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Found 3 papers, 3 papers with code
Signal Novelty Detection as an Intrinsic Reward for Robotics
In advanced robot control, reinforcement learning is a common technique used to transform sensor data into signals for actuators, based on feedback from the robot’s environment.
Solar Irradiance Forecasting with Transformer Model
Solar energy is one of the most popular sources of renewable energy today.
Wearable Sensor-Based Human Activity Recognition with Transformer Model
In this study, the transformer model, a deep learning neural network model developed primarily for the natural language processing and vision tasks, was adapted for a time-series analysis of motion signals.
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