A new technical paper titled “Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing” was ...

Traditional models like KNN and SVM were not immune either. Their non-differentiable structures made them incompatible with ...

The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

Para swimming classification ensures fair competition by grouping athletes based on how their impairments affect swimming. ... ⒸGetty Images. Sport Classes S/SB11-13 - vision impairment Athletes with ...

OCT is a noninvasive interferometric technique that provides cross sectional images and thickness measurements of the RNFL (RNFLT) ... choice of input and classifier architecture.

Removal of noise is an important criterion of image processing to improve the quality of an image. There are many unwanted elements present in image which are commonly known as noise that should be ...

This paper proposes a novel approach for image watermarking using combined dynamic stochastic resonance (DSR) and support vector machine (SVM). The algorithm incorporates lifting wavelet transform ...

image-classification-framework/ ├── model/ # Contains ResNet34 and ResNet50 architecture definitions ├── train_img/ # Placeholder for training images (organized by class folders) │ ├── Class 1 │ ├── ...

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