ABSTRACT: In today’s data-driven business environment, small and medium-sized enterprises (SMEs) struggle to implement effective knowledge management (KM) due to limited financial, technical, and ...

Abstract: Toxic comment classification presents a significant challenge in the current era, characterized by widespread internet access and the potential for misuse of free speech, frequently ...

Introduction: Coronary heart disease (CHD) remains a leading global health burden. Cine cardiovascular magnetic resonance (CMR), the gold standard for evaluating left ventricular (LV) structure and ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Accurate gait-phase identification in children with Cerebral Palsy (CP) constitutes a pivotal prerequisite for evidence-based rehabilitation. Addressing the precise detection of gait disturbances ...

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EEG samples are converted into spike trains using NeuCube. The spatio-temporal spiking patterns are encoded across a 3D SNN reservoir. The resulting spike outputs are stored in out_neucube_open.h5.

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