Shaziayani, W.N.; Ahmat, H.; Razak, T.R.; Zainan Abidin, A.W.; Warris, S.N.; Asmat, A.; Noor, N.M.; Ul-Saufie, A.Z.
A Novel Hybrid Model Combining the Support Vector Machine (SVM) and Boosted Regression Trees (BRT) Technique in Predicting PM10 Concentration. Atmosphere 2022, 13, 2046.
https://doi.org/10.3390/atmos13122046
AMA Style
Shaziayani WN, Ahmat H, Razak TR, Zainan Abidin AW, Warris SN, Asmat A, Noor NM, Ul-Saufie AZ.
A Novel Hybrid Model Combining the Support Vector Machine (SVM) and Boosted Regression Trees (BRT) Technique in Predicting PM10 Concentration. Atmosphere. 2022; 13(12):2046.
https://doi.org/10.3390/atmos13122046
Chicago/Turabian Style
Shaziayani, Wan Nur, Hasfazilah Ahmat, Tajul Rosli Razak, Aida Wati Zainan Abidin, Saiful Nizam Warris, Arnis Asmat, Norazian Mohamed Noor, and Ahmad Zia Ul-Saufie.
2022. "A Novel Hybrid Model Combining the Support Vector Machine (SVM) and Boosted Regression Trees (BRT) Technique in Predicting PM10 Concentration" Atmosphere 13, no. 12: 2046.
https://doi.org/10.3390/atmos13122046
APA Style
Shaziayani, W. N., Ahmat, H., Razak, T. R., Zainan Abidin, A. W., Warris, S. N., Asmat, A., Noor, N. M., & Ul-Saufie, A. Z.
(2022). A Novel Hybrid Model Combining the Support Vector Machine (SVM) and Boosted Regression Trees (BRT) Technique in Predicting PM10 Concentration. Atmosphere, 13(12), 2046.
https://doi.org/10.3390/atmos13122046
