Emotion recognition with multiple physiological parameters based on ensemble learning
Discussion of random initialization resultsThis study aimed to investigate the impact of random seed initialization on model performance. The same...
Learning methods
Ensemble-based eye disease detection system utilizing fundus and vascular structures
DatasetsThis work employed three open-source datasets of retinal disease images: the Multi-Label Retinal Diseases (MuReD) dataset29 from the Mendeley platform,...
A bearing fault diagnosis method for hydrodynamic transmissions integrating few-shot learning and transfer learning
Testing and analysis of few-shot fault diagnosis models under cold-start conditionsFollowing the experimental protocol, the target-domain test data are partitioned...
An efficient plant disease detection using transfer learning approach
The global human population is undergoing rapid growth, leading to substantial impacts and posing significant challenges to humanity. Among these...
Predicting abnormal fetal growth using deep learning
Study designIn this retrospective, multi-center cohort study, we used a deep learning model for estimating fetal weight based on ultrasound...
An efficient bearing fault detection strategy based on a hybrid machine learning technique
Time–frequency image representations are then classified using features acquired from seven different famous convolutional neural network models. Initial attempts to...
