The education sector has benefited enormously through integrating digital technology driven
tools and platforms. In recent years, artificial intelligence based methods are being …

Transfer learning (TL), which enables neural networks (NNs) to generalize out-of-distribution
via targeted re-training, is becoming a powerful tool in scientific machine learning (ML) …

Algorithmic predictions are promising for insurance companies to develop personalized risk
models for determining premiums. In this context, issues of fairness, discrimination, and …

Over the last years, studies using artificial intelligence (AI) for the detection and prediction of
diseases have increased and also concentrated more and more on vulnerable groups of …

Introduction Recognizing and extracting key information from textual data plays an important
role in intelligent systems by maintaining up-to-date knowledge, reinforcing informed …

Introduction People are today increasingly relying on health information they find online to
make decisions that may impact both their physical and mental wellbeing. Therefore, there is …

In recent years, the explosion of extensive geolocated datasets related to human mobility
has presented an opportunity to unravel the mechanism behind daily mobility patterns on an …

Mpox, a zoonotic disease re-emerging from animals to humans, poses a risk of evolving into
a global pandemic due to its high infectivity and potential asymptomatic transmission. This …

Background Deep‐learning (DL) methods are rapidly changing the way researchers classify
neurological disorders. For example, combining functional magnetic resonance imaging …

The current image semantic segmentation methods cannot meet the requirements of high
precision and high speed for remote sensing image analysis. The ENet network model …