Welcome to Learn with Jay – your go-to channel for mastering new skills and boosting your knowledge! Whether it’s personal development, professional growth, or practical tips, Jay’s got you ...

In the field of disease diagnosis where only a small dataset of medical images may be accessible, the light-weight convolutional neural network (CNN) has become popular because it can help to avoid ...

FIGURE 1. This diagram shows the overall process of generating data, splitting data into training and test sets, calculating the p-value for each SNP, and generating sub-datasets based on p-value ...

The dataset has different degrees of noise interference. (2) A fine-grained image classification algorithm for a small collar dataset, called ECA MCloss ResNet-50 (EMRes-50), is proposed. experiments ...

To improve Asian food image classification accuracy, a method that combined Convolutional Block Attention Module (CBAM) with the Mobile NetV2, VGG16, and ResNet50 was proposed for Asian food image ...