Asosiy kontentga oʻtish
AkademScholar

Mahsulotlar

Ishlab chiquvchilar uchun

AkademBasetez oradaDasturchilar API
Mualliflar

Sarminah Samad

Soʻnggi maʼlum muassasa:
Princess Nourah bint Abdulrahman University
ORCID:
0000-0001-5965-7726
4
h-indeks
0
i10-indeksi
36
Iqtiboslar
17
Asarlar
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Eng koʻp iqtibos qilingan asarlar

  1. Optimizing novel thermal energy storage systems: Enhancing melting efficiency with tubes, stands, and advanced machine learning techniques20255 iqtibos
  2. Waste heat recovery cycles integration into a net-Zero emission solar-thermal multi-generation system; Techno-economic analysis and ANN-MOPSO optimization20245 iqtibos
  3. 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 iqtibos
  4. Efficient thermal integration model based on a biogas-fired gas turbine cycle (GTC) for electricity and desalination applications; thermo-economic and GA-based optimization20244 iqtibos
  5. 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 iqtibos
  6. 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 iqtibos
  7. A multi-heat recovery approach integrated with LNG regasification in a geothermal-driven multigeneration system: Techno-economic insights and machine learning-based optimization20252 iqtibos
  8. 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 iqtibos
  9. Techno-economic feasibility analysis and data-driven optimization of a novel hybrid renewable energy system for efficient multigeneration and hydrogen liquefaction: a case study20251 iqtibos
  10. Improving energy absorption capacity in a thermal energy storage system for domestic heating applications using an integrated machine learning/numerical approach20251 iqtibos