Работы, цитирующие эту работу

Работ: 4

Работа: Multiple predicting <i>K</i> -fold cross-validation for model selection

1. Predictive modeling of oil rate for wells under gas lift using machine learning

   Fang Ma, Farag M. A. Altalbawy, Pinank Patel +9

   СтатьяReservoir Engineering and Simulation MethodsScientific Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000733

2. Reliable estimation via hybrid gradient boosting machine for mud loss volume in drilling operations

   Xiaozhi Lu, Farag M. A. Altalbawy, Tarak Vora +9

   СтатьяDrilling and Well EngineeringScientific Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.002187

3. Application of hybrid gradient boosting machine to reliably predict rate of penetration

   Jianing Zhang, Farag M. A. Altalbawy, Tarak Vora +10

   СтатьяHigh-Velocity Impact and Material BehaviorPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.008755

4. A robust machine learning framework for predicting CO2 solubility in polyethylene glycol using advanced optimization strategies

   Fadhel F. Sead, Dharmesh Sur, Anupam Yadav +7

   СтатьяPhase Equilibria and ThermodynamicsChinese Journal of Analytical Chemistry2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.010719