Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...

Support Vector Machine (SVM) is a popular supervised Machine Learning (ML) method that is widely used for classification and regression problems. Recently, a method to train SVMs on a D-Wave 2000Q ...

A deep learning classifier built with PyTorch and MONAI to detect Popcorn Lung (Bronchiolitis Obliterans) from chest X-ray images. This binary classifier uses a fine-tuned ResNet18 model includes full ...

Multilabel remote sensing image classification can provide comprehensive object-level semantic descriptions of remote sensing images. However, most existing methods cannot fully mine the fine-grained ...