In this cross-sectional study, we evaluated the completeness, readability, and syntactic complexity of cardiovascular disease prevention information produced by GPT-4 in response to 4 kinds of prompts ...
An illustration of lipid nanoparticles (green circles) targeting the lung, designed using neural networks. Witten et al. present a method (LiON) using neural networks for lipid discovery and ...
Abstract: Heterogeneous cross-project defect prediction (HCPDP) aims to predict defects in new software projects using defect data from previous software projects where the source and target projects ...
Currently, concrete structural damage detection primarily relies on industrial cameras to capture 2-D images for identifying cracks and voids. However, assessing the extent of damage using these ...