Abstract: Uncertainty in climate change poses challenges in obtaining accurate and reliable prediction models for future pavement performance. This study aimed to develop an advanced prediction model ...

Abstract: Predictive maintenance is essential for ensuring the reliability and efficiency of wind energy systems. Traditional deep learning models for sensor fault detection rely solely on data-driven ...

Many are fiddling their body mass index on online pharmacy sites to qualify for medicines, or microdosing to shift a few ...

We use Bayesian meta-analysis methods to estimate the impact of unconditional cash transfers (UCTs). Aggregating evidence from 115 studies of 72 UCT programs in middle and low income countries, we ...