This repo contains an App Designer app for training an image classification deep neural networks in MATLAB. Using this app, you can: Import data and apply standard augmentations. Choose a pretrained ...

A deep learning model using baseline fundus images accurately predicted myopia and high myopia risk in school-aged children More than half of children without myopia at baseline developed the ...

Abstract: This study explores the application and practice of deep learning algorithms and MATLAB software in teaching higher mathematics. The teaching case design of function approximation, ...

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

Department of Organic and Inorganic Chemistry, EPS Linares, University of Jaén, 23700 Linares, Spain Department of Material Science and Metallurgy Engineering and Inorganic Chemistry, University of ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

Abstract: Deep learning has advanced consumer electronics, particularly in predictive maintenance and resource optimization. Within the consumer internet of vehicles (CIoV) framework, these ...

This study introduces Popnet, a deep learning model for forecasting 1 km-gridded populations, integrating U-Net, ConvLSTM, a Spatial Autocorrelation module and deep ensemble methods. Using spatial ...

Buildings account for a large proportion of the total energy consumption in many countries and almost half of the energy consumption is caused by the Heating, Ventilation, and air-conditioning (HVAC) ...