New Method Filters Highway Sensor Data in Real Time
A new real-time machine learning framework reduces highway structural health monitoring data storage by 91.63% while maintaining a 0.91 recall ...
A new real-time machine learning framework reduces highway structural health monitoring data storage by 91.63% while maintaining a 0.91 recall ...
Researchers have extended a bias-aware calibration framework to multi-physics offshore wind turbine models, successfully identifying structural and aerodynamic parameters from ...
A newly published study in Discover Artificial Intelligence proposes a machine learning framework designed specifically for this problem, combining a ...
An interpretable machine learning framework classified rock mass conditions along China's Beishan URL spiral ramp from stable TBM sensor data ...
A new open-access review finds that machine learning and deep learning models using real-time sensor data improve electric vehicle remaining ...
Researchers combined a low-cost IoT monitoring prototype with a Bayesian-optimized XGBoost model that achieved the highest accuracy and fastest computation ...
A new contrastive learning method called MsRCL uses multi-scale patch decomposition and channel-aware attention to improve anomaly detection in multivariate ...
A conditional diffusion model reached an F1-score of 0.975 when detecting abnormal data in a 90-day, 18-channel bridge monitoring dataset ...
A new mini-review maps what happens when multimodal sensing, federated privacy and continual adaptation must work simultaneously in human activity ...
A dual-graph deep learning network that hard-codes petroleum physics alongside learned statistics cuts oil production prediction error to about 20 ...
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© 2026 Scienmag - Science Magazine