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Found 4 papers, 1 papers with code
Universal Fourier Attack for Time Series
A wide variety of adversarial attacks have been proposed and explored using image and audio data.
Deep Learning for Spectral Filling in Radio Frequency Applications
Due to the Internet of Things (IoT) proliferation, Radio Frequency (RF) channels are increasingly congested with new kinds of devices, which carry unique and diverse communication needs.
Digital Signal Processing Using Deep Neural Networks
Currently there is great interest in the utility of deep neural networks (DNNs) for the physical layer of radio frequency (RF) communications.
Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations
Determining the aqueous solubility of molecules is a vital step in many pharmaceutical, environmental, and energy storage applications.
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