APA (7th ed.) Citation

S, H., MW, M., KHA, A., F, S., & BAS, A. (2021). A Novel Feature-Engineered-NGBoost Machine-Learning Framework for Fraud Detection in Electric Power Consumption Data. Sensors (Basel, Switzerland), 21(24), . https://doi.org/10.3390/s21248423

Chicago Style (17th ed.) Citation

S, Hussain, Mustafa MW, Al-Shqeerat KHA, Saeed F, and Al-Rimy BAS. "A Novel Feature-Engineered-NGBoost Machine-Learning Framework for Fraud Detection in Electric Power Consumption Data." Sensors (Basel, Switzerland) 21, no. 24 (2021). https://doi.org/10.3390/s21248423.

MLA (9th ed.) Citation

S, Hussain, et al. "A Novel Feature-Engineered-NGBoost Machine-Learning Framework for Fraud Detection in Electric Power Consumption Data." Sensors (Basel, Switzerland), vol. 21, no. 24, 2021, https://doi.org/10.3390/s21248423.