By focusing on six characteristics, the study claims you could reach "near-perfect accuracy" at detecting AI deepfakes.
Researchers developed a daylight electroluminescence imaging method that enables detection of low-energy glass cracks in PV ...
New root cause analysis technology gives AI coding agents the ability to diagnose application failures and deliver actionable debugging insights with less developer involvement.
A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.
Abstract: Automated sewer defects detection has become an important trend for better management and maintenance of urban sewer systems. Deep learning technology has developed rapidly and offers an ...
The rising traffic density and heavier loads on the city’s vast network of bridges and highways have posed challenges to establishing an efficient and reliable inspection system for road safety.
Tired of subway delays? The MTA wants to fix that by strapping Google smartphones to New York trains
Rob Sarno has been with the New York City’s Metropolitan Transportation Authority (MTA) for 14 years. As assistant chief track officer, he assists maintenance and emergency response — which also meant ...
This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...
The stable operation of a power supply system is inseparable from the work of detecting defects in transmission lines. However, the insulator defect detection model based on deep learning is widely ...
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