Работы, цитирующие эту работу

Работ: 6

Работа: Intelligent interpolation by Monte Carlo machine learning

1. 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

2. 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

3. 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

4. Estimating solubility of nitrogen in various ionic liquids: application of machine-learning

   Kassem Al Attabi, Farzona Alimova, Anupam Yadav +7

   СтатьяIonic liquids properties and applicationsChemical Papers2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.004224

5. 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

6. Estimation of lithium adsorption in brine via robust machine learning algorithms

   Farag M. A. Altalbawy, Ahmad Almalkawi, Anupam Yadav +7

   СтатьяExtraction and Separation ProcessesChemical Papers2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.007619