Sarminah Samad
- Сўнгги маълум муассаса:
- Princess Nourah bint Abdulrahman University
- ORCID:
- 0000-0001-5965-7726
4
h-индекс
0
i10-индекси
36
Иқтибослар
17
Асарлар
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Энг кўп иқтибос қилинган асарлар
- Optimizing novel thermal energy storage systems: Enhancing melting efficiency with tubes, stands, and advanced machine learning techniques20255 иқтибос
- Waste heat recovery cycles integration into a net-Zero emission solar-thermal multi-generation system; Techno-economic analysis and ANN-MOPSO optimization20245 иқтибос
- Multi-objective optimization of a biogas-fueled multigeneration system with a supercritical CO2-based power and multi-level cooling cycle: A hybrid ANN-MOPSO approach20254 иқтибос
- Efficient thermal integration model based on a biogas-fired gas turbine cycle (GTC) for electricity and desalination applications; thermo-economic and GA-based optimization20244 иқтибос
- Multi-thermal recovery layout for a sustainable power and cooling production by biomass-based multi-generation system: Techno-economic-environmental analysis and ANN-GA optimization20243 иқтибос
- Optimization and prediction of heat absorption in a modular multi-section latent heat storage system with dome-shaped components using a multilayer perceptron model, TOPSIS analysis, and Pareto fronts20253 иқтибос
- A multi-heat recovery approach integrated with LNG regasification in a geothermal-driven multigeneration system: Techno-economic insights and machine learning-based optimization20252 иқтибос
- A geothermal multigeneration system integrating an ORC configuration with an open-feed heater for electricity/H2/cooling production: Techno-economic optimization using a genetic algorithm20252 иқтибос
- Techno-economic feasibility analysis and data-driven optimization of a novel hybrid renewable energy system for efficient multigeneration and hydrogen liquefaction: a case study20251 иқтибос
- Improving energy absorption capacity in a thermal energy storage system for domestic heating applications using an integrated machine learning/numerical approach20251 иқтибос