Abstract: Using semantic segmentation networks to intelligently categorize remote sensing images (RSIs) is essential for urban planning, land use, and environmental monitoring. However, the complexity ...

The programme will be held in live sessions. This will help working professionals or aspirants who wants to enter-commerce and quick commerce complete the course without leaving the work.

This project detects hyperbolas in Ground Penetrating Radar (GPR) images using YOLOv5. It involves training on labeled radar scans to identify buried objects like pipes or artifacts. With a custom … ...

Abstract: Deep learning methods, especially convolutional neural networks (CNNs) and vision transformers (ViTs), are frequently employed to perform semantic segmentation of high-resolution remotely ...

Not all white matter hyperintensities (WMH) visible on FLAIR imaging represent pathological MS lesions. Age-related changes and CSF contamination artifacts can mimic MS lesions, leading to ...