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Crude Turmeric Extract Improves the Suppressive Effects of Lactobacillus rhamnosus GG on Allergic Inflammation in a Murine Model of House Dust Mite-Induced Asthma
Dynamic-Pix2Pix: Medical image segmentation by injecting noise to cGAN for modeling input and target domain joint distributions with limited training data
Dynamic-Pix2Pix: Medical image segmentation by injecting noise to cGAN for modeling input and target domain joint distributions with limited training data
Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis
Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis
Experimental characterization, machine learning analysis and computational modelling of the high effective inhibition of copper corrosion by 5?(4-pyridyl)-1,3,4?oxadiazole-2-thiol in saline environment
An integrated model of network Data Envelopment Analysis and principal component analysis approach to calculate the efficiency of industrial units (A Case study of the Stone Industry)
An integrated model of network Data Envelopment Analysis and principal component analysis approach to calculate the efficiency of industrial units (A Case study of the Stone Industry)
Using Statistical Models to Estimate Economic Optimum Nitrogen Fertilizer Rate for Wheat, Safflower, and Canola before and after Fertilizer Subsidy Programs in Iran
A novel photocatalytic and photoelectrocatalytic system for oxidative desulfurization of model fuel using BiVO4@HKUST-1 composite in powder and deposited on fluorine-doped tin oxide
A novel photocatalytic and photoelectrocatalytic system for oxidative desulfurization of model fuel using BiVO4@HKUST-1 composite in powder and deposited on fluorine-doped tin oxide
A new efficient feature-combination-based method for dynamic texture modeling and classification using semi-random starting parameter dynamic Bayesian networks
A new efficient feature-combination-based method for dynamic texture modeling and classification using semi-random starting parameter dynamic Bayesian networks
Modelling the impact of climate change on rangeland forage production using a generalized regression neural network a case study in Isfahan Province Central Iran
Modelling the impact of climate change on rangeland forage production using a generalized regression neural network a case study in Isfahan Province Central Iran