Tiny neural networks sharpen vehicle tracking while keeping Kalman filters intact
Three tiny neural networks, each under 50,000 parameters, cut prediction error by more than half and reached up to 95 ...
Three tiny neural networks, each under 50,000 parameters, cut prediction error by more than half and reached up to 95 ...
A lightweight deep learning system recognizes eating, standing, and lying in dairy cows and tracks each animal at 52.1 frames ...
A self-calibrating vision system that fuses camera images with inertial measurements tracked landslide creep with sub-millimeter accuracy over a 93-day ...
Researchers report an adaptive hybrid association strategy that dynamically blends motion and appearance cues to reduce identity switches and trajectory ...
LHCb's first-level trigger now runs a full Kalman filter track fit on around 500 GPUs at the experiment's full 30 ...
A new data assimilation study of the Brahmaputra basin finds a land water decline of 70.9 gigatons per decade over ...
Researchers introduced a dual-robust unscented Kalman filter, H∞-GMMC-UKF, which significantly improved UAV state estimation accuracy by addressing simultaneous model mismatch ...
A generative adversarial network combined with an unscented Kalman filter reconstructed missing air-quality data across New York City, cutting prediction ...
A new control framework for solar-integrated EV charging stations combines fuzzy logic, Kalman filtering, and predictive control to achieve high ...
Researchers have developed OrbitGuardNet, a hybrid AI defense that detects BeiDou spoofing attacks on drone swarms with up to 98.1 ...
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© 2025 Scienmag - Science Magazine