A deep learning framework with hybrid stacked sparse autoencoder for type 2 diabetes prediction
In the prediction of diabetes using the HSSAE algorithm, the research was conducted in three stages, as indicated in Fig. 1....
In the prediction of diabetes using the HSSAE algorithm, the research was conducted in three stages, as indicated in Fig. 1....
This study proposes an online personalized English learning path recommendation method that integrates knowledge graphs with deep reinforcement learning, aiming...
Li, X. et al. A critical review of virtual and augmented reality (VR/AR) applications in construction safety. Autom. Constr. 86,...
Simulations to train deep learning models on particle pickingTemplate Learning is a streamlined pipeline for simulating cryo-ET synthetic data for...
A schematic of the VaTD training scheme. Credit: Credit: Hong Kong University of Science and Technology A research team has...
Framework for XRD prediction and its analysisVSS are simulated within structural templates, covering a wide range of hypothetical and potentially...