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 ...
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 ...
Eagle-eyed Shein shoppers spotted an unlikely face appearing to model a product for the discount retailer: accused killer Luigi Mangione. A product listing for a men's collared shirt on Shein's ...
Abstract: Deep learning based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of ...
This project implements advanced machine learning approaches for brain tumor classification using MRI images from the PMRAM Bangladeshi Brain Cancer MRI Dataset. The project includes two comprehensive ...
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