Abstract: Insulator defect detection (IDD) of transmission lines is crucial for power system safety and stability, with Un-manned Aerial Vehicle (UAV)-based machine learning methods becoming prevalent ...

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Abstract: Defect detection in transparent components is important for improving their quality. However, such defects are typically tiny and diverse, occurring at different scales, which makes manual ...

The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...

Doctors in the Raquel and Jaime Gilinski Department of Obstetrics, Gynecology and Reproductive Science at Mount Sinai have become the first in New York City to implement an artificial intelligence (AI ...

Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...

Microsoft’s cross-platform .NET takes interesting dependencies, including a fork of Google’s Skia, now to be co-maintained with Uno Platform. The news that the .NET UI framework Uno Platform project ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

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 ...

Vivian Ott is a scientist in the Center for Cell Cultivation Techniques at the ZHAW Zurich University of Applied Sciences, led by Professor Ing. Regine Eibl, PhD. Her work focuses on the development, ...