For decades, medium-range weather forecasting—predicting conditions 1 to 5 days ahead—has relied heavily on traditional ...

Recently, automated medical image segmentation methods based on deep learning have achieved great success. However, they heavily rely on large annotated datasets, which are costly and time-consuming ...

Retrive the images in the documents - all the pages concerned are thus isolated, without losing the metadata already associated with the medium (i.e. the date, place of publication, and the title of ...

A novel deep learning–based framework that dramatically improves the accuracy of forecasts, even when data are limited. The ...

Gemini can identify objects based on their complex relationships with other objects in their vicinity. This includes ...

A team of students from the LSU Shreveport Artificial Intelligence and Machine Learning Lab won first place at the national AIM-AHEAD annual meeting for their research poster on automatic spine ...

Efficient Superpixel-based Seamline Detection for Large-scale Image Stitching A novel method for stitchig large-scale high resolution images with robust registration and efficient seamline detection.

Using advanced metasurfaces, researchers can now twist light to uncover hidden images and detect molecular handedness, ...

In this work, we developed an automatic laryngoscopic image segmentation system that leverages glottis data for vocal fold segmentation using prompt engineering techniques tailored for the Segment ...

First-photon imaging is a photon-efficient computational imaging technique that reconstructs an image by recording only the first-photon arrival event at each spatial location and then optimizing the ...