This paper proposes development of optimized heterogeneous ensemble models for prediction of responses based on given sets of input parameters for wire electrical discharge machining (WEDM) processes, ...

This study aimed to determine if an ensemble (stacking) model that integrates three independently developed base models can reliably predict patients’ neurological outcomes following out-of-hospital ...

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...