Ushbu ishga iqtibos qilgan ishlar

4 ta ish

Ish: A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide

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

   MaqolaThermochemical Biomass Conversion ProcessesBioresources and Bioprocessing20250 iqtibos

   ABIABI:AkademIndex/openalex/2025.article.001446

2. 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

   MaqolaWater Quality Monitoring and AnalysisJournal of the Indian Chemical Society20250 iqtibos

   ABIABI:AkademIndex/openalex/2025.article.016579

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

   Kassem Al Attabi, Farzona Alimova, Anupam Yadav +7

   MaqolaIonic liquids properties and applicationsChemical Papers20260 iqtibos

   ABIABI:AkademIndex/openalex/2026.article.004224

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

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

   MaqolaCarbon Dioxide Capture TechnologiesChemical Papers20260 iqtibos

   ABIABI:AkademIndex/openalex/2026.article.004589