In this digitized world, data has become an integral part in any domain, including healthcare.
The healthcare industry produces a huge amount of digital data, by utilizing information from …

In this study, we investigated the impact of the lighting environment on psychological
perception, physiology, and productivity and then designed lighting control strategies based …

Automated ECG‐based arrhythmia detection is critical for early cardiac disease prevention
and diagnosis. Recently, deep learning algorithms have been widely applied for arrhythmia …

Although the correlation between a glucose concentration and its permittivity is somewhat
weak to be measured, the glucose concentration is a strong function of the dispersion. In …

Loneliness and social isolation are subjective measures associated with the feeling of
discomfort and distress. Various factors associated with the feeling of loneliness or social …

The rapid advancements in computer vision technology present significant potential for the
automatic recognition of learner engagement in E-learning. We conducted a two-stage …

Diabetes Mellitus (DM) is a group of metabolic disorders characterized by hyperglycaemia in
the absence of treatment. Classification of DM is essential as it corresponds to the respective …

Integrating artificial intelligence (AI) into the healthcare sector holds immense potential for
transforming the industry, promising notable improvements in diagnostic precision, treatment …

The determination of characteristic points of bioimpedance curves is crucial to the analysis
of bioimpedance signals. Traditional methods need to calculate the derivative of the …

Surrounding rock pressure prediction for fully mechanized coal face (FMCF) roof
management and control is of great significance. The key challenge is to effectively combine …