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Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models
Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models
Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models
Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models
Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models
Soil erosion estimating and hazard mapping using SWAT and RUSLE models in a semiarid-arid region, Zayandeh-Rood Dam Watershed, Central Iran
Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models
Improving prediction accuracy of CSM-CERES-Wheat model for water and nitrogen response using a modified Penman-Monteith equation in a semi-arid region
Fabrication of Au-doped mesoporous TiO2 supported on g-C3N4 as an efficient light-assisted catalyst for oxidative desulfurization of model fuels with different sulfur content
A novel optimized fuzzy approach based on monte carlo method for system load, wind turbine and photovoltaic unit uncertainty modeling in unit commitment
Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models
مقالات
Multiple Criteria Decision Making (MCDM)_3-93-1
Black TiO<sub>2</sub>-g-C<sub>3</sub>N<sub>4</sub> heterojunction coupled with MOF (ZIF-67)-derived Co<sub>3</sub>S<sub>4</sub>/ Nitrogen-doped carbon hollow nano-box
Dr.Sareh Goli