1 code implementation • 22 Jul 2023 • Christos Christodoulou, Nikos Salamanos, Pantelitsa Leonidou, Michail Papadakis, Michael Sirivianos
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).
1 code implementation • 27 Sep 2022 • Jayakrishnan Vijayamohanan, Arjun Gupta, Oameed Noakoasteen, Sotirios Goudos, Christos Christodoulou
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.
1 code implementation • IEEE Open Journal of Antennas and Propagation 2020 • Oameed Noakoasteen, Shu Wang, Zhen Peng, Christos Christodoulou
In this paper, we propose a deep neural network based model to predict the time evolution of field values in transient electrodynamics.