Practical fusion power that can provide cheap, clean energy could be a step closer thanks to artificial intelligence.

Wastewater treatment is energy-intensive, with aeration and pumping among the largest cost drivers. The review details how AI ...

The BO-GBRT model accurately predicts compressive strength in self-compacting concrete with recycled aggregates, improving ...

To select the right model, Loglik, AIC and BIC were used as measurement tools to select the best structure. Finally, to predict the wind data that we analyzed through the linearity and dependencies ...

The $1.3 trillion asset manager will publish a paper later this year detailing how measuring network effects helps it better ...

The model provided an estimate of the mean difference in the score on the utility-weighted modified Rankin scale between groups with a corresponding 95% Bayesian credible interval.

Bayesian model averaging (BMA) provides a coherent and systematic mechanism for accounting for model uncertainty. It can be regarded as an direct application of Bayesian inference to the problem of ...

A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions of daily river stage, leveraging the spatial interdependence of river networks and hydrometeorological variables ...