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Isfahan University of Technology
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Vahid Yousefi Mehr
Taheri,Hamed
TMA-UNet: A Parameter-Efficient Deep Learning Model for Fetal Brain MRI Segmentation
Investigating the Effects of Yarn and Fabric Parameters on the Curling of Single Jersey Weft Knitted Fabrics
TMA-UNet: A Parameter-Efficient Deep Learning Model for Fetal Brain MRI Segmentation
Analysis of the Effect of Lycra Yarn Feeding Parameters on Bagging Behavior of Weft Knitted Fabrics
Statistical study of squeezing for soft rocks based on factor and regression analyses of effective parameters
An analytical model for estimating rock strength parameters from small scale drilling data
The water relation parameters are associated with the genotypic differences in the vase life of cut rose flowers
Parameter Tuning of EV Drivers' Charging Behavioral Model using Machine Learning Techniques
Parameter Tuning of EV Drivers' Charging Behavioral Model using Machine Learning Techniques
Analytical studies on woven fabrics bagging performance affected by the material yarn and fabric parameters
Effect of interaction between salinity and nanoparticles (Fe2O3 and ZnO) on physiological parameters of Zea mays L.
Biodegradable performance of PLA stents affected by geometrical parameters: The risk of fracture and fragment separation
Biodegradable performance of PLA stents affected by geometrical parameters: The risk of fracture and fragment separation
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