Работы, цитирующие эту работу

Работ: 4

Работа: Prediction of the internal corrosion rate for oil and gas pipeline: Implementation of ensemble learning techniques

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. Predicting filter cake thickness in drilling fluids using machine learning techniques

   Minghui OU, Mohammed Al-Bahra, Raman Kumar +10

   СтатьяDrilling and Well EngineeringPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.008047

3. Machine learning approaches for estimating formation enthalpies in energetic materials

   Jianfeng Li, Farag M. A. Altalbawy, Hardik Doshi +8

   СтатьяMachine Learning in Materials ScienceJournal of Energetic Materials2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.016168

4. Predicting the Storage Modulus of Chromium‐Crosslinked Polymer Gels Through Advanced Machine Learning Techniques

   Farag M. A. Altalbawy, Raed H. C. Alfilh, Tarak Vora +8

   СтатьяMachine Learning in Materials SciencePolymers for Advanced Technologies2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.002922