Abstract: Managing attendance in educational institutions is often a time-consuming and error-prone task, with traditional methods like roll calls or sign-in sheets being inefficient and susceptible ...
This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...
We propose a new method for cancer subtype classification from histopathological images, which can automatically detect tumor-specific features in a given whole slide image (WSI). The cancer subtype ...
Our lives are significantly impacted by social media platforms such as Facebook, Twitter, Instagram, LinkedIn, and others. People are actively participating in it the world over. However, it also has ...
We downloaded 40,761 research-grade observations of A. petiolata from iNaturalist, ranging from 1995 to 2020. Observations on the iNaturalist platform are considered “research-grade if the observation ...
@article{kamangir2021fognet, title={FogNet: A multiscale 3D CNN with double-branch dense block and attention mechanism for fog prediction}, author={Kamangir, Hamid and Collins, Waylon and Tissot, ...
The dataset includes a mixture of metabolite/ion/cofactor/amino-acid/nucleotide/vitamin/signaling-molecule aptamer ligands. ‘Class no.’ corresponds to the ...
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