SinoXivDepression remains difficult to diagnose using objective biological markers, highlighting the need for biomarkers that are both replicable and generalizable. Electroencephalography (EEG) microstate an...
This work takes a step toward Automated Machine Learning (AutoML) by moving beyond the traditional black-box approach often seen in engineering applications of neural networks. The primary objective i...
The present study aimed to investigate genetic parameters and maternal effects for growth performance and feed efficiency traits in Chokla sheep. The dataset comprised 6,785 growth records of Chokla s...
COVID-19 has accelerated the challenges of cardiovascular complications among patients, leading to the increased urgency of safe, trustworthy, and smart healthcare information management systems. Elec...
Background: Timely detection of localised COVID-19 surges is essential for targeting limited health resources, yet most routine surveillance algorithms ignore spatial dependence and many Bayesian spat...
Marine oil spills cause severe damage to ocean ecosystems and coastal economies. Timely scheduling of oil spill emergency resources is crucial for effective emergency response. Addressing the challeng...
Floods have caused severe damages in Austria in recent years, and climate change is expected to increase flood risks in the future. While Austria has an advanced hydrological measurement network for f...
This paper investigates the relationship between fiscal policy, economic complexity, and income inequality in the Middle East and North Africa (MENA) region, with additional country-level evidence fro...
Simulation-based inference (SBI) provides a principled route to parameter inference when a simulator is available but pointwise likelihood evaluation is infeasible. Two technical bottlenecks neverthel...
