Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

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Abstract: Constrained by the limitations of remote sensing data in terms of temporal resolution, spatial resolution, and time series availability, there is currently a lack of effective long-term, ...

This demo comes in with a docker image that can be run with: ...

A recent article published in the Alexandria Engineering Journal presents a new, non-contact way to detect underwater concrete cracks using a combination of monocular vision and fractal science. This ...

ABSTRACT: With the rise of image data and increased complexity of tasks in edge detection, conventional artificial intelligence techniques have been severely impacted. To be able to solve even greater ...