APA (7th ed.) Citation

Kurniawan, C., Azis, M. M., & Ariyanto, T. (2023). Supervised Machine Learning and Multiple Regression Approaches to Predict the Successfulness of Matrix Acidizing in Hydraulic Fractured Sandstone Formation. ASEAN Journal of Chemical Engineering, 23(1), 113. https://doi.org/10.22146/ajche.78255

Chicago Style (17th ed.) Citation

Kurniawan, Candra, Muhammad Mufti Azis, and Teguh Ariyanto. "Supervised Machine Learning and Multiple Regression Approaches to Predict the Successfulness of Matrix Acidizing in Hydraulic Fractured Sandstone Formation." ASEAN Journal of Chemical Engineering 23, no. 1 (2023): 113. https://doi.org/10.22146/ajche.78255.

MLA (9th ed.) Citation

Kurniawan, Candra, et al. "Supervised Machine Learning and Multiple Regression Approaches to Predict the Successfulness of Matrix Acidizing in Hydraulic Fractured Sandstone Formation." ASEAN Journal of Chemical Engineering, vol. 23, no. 1, 2023, p. 113, https://doi.org/10.22146/ajche.78255.