Abstract: Unsupervised machine learning algorithms, such as clustering and anomaly detection, work by identifying patterns and anomalies in data without the need for labeled training data. These ...
Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), ...
Abstract: Due to the continuous increase of smart home culture worldwide, large volumes of energy consumption data gained the attention of data scientists. Smart meters capture the energy consumption ...
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