Abstract: With the swift advancement of deep learning, significant strides have been made in polarimetric synthetic aperture radar (PolSAR) image classification, particularly with the advent of ...

Abstract: Remote sensing image classification plays a crucial role in scene understanding task interpretation. Currently, remote sensing image classification is constrained by the complexity, ...

Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...

The goal of this task is to segment retail store customers based on their purchase history using K-Means clustering. This helps the business understand buying patterns and tailor marketing strategies ...

Snapchat is launching a new Lens that lets users create and edit images using a text-to-image AI generator, the company told TechCrunch exclusively. The new “Imagine Lens” is available to Snapchat+ ...

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any product change involves significant man-hours. Even then, it still misses a lot ...

The company has since taken down the image of the accused killer. Fast fashion giant Shein is conducting an investigation of its internal processes after using the likeness of Luigi Mangione to model ...