A study by the universities of Cordoba and Seville develops a method that makes it possible to verify, easily and quickly, ...

Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...

These fundamental findings offer a novel mechanism by which rubrerythrin tubules encapsulate encapsulin to prevent oxidative stress in Pyrococcus furiosus. However, there are a few reasonable concerns ...

To sort through them, Pratheek Rebala, a computational journalist, developed a custom image-recognition algorithm. He fed land titles and land registers the team had already identified as training ...

Compared with the five PolSAR image classification algorithms, the method proposed in this article uses lower computational complexity to obtain higher classification accuracy on the Flevoland, San ...

Abstract: This study proposes a remote monitoring platform for urban road projects based on ultra-high resolution remote sensing image classification algorithms. The platform achieves efficient ...

This project explores the use of Convolutional Neural Networks (CNNs) for image classification. It includes a complete implementation in a Jupyter notebook, along with a supporting presentation and ...

The project applies clustering and dimensionality reduction for image segmentation on a resized images (reduced to 50% size). The image data, originally in 3D RGB format, was converted to a 2D pixel ...