The neural network (NN)-based direct uncertainty quantification (UQ) methods have
achieved the state of the art performance since the first inauguration, known as the lower …

Traditional uncertainty quantification (UQ) algorithms are mostly developed for a fixed time
(term), such as hourly or daily predictions. Although a few UQ techniques can compute UQ …

Purpose This study aims to propose the adoption of artificial neural network (ANN)-based
prediction intervals (PIs) to give more reliable prediction of labour productivity using …

This study proposes new models to predict the punching shear strength of flat slabs without
transverse reinforcement by harnessing the power of machine learning through ensemble …

Uncertainty quantification (UQ) from similar events brings transparency. However, the
presence of an irrelevant event may degrade the performance of similarity-based algorithms …

The accurate prediction of wind energy production is crucial for an affordable and reliable
power supply to consumers. Prediction models are used as decision-aid tools for electric …

Prediction Interval (PI) is a powerful technique for quantifying the uncertainty of regression
tasks. However, research on PI for data streams has not received much attention. Moreover …

Forecasting regional economic activity is a progressively significant element of regional
economic research. Regional economic prediction can directly assist local, national, and …