Single-Sensor AI Spots Bridge Damage From Bumpy Vehicle Rides
An unsupervised AI framework detects bridge condition changes from a single accelerometer by fusing time and frequency features and comparing ...
An unsupervised AI framework detects bridge condition changes from a single accelerometer by fusing time and frequency features and comparing ...
An artificial neural network trained on finite element simulations can synthesize experimental acoustic emission damage signals for locations on a ...
A new review of 201 studies traces how bridge structural health monitoring evolved from classical Fourier and wavelet analysis to ...
Researchers have developed an attention-enhanced residual network that converts structural vibration data into Markov transition field images and detects local ...
Researchers have developed MuHP-DLNet, a multi-stage deep learning network with a damage-aware dynamic loss that improves the detection and segmentation ...
Researchers at Southeast University have developed a deep learning framework that automatically detects and quantifies surface damage in masonry heritage ...
Researchers have developed a real-time AI framework and a new field-captured dataset, VerBeet, that localize sugar beets and detect breakage ...
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© 2026 Scienmag - Science Magazine