In this work, images based corrosion detection is performed using Deep-learning UNET-8layer architecture. More than 400 images of corrosion data with their binary ground truth labels are trained to ...

I employed KERAS' pretrained MobileNet CNN and fine-tuned it for our particular flood detection ... images were collected by authors of the paper named "Detecting floodwater on roadways from image ...

Image-Decomposition-Enhanced Deep Learning for Detection of Rotor Cores in Cardiac ... is then fed into a You-Only-Look-Once (YOLO) image-recognition architecture for heart disease detection. A novel ...

The combination of increasing global smartphone penetration and recent advances in computer vision made possible by deep learning has paved ... convolutional neural network architecture is a practical ...

This proposed architecture identifies the brain image into either Glioma or healthy ... of the study with highlight the advantages of utilizing deep learning algorithms for brain tumor detection, ...

Above: Image classification vs. object detection vs. semantic segmentation (credit: codebasics). The complexity of convolutional neural networks (CNN), the deep learning architecture commonly ...

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found ... includes 2,624 electroluminescence (EL) images of PV cells. Scientists from Saudi ...

In this work, images based corrosion detection is performed using Deep-learning UNET-8layer architecture. More than 400 images of corrosion data with their binary ground truth labels are trained to ...