A toolbox for biosignal processing written in Python. The toolbox bundles together various signal processing and pattern recognition methods geared towards the analysis of biosignals. The code below ...
In the pre-large language model (LLM) Stack Overflow era, the challenge was discerning which code snippets to adopt and adapt effectively. Now, while generating code has become trivially easy, the ...
Manhole cover defect recognition is of significant practical importance as it can accurately identify damaged or missing covers, enabling timely replacement and maintenance. Traditional manhole cover ...
Pattern recognition of hematological profiles of tumors of the digestive tract: an exploratory study
In this study, we aimed to apply laboratory blood analysis to identify the hematological (based on hemoglobin concentration, erythrocytes, hematocrit, and RDW count) profiles associated with the most ...
Intracranial stereoelectroencephalography (SEEG) is broadly used in the presurgical evaluation of intractable epilepsy, due to its high temporal resolution in neural activity recording and high ...
pyVSR is a Python toolkit aimed at running Visual Speech Recognition (VSR) experiments in a traditional framework (e.g. handcrafted visual features, Hidden Markov Models for pattern recognition). The ...
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