A hybrid filtering and deep learning approach for early Alzheimer’s disease identification
This section delineates the processes of data preprocessing, data augmentation, the CNN model, and the implemented architecture that were carried...
This section delineates the processes of data preprocessing, data augmentation, the CNN model, and the implemented architecture that were carried...
Kim, H., Lin, Y. & Tseng, T.-L. B. A review on quality control in additive manufacturing. Rapid Prototyp. J.24, 645–669...
After performing data preprocessing and acquiring spectrograms, the data is then subjected to the ZFNet/Extreme Learning Machine (ELM) approach for...
This study employs a model that has been previously trained to extract visual data from diabetic foot photos and uses...