“Accurate prediction of drill bit penetration rate in rock using supervised machine learning techniques base on laboratory test data”, Rud.-geol.-naft. zb., vol. 39, no. 1, pp. 115–130, Mar. 2024, doi: 10.17794/rgn.2024.1.10.