Работы, цитирующие эту работу

Работ: 4

Работа: Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences

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. 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. 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