Работы, цитирующие эту работу

Работ: 4

Работа: FSRF:An Improved Random Forest for Classification

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. Development of robust machine learning models to estimate hydrochar higher heating value and yield based upon biomass proximate analysis

   Guoliang Hou, Ahmed Alkhayyat, Ahmad Almalkawi +8

   СтатьяThermochemical Biomass Conversion ProcessesBioresources and Bioprocessing2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001446

3. 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

4. Developing rigorous machine learning models to accurately estimate pesticide photodegradation by ZnO-based photocatalysts in water

   Farag M. A. Altalbawy, Shoira Formanova, Ahmad Almalkawi +7

   СтатьяWater Quality Monitoring and AnalysisJournal of the Indian Chemical Society2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.016579