Работы, цитирующие эту работу

Работ: 6

Работа: Convolutional neural networks

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. Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones

   Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora +10

   СтатьяHydraulic Fracturing and Reservoir AnalysisJournal of Petroleum Exploration and Production Technology2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001802

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

5. New insights into residue formation due to oxidation of crude oil via data-driven methods

   Mohammad Abushuhel, Ibrahim Khersan, Tariq Abdulkader Alrihaim +7

   СтатьяPetroleum Processing and AnalysisGeosystem Engineering2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.017440

6. Machine learning frameworks to accurately compute CO2 capture in porous liquids

   Farag M. A. Altalbawy, Soumya V. Menon, Anupam Yadav +7

   СтатьяCarbon Dioxide Capture TechnologiesChemical Papers2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.004589