This study examines the effectiveness of DL algorithms in differentiating persons with ASD from those without, using a comprehensive dataset that includes images of children ... approaches. Using ...

This project focuses on an image preprocessing pipeline tailored for detecting car damage using OpenCV. The pipeline improves image clarity, reduces noise, and extracts relevant features to aid ...

Existing remote sensing image‒text datasets are small in scale and confined to specific geographic areas and scene types. Besides, existing text2image methods have struggled to achieve global-scale, ...

Purpose:The main goal of a damaged car preprocessing pipeline is to prepare vehicle images for accurate damage detection and analysis using computer vision models. Preprocessing improves image quality ...

We first develop a large-scale denoised image dataset to show the diversity of distortions. Then, we employ structural equation modeling to establish correlations among three fundamental aspects of ...