Работы, цитирующие эту работу

Работ: 2

Работа: Applied Machine Learning for Prediction of CO₂ Adsorption on Biomass Waste-Derived Porous Carbons

1. Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning

   Loke Kok Foong, Vojtěch Blažek, Lukáš Prokop +3

   СтатьяAir Quality Monitoring and ForecastingEngineering Applications of Computational Fluid Mechanics2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000820

2. Feature Engineering Enhanced Machine Learning Prediction of Pore Properties in Lignin-Derived Nanoporous Carbon for High-Performance Supercapacitor Applications

   Zihao Xie, Samir I. Gadow, Kakhramon Fayzullaev +3

   СтатьяSupercapacitor Materials and FabricationACS Applied Nano Materials2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001672