Работы, цитирующие эту работу

Работ: 5

Работа: An artificial intelligence study on energy, exergy, and environmental aspects of upcycling face mask waste to a hydrogen-rich syngas through a thermal conversion process

1. Heat energy utilization of a double-flash geothermal source efficiently for heating/electricity supply through particle swarm optimization method

   Fengmin Cheng, Azher M. Abed, Pradeep Kumar Singh +7

   СтатьяIntegrated Energy Systems OptimizationCase Studies in Thermal Engineering2024Цитирований: 3

   ABIABI:AkademIndex/openalex/2026.other.099446

2. Metaheuristic optimizing energy recovery from plastic waste in a gasification-based system for waste conversion and management

   Cao Yan, Azher M. Abed, Pradeep Kumar Singh +6

   СтатьяRecycling and Waste Management TechniquesEnergy2024Цитирований: 2

   ABIABI:AkademIndex/openalex/2026.other.128484

3. Artificial intelligence-powered study of a waste-to-energy system through optimization by regression-centered machine learning algorithms

   Gongxing Yan, Xiaoqiang Yang, Mohamed Shaban +7

   СтатьяRecycling and Waste Management TechniquesEnergy2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2025.article.000198

4. Artificial intelligence application for assessment/optimization of a cost-efficient energy system: Double-flash geothermal scheme tailored combined heat/power plant

   Xuetao Li, Azher M. Abed, Mohamed Shaban +7

   СтатьяIntegrated Energy Systems OptimizationEnergy2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000893

5. Optimization of Ex/energy efficiencies in an integrated compressed air energy storage system (CAES) using machine learning algorithms: A multi-objective approach based on analysis of variance

   Amr S. Abouzied, Naeim Farouk, Mohamed Shaban +7

   СтатьяEnergy Load and Power ForecastingEnergy2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000866