EDL combines the outputs of several machine learning (ML) models to enhance their generalization performance. The traditional approach to building an ensemble uses deep neural networks (DNNs) in a ...

Importantly, explainable AI is beginning to be integrated into these systems, offering pathways to clarify how models reach their conclusions. This emerging focus on interpretability is seen as ...

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

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 ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

A research team has studied the development of the Shanghai Typhoon Model from a traditional physics-based regional model ...