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 ...
This project focuses on automatically classifying the condition of solar panels using Deep Learning techniques. The model identifies six different panel conditions, including environmental ...
Abstract: Pavement crack detection poses a formidable challenge due to the intricate texture structures of cracks and the complex environmental settings in which they are situated. In recent years, ...
The family of a Texas woman who was killed has filed a lawsuit against Tesla after a driver using a Model 3’s automated driving assistance system crashed into a suburban Houston home last week. The ...
A beginner-friendly hackathon project that detects anomalies in industrial images, estimates the likely root cause, and displays results in a simple Streamlit dashboard. Upload industrial images ...
Meta’s new AI detection tool isn’t working entirely as advertised, according to a new report. Meta debuted its first image ...
Neutron sources can be directly identified from measured spectra rather than proxies using inference tools adapted from ...
AI fiction detection reaches 93% accuracy using only narrative structure — how plots unfold, themes are stated, and endings ...
A hybrid artificial intelligence model that combines two well-established deep learning techniques has improved the accuracy ...
New York paused new hyperscale data center permits for up to one year while it studies grid, water, ratepayer, and community impacts. If you can only read one tech story a day, this is it. We use ...
A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
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