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Found 8 papers, 0 papers with code
Non-invasive Diver Respiration Rate Monitoring in Hyperbaric Lifeboat Environments using Short-Range Radar
Further, evidence is provided that the radar-based approach yields a more accurate measure of respiration rate than an audio signal from a headset microphone.
On Models and Approaches for Human Vital Signs Extraction from Short Range Radar Signals
The paper centres on an assessment of the modelling approaches for the processing of signals in CW and FMCW radar-based systems for the detection of vital signs.
A Novel Micro-Doppler Coherence Loss for Deep Learning Radar Applications
Deep learning techniques are subject to increasing adoption for a wide range of micro-Doppler applications, where predictions need to be made based on time-frequency signal representations.
Interference Motion Removal for Doppler Radar Vital Sign Detection Using Variational Encoder-Decoder Neural Network
A novel approach to the removal of interference through the use of a probabilistic deep learning model is presented.
Modelling of Networked Measuring Systems -- From White-Box Models to Data Based Approaches
This paradigm shift holds true in particular for the digital future of measurement in all spheres of our lives and the environment, where data provided by large and complex interconnected systems of sensors are to be analysed.
Neural Weight Step Video Compression
A variety of compression methods based on encoding images as weights of a neural network have been recently proposed.
Neural Knitworks: Patched Neural Implicit Representation Networks
Coordinate-based Multilayer Perceptron (MLP) networks, despite being capable of learning neural implicit representations, are not performant for internal image synthesis applications.
Leveraging Siamese Networks for One-Shot Intrusion Detection Model
Supervised ML is based upon learning by example, demanding significant volumes of representative instances for effective training and the need to re-train the model for every unseen cyber-attack class.
