Работы, цитирующие эту работу

Работ: 2

Работа: Machine learning application for predicting key properties of activated carbon produced from lignocellulosic biomass waste with chemical activation

1. Integrated machine learning and genetic algorithm framework for optimizing methylcyclohexane dehydrogenation in liquid organic hydrogen carrier systems

   Zihao Xie, Abdul Saboor, Francis Kwarteng +7

   СтатьяHybrid Renewable Energy SystemsInternational Journal of Hydrogen Energy2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000828

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