Работы, цитирующие эту работу

Работ: 3

Работа: Prediction of geological characteristics from shield operational parameters by integrating grid search and K-fold cross validation into stacking classification algorithm

1. Carbon dioxide solubility in polyethylene glycol polymer: an accurate intelligent estimation framework

   Fadhel F. Sead, Dharmesh Sur, Anupam Yadav +7

   СтатьяPolymer Foaming and CompositesScientific Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001980

2. Prediction of H ₂ S adsorption capacity of biochar using rigorous machine learning frameworks

   Kassem Al Attabi, Farag M. A. Altalbawy, Anupam Yadav +5

   СтатьяIndustrial Gas Emission ControlJournal of Environmental Science and Health Part A2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.017816

3. Data-driven prediction of CIMS signal intensity for pesticide detection via dibromomethane reagent using machine learning techniques

   Chaoqun Wen, Shaxnoza Saydaxmetova, Suranjana V. Mayani‎ +9

   СтатьяPesticide Residue Analysis and SafetyEuropean Journal of Mass Spectrometry2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.004225