Работы, цитирующие эту работу

Работ: 2

Работа: Advances in kernel methods: support vector learning

1. Prediction of saturation exponent for subsurface oil and gas reservoirs using soft computing methods

   Anupam Yadav, Saeed Hameed Aldulaimi, Farag M. A. Altalbawy +9

   СтатьяReservoir Engineering and Simulation MethodsFrontiers in Earth Science2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.001949

2. Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods

   Abhinav Kumar, Paul Rodrigues, Ali Kamil Kareem +7

   СтатьяHydrocarbon exploration and reservoir analysisScientific Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.002750