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Isfahan University of Technology
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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
Improving prediction accuracy of CSM-CERES-Wheat model for water and nitrogen response using a modified Penman-Monteith equation in a semi-arid region
Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models
Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models
Trace analysis of basic drugs in micro-volume human plasma samples using a simple device combined with a gas chromatography-flame ionization detector
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
Students
Biography 37
R. Shahsavari
Publications
Mehran Zamanifar
Work experiences & Patents
Farm management and economic factors associated with bulk tank total bacterial count in Holstein dairy herds in Iran
2019, Farnaz Meshkinfar Graduated
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