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Innovative coupled fluid-structure interaction model for carbon nano-tubes conveying fluid by considering the size effects of nano-flow and nano-structure
Innovative coupled fluid-structure interaction model for carbon nano-tubes conveying fluid by considering the size effects of nano-flow and nano-structure
RUNOFF MODELING IN ORDER TO INVESTIGATE THE MOST EFFECTIVE FACTORS IN FLOOD EVENTS USING SYSTEM DYNAMIC APPROACH (CASE STUDY TEHRAN WATERSHED IRAN)
Investigating Effective Connectivity within the Default Mode Network in Autism Spectrum Disorder: Insights from Dynamic Causal Modeling of Resting-State fMRI
Investigating Effective Connectivity within the Default Mode Network in Autism Spectrum Disorder: Insights from Dynamic Causal Modeling of Resting-State fMRI
Evaluating Consumers' Shopping and Delivery Preference by Developing a Disaggregated E-Commerce Demand Model Using Extended Multiple Discrete Continuous Extreme Values Framework
A double sampling multivariate GLR control charting method for joint monitoring of process mean vector and covariance matrix under additive covariate model
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