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 ...
A stacking ensemble machine learning framework combining three diverse base algorithms and Lasso regression accurately predicts the compressive strength of ...
A new study reports that hybrid broad learning systems optimized by parameter-free metaheuristics predict concrete compressive strength with MAPE below ...
Researchers combined a strengthened whale optimization algorithm with a kernel extreme learning machine to predict ultra-high-performance concrete strength, achieving test ...
Researchers developed a causal-diagnosis and causal-chain-based treatment framework to systematically address and significantly reduce water leakage in operational mountainous highway ...
A new Scientific Reports study presents an interpretable enhanced linear regression model that predicts concrete compressive strength with a nested ...
A ten-semester audit of a Malaysian civil engineering program found students excel at communication and collaboration in sustainability courses while ...
Researchers have developed an attention-enhanced residual network that converts structural vibration data into Markov transition field images and detects local ...
A two-stage Vision Transformer–U-Net pipeline restores reliable detection of rare voids in concrete X-ray CT images where single-stage deep learning ...
Researchers in Mexico have built an AI pipeline combining SAM2, Florence2 and Stable Diffusion XL to detect and segment cracks ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine