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Found 3 papers, 3 papers with code
Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models
We apply the trained models to three datasets: (a) YouTube Vaccine-misinformation related videos, (b) YouTube Pseudoscience videos, and (c) Fake-News dataset (a collection of articles).
Source detection via multi-label classification
Radio source detection through conventional algorithms has been unreliable when trying to solve for large number of sources in the presence of low SINR and less number of snapshots.
Physics-Informed Deep Neural Networks for Transient Electromagnetic Analysis
In this paper, we propose a deep neural network based model to predict the time evolution of field values in transient electrodynamics.
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