellow, I., et al.: Generative adversarial nets. Adv. Neural Inf. Process. Syst. 27 (2014)

4. Ilyas, E.B., Fischer, M., Iggena, T., Tönjes, R.: Virtual sensor creation to replace faulty sensors using automated machine learning techniques. In: 2020 Global Internet of Things Summit (GIoTS), pp. 1–6. IEEE (2020)

5. Pedrollo, G., Konzen, A.A., de Morais, W.O., de Freitas, E.P.: Using smart virtual-sensor nodes to improve the robustness of indoor localization systems. Sensors 21(11), 3912 (2021)

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