Science Is Drowning in AI Slop

Now they’re being clogged with AI slop. Scientific publishing has always had its plumbing problems. Even before ChatGPT, ...
Frontiers

Study on segmentation of fine cracks with water seepage on hybrid towers of wind turbines

To address the engineering challenge of detecting fine cracks on hybrid wind turbine towers, especially against complex water seepage backgrounds, this study aims to explore optimal image segmentation ...
GitHub

watershed-algorithm

An app for segmentation and classification of images of cells from optical microscope. This project uses marker controlled watershed (openCv), and pretrained ResNet-50 model (tensorflow) ...
Frontiers

Performance of segmentation (watershed and meanshift) and image transformation (MNF-laplacian filter) methods for extracting complex coastlines from Pleiades images: the case ...

With the ongoing surge in global coastal development, understanding shoreline dynamics has become a critical issue, given the inherent vulnerability of coastal fringes to significant mobility.
Scientific Research Publishing

Water Resources Modeling in Data-Scarce Watersheds: Contribution of the SWAT Model and the SUFI2 Algorithm to the Study of the Thiokoye River Basin ()

Laboratory of Hydrology and Morphology, Department of Geography, Faculty of Letters and Human Sciences, Cheikh Anta Diop University of Dakar, Dakar, Senegal. The advantage of SUFI-2 lies in its ...
IEEE

Watershed Segmentation Algorithm Based on Morphological Gradient Reconstruction

Abstract: In order to overcome the problem of over-segmentation, a novel algorithm of watershed segmentation based on morphological gradient reconstructing is proposed in this paper. In the algorithm, ...