2 citations · 6 across the 4 of their papers we have counts for
4 papers
Neural Network-based OFDM Receiver for Resource Constrained IoT Devices
Nasim Soltani, Hai Cheng, Mauro Belgiovine +10
Orthogonal Frequency Division Multiplexing (OFDM)-based waveforms are used for communication links in many current and emerging Internet of Things (IoT) applications, including the…
PRRS Outbreak Prediction via Deep Switching Auto-Regressive Factorization Modeling
Mohammadsadegh Shamsabardeh, Bahar Azari, Beatriz Martínez-López
We propose an epidemic analysis framework for the outbreak prediction in the livestock industry, focusing on the study of the most costly and viral infectious disease in the swine…
Circular-Symmetric Correlation Layer based on FFT
Bahar Azari, Deniz Erdogmus
Despite the vast success of standard planar convolutional neural networks, they are not the most efficient choice for analyzing signals that lie on an arbitrarily curved manifold,…
Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting
Amirreza Farnoosh, Bahar Azari, Sarah Ostadabbas
We introduce deep switching auto-regressive factorization (DSARF), a deep generative model for spatio-temporal data with the capability to unravel recurring patterns in the data an…