… IoT-enabled ensemble deep learning framework is shown in Figure 8. The proposed framework
… Therefore, the proposed framework can be efficiently applied for the early diagnosis of …

… framework called HealthFog for integrating ensemble deep … of integrating complex ensemble
deep learning models with … is able to use deep learning based frameworks to provide highly …

… diagnosis technology, the application scope of single deep model may have corresponding
limitations. Accordingly, in this paper, an ensemble deep learning diagnosis … The framework …

… the deep Uniform-Net, and Convolutional Neural Network (CNN). The weighted sum-rule
fusion method and ensemble deep learning … For the early diagnosis of patients, the framework …

… 4.3 Ensemble DL Application The Ensemble DL application is used as a model in this work,
… The ensemble techniques are used in this research are boosting with averaging. The data …

… CT and X-ray images using deep learning features is calculated by entropy. … deep learning
models. Similarly, these techniques need to be applied in the deep learning-based diagnosis …

… The VGG framework won the ILSVR (ImageNet) competition in 2014. The framework
enhances the AlexNet framework by replacing kernel-sized filter in which 11 represents the initial …

… deep-ensemble approach for dementia-level classification from brain images, ii) to compare
different deep learning … strategy in a deep learning framework to detect Alzheimer's disease …

… classification algorithms ranging from medical diagnosis to remote sensing. Mathematically,
… algorithms into a uniform framework. Ensemble deep learning models need to handle …

… (CNN) is used to identify MI signals in an efficient computer-aided diagnosis (CAD) framework
for urban healthcare in smart cities [12]. The novel feature extraction protocol followed by …