This study aimed to investigate the application of label propagation techniques to propagate
labels among photoplethysmogram (PPG) signals, particularly in imbalanced class …

There is an ever-present need to objectively measure and analyze sports motion for the
determination of correct patterns of motion for skill execution. Developments in performance …

The predictive performance of machine learning (ML) models is challenged when trained on
class imbalance real-world construction datasets, reducing the accuracy of relevant …

ABSTRACT Aim/Purpose This review paper aims to unveil some underlying machine-
learning classification algorithms used for political election predictions and how stack …

Although traditional physical models have been used to analyse groundwater systems, the
emergence of novel machine learning models can improve the accuracy of the predictions …

Most of the existing class imbalanced classification methods are weak in interpretability,
which is necessary for models to be convincing in some specific scenarios. In this study, we …

Deepfake content is artificially created or altered using artificial intelligence (AI) methods to
appear real. Synthesis can include audio, video, images, and text. Deepfakes may now …

Machine Learning (ML)-based models are steadily gaining popularity. Their performance is
determined from the amount and the quality of data used at their inputs, as well as from the …

Sandwich structures made with fibre-reinforced plastics are commonly used in maritime
vessels thanks to their high strength-to-weight ratios, corrosion resistance, and buoyancy …

With the expansion of the Internet, Internet of Things devices, and related services, effective
intrusion detection systems are vital in cybersecurity. This study presents a significant …