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Found 3 papers, 1 papers with code
Vision-aided nonlinear control framework for shake table tests
The signal generated by the control law of the adaptive control method will be implemented by a loop-shaping controller.
A reinforcement learning based construction material supply strategy using robotic crane and computer vision for building reconstruction after an earthquake
In this paper, the robotic crane with advanced AI algorithms is proposed to provide resources for infrastructure reconstruction after an earthquake.
MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting
Recently, Transformer-based methods have achieved surprising performance in the field of long-term series forecasting, but the attention mechanism for computing global correlations entails high complexity.
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