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 ...
@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, ...
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