Researchers have developed SkinEnsemNet, an ensemble deep learning framework combining VGG16, DenseNet201, and EfficientNetB0 ...
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 ...
Researchers in Ethiopia have built an interpretable deep learning ensemble that identifies malaria parasite species from thin ...
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 ...