… by setting the threshold of the received signal strength of radio beacons. Therfore, we select
to use a deep learning to automatically extract characteristic patterns from time series data …

… Radio frequency (RF) sensing combined with deep learning approaches promised a …
database in a drone detection and identification system designed using deep neural networks. This …

… a new drone detection solution based on the Radio Frequency (RF) emitted during the
live communication session between the drone and its controller using a Deep Learning (DL) …

… revival of machine learning, NNs which is the backbone of deep learning algorithms has …
learning. An exhaustive introduction to machine learning and deep learning can be found in [8]. …

… In this article, a novel framework of signal intelligent classification is proposed based on
deep learning networks in ICRNs. In the proposed framework, wireless signals will be …

… Taking advantage of the recent developments in deep learning methods, we … detection
data acquired by RFID antennas using CNN. We illustrate how deep learning methods detect …

… In this study, we present an unsupervised RFI localization method using deep learning. By
… 1) Detect large-scale anomalies in Sentinel-1 IW quick-look images using deep learning. 2) …

… In this work, we propose novel use of unsupervised deep learning to diagnose system
health for modern radio telescopes. The model is a convolutional variational autoencoder (VAE) …

… a self-organizing cellular radio access network system enhanced with deep learning. SORA
… and root cause analysis components with deep learning methods and evaluate the system …

… -stage machine learning-based intrusion detection (ML-IDS) in 5G C-RAN that can detect
and … on supervised and deep learning for the detection and classification of jamming attacks. …