9 citations · 19 across the 15 of their papers we have counts for
6 papers
A Meta-learning based Generalizable Indoor Localization Model using Channel State Information
Ali Owfi, ChunChih Lin, Linke Guo +3
Indoor localization has gained significant attention in recent years due to its various applications in smart homes, industrial automation, and healthcare, especially since more pe…
ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning
Seokmin Choi, Sajad Mousavi, Phillip Si +3
In the medical field, current ECG signal analysis approaches rely on supervised deep neural networks trained for specific tasks that require substantial amounts of labeled data. Ho…
Autoencoder-based Radio Frequency Interference Mitigation For SMAP Passive Radiometer
Ali Owfi, Fatemeh Afghah
Passive space-borne radiometers operating in the 1400-1427 MHz protected frequency band face radio frequency interference (RFI) from terrestrial sources. With the growth of wireles…
Synthetic ECG Signal Generation using Probabilistic Diffusion Models
Edmond Adib, Amanda Fernandez, Fatemeh Afghah +1
Deep learning image processing models have had remarkable success in recent years in generating high quality images. Particularly, the Improved Denoising Diffusion Probabilistic Mo…
Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios
Hossein Rajoli, Fatemeh Lotfi, Adham Atyabi +1
Facial expressions convey massive information and play a crucial role in emotional expression. Deep neural network (DNN) accompanied by deep metric learning (DML) techniques boost…
Survey of Inter-satellite Communication for Small Satellite Systems: Physical Layer to Network Layer View
Radhika Radhakrishnan, William Edmonson, Fatemeh Afghah +3
Small satellite systems enable whole new class of missions for navigation, communications, remote sensing and scientific research for both civilian and military purposes. As indivi…