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Enhanced Segmentation in Abdominal CT Images: Leveraging Hybrid CNN-Transformer Architectures and Compound Loss Function
Preserving Details in Darkness: A VQ-VAE Based Approach with SSIM Loss for Low-Light Image Enhancement
Enhancing Multi-view Mammography Image Classification: By using Breast Region Extraction Method and Statistical Features
Machine Vision System for Shape and Color-based Quality Ranking of Saffron Peach Using Image Processing
THE EFFECT OF SLUB YARN PROPERTIES ON THE STRAIN DISTRIBUSION DURING TENSILE TEST USING DIGITAL IMAGE CORRELATION
Does a curved mirror honestly reflect your identity? a study of multipole images in front of a grounded sphere
An innovative strategy for the production of novel magnetite poly(vinyl alcohol) nanocomposite films with double-capped synthesized Fe3O4 nanoparticles with citric acid and vitamin C
Application of Multiple Linear Regression and Artificial Neural Network Algorithms to Predict the Total handle Value of Summer Knitted T-shirts
Optimizing Spinning Variables to Reduce the Hairiness of Rotor Yarns Produced from Waste Fibers Collected from the Ginning Process
Dr.Mohammad Ghane
Predicting the Hairiness and Coefficient of Variation of Elastic Core-spun Yarns Produced on Sirofil-Spinning System using Artificial Neural Network
Bahreini,Gholamreza
Industrial Project
Comparison of Pixel and Subpixel Methods for Mapping Rangeland Vegetation Cover (Case study: Semirom Region, Isfahan Province)
An Investigation into the Fatigue Behavior of Core-spun Yarns under Tensile Cyclic Loading