A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
The paper of this simulator can be found here: https://arxiv.org/abs/2511.09022. This is the upgraded version of my previous work RadHARSimulator V1: https://github ...
Abstract: The appropriate location of reinforced structures is critical for building stability. However, due to the shortage of well-trained labor and lack of management and supervision, poor ...
Abstract: A fall-detection system was implemented utilizing a 2.45 GHz continuous wave radar along with power-efficient and fully-analog integrated classifier architectures. The Power Burst Curve and ...
Millimeter-wave Frequency-Modulated Continuous-Wave (FMCW) radar works by emitting and detecting radio frequency (RF) electromagnetic waves. Due to its unique properties, this technology offers ...
This is a novel python implementation of the variable Q-transform that was developed due to the need for a more accurate and flexible VQT for use in research. It is battle-tested and has been used in ...
What Is RADAR? Radio Detection and Ranging is a system or device that uses electromagnetic radio waves to determine the range, velocity, and angle of the objects in the surrounding area. This system ...
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