Abstract: With the rapid development of the Internet of Medical Things (IoMT) and deep learning technology, automatic electrocardiogram (ECG) signal classification has become increasingly important ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Picture this. December 21, 2019, a regular night shift at the telescope array. On December 21, 2019, CHIME picked up a signal that immediately drew attention: a signal that was not only very long, ...
Abstract: Reliable drone video signal processing depends on precise identification of modulation type to ensure effective demodulation. Automatic modulation classification (AMC) plays a key role in ...
Introduction: Physiological signals offer a significant advantage in the field of emotion recognition due to their objective nature, as they are less susceptible to volitional control and thus provide ...