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Wang J, Mohammed AS, Macioszek E, Ali M, Ulrikh DV, Fang Q. A Novel Combination of PCA and Machine Learning Techniques to Select the Most Important Factors for Predicting Tunnel Construction Performance. Buildings. 2022; 12(7):919. https://doi.org/10.3390/buildings12070919

Wang, Jiangfeng, Ahmed Salih Mohammed, Elżbieta Macioszek, Mujahid Ali, Dmitrii Vladimirovich Ulrikh, and Qiancheng Fang. 2022. "A Novel Combination of PCA and Machine Learning Techniques to Select the Most Important Factors for Predicting Tunnel Construction Performance" Buildings 12, no. 7: 919. https://doi.org/10.3390/buildings12070919

Wang, J., Mohammed, A. S., Macioszek, E., Ali, M., Ulrikh, D. V., & Fang, Q. (2022). A Novel Combination of PCA and Machine Learning Techniques to Select the Most Important Factors for Predicting Tunnel Construction Performance. Buildings, 12(7), 919. https://doi.org/10.3390/buildings12070919