A University of Houston engineer has developed new technology that uses ground-penetrating radar and artificial intelligence to detect damage in materials like studs and joists made of the lightweight ...
The field of optical image processing is undergoing a transformation driven by the rapid development of vision-language models (VLMs). A new review article published in iOptics details how these ...
This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...
Abstract: This research proposes a novel approach utilizing Convolutional Neural Networks (CNNs) for the early detection of stripe rust (Puccinia striiformis) diseases in wheat crops. The study ...
GPU-optimized damage detection system based on Segment Anything Model (SAM) ViT-H, specialized for rebar corrosion detection in concrete structures with automatic privacy masking for construction ...
Engineering a Time Series Database Using Open Source: Rebuilding InfluxDB 3 in Apache Arrow and Rust
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ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
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