Работы, цитирующие эту работу

Работ: 2

Работа: Machine learning-based energy optimization for on-site SMR hydrogen production

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