Four sensors predict lower-limb joint moments with subject-specific calibration
A four-sensor deep-learning system estimated five lower-limb joint moments during walking and stair tasks, with 10 seconds of unlabeled walking ...
A four-sensor deep-learning system estimated five lower-limb joint moments during walking and stair tasks, with 10 seconds of unlabeled walking ...
A Mahabad Dam modeling study reported an 80% reduction in mean absolute error and a rise in Willmott’s index from ...
Researchers in Kazakhstan have developed a two-stage deep learning method that forecasts the solar spectrum itself and uses it to ...
Researchers at the University of Tübingen and Carl Zeiss Vision have built a real-time AI system that detects anomalous gaze ...
Researchers released QAMQOR, a public benchmark from 47 hours of robot-assisted autism therapy video showing that evaluation protocols, not algorithms, ...
Researchers have developed a physics-informed, uncertainty-aware graph neural network that predicts jet engine remaining useful life with record robustness under ...
A new closed-loop reinforcement learning framework called A3SM detects, localizes, and mitigates gray failures in cloud clusters, cutting recovery times ...
A new data-driven framework combines deep-learning probabilistic forecasting with convex optimization to coordinate virtual power plants and upstream substations under ...
Researchers in Taiwan combined Temporal Convolutional Networks, Nested LSTMs, signal decomposition, and a mutation-enhanced optimizer to cut wind power forecast ...
Researchers in India have built an explainable deep learning framework that forecasts cloud host load in real time with about ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine