Many dielectric and mechanical failures in large power transformers are preceded by mechanical changes in the winding structure. These changes, or displacements in the winding structure, may be the ...

Test your observation skills with this brain teaser featuring a girl and her dog in the rain. The challenge lies in spotting a hidden error within seven seconds. This ...

Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, Connecticut 06269, United States Center for Clean Energy Engineering, University of Connecticut, Storrs, ...

As stock markets tumble in the aftermath of President Donald Trump's sweeping tariffs, Republicans in Congress were watching with unease and talking of clawing back their power to levy tariffs but ...

Our proposed method is composed of multi-scale vision Transformer (viT ... Compared to previous studies that use only a small portion of the SEN 1-2 dataset under 20,000 image pairs, our model is ...

Additionally, a Transformer block is integrated ... dependencies within the image, which are essential for robust classification in complex environments. Recent efforts (Peng and Wang, 2022; Xia et al ...

based on Vision Transformer, designed to enhance FGVC accuracy and efficiency. FOFFM addresses challenges such as information loss during image-to-token mapping and high category similarity by ...

A rule-based algorithm enabled the automatic extraction of disease labels from tens of thousands of radiology reports. These weak labels were used to create deep learning models to classify multiple ...