ABSTRACT: Acute Lymphoblastic Leukemia (ALL), a highly aggressive subtype of blood cancer, demands early and accurate diagnosis to improve patient outcomes. Traditional diagnostic methods relying on ...
This project implements an end-to-end deep learning pipeline for automated heartbeat classification using the MIT-BIH Arrhythmia Dataset. The system performs ECG signal preprocessing, heartbeat ...
Ultra-wide band (UWB) positioning technology has attracted increasing attention due to its high ranging accuracy. However, in indoor environments, non-line-of-sight (NLOS) signals significantly ...
Psychiatry stands at a pivotal turning point shaped by rapid technological advances and pressing clinical demands (1). Mental health disorders, defined by multifaceted etiologies and heterogeneous ...
For neural prosthetic devices, accurate classification of high dimensional electroencephalography (EEG) signals is significantly impaired by the existence of redundant and irrelevant features that ...
Few-shot acoustic signal classification remains a challenging problem due to the high diversity and variability of acoustic data and limited availability of labeled samples. While pretrained audio ...
Abstract: Signal classification plays a pivotal role in modern digital communications by ensuring efficient and secure data transmission across critical tasks, such as automatic modulation ...
The mysterious “Wow!” signal from deep space, caused by a yet unknown astronomical event, was much stronger than previously thought, a new study suggests. “Wow!” is the name given to the enigmatic and ...
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