Работы, цитирующие эту работу

Работ: 4

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

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   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

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

   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

   СтатьяIonic liquids properties and applicationsChemical Papers2026Цитирований: 0

   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

   СтатьяCarbon Dioxide Capture TechnologiesChemical Papers2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.004589