Gait phase detection plays a significant role in human motion intention recognition in lower limb exoskeleton.This study proposes a LSTM-ResMLP-LightGBM method for real-time gait phase detection in multigrade loads in outdoor activity.LSTM is exploited to extract the underlying meaning and construct a lengthy time relationship in multiple features.
The collaboration development between the power supply, solar power, and storage batteries is a formidable commission in the smart solar microgrid.The efficient power management integrated into a smart solar microgrid is required to address these problems.The deep learning predictive tools are utilized to forecast the maximum building’s thre
Weather and climate extremes in light of the IPCC SREX (2011) and beyond.The recent IPCC Special Report (IPCC SREX, 2011) provides a comprehensive overview of meteorological (i.e.weather and climate) extremes and their various aspects.The present paper reflects the core concepts of the Report, clarifying the relations of Mens gloves the natural and
This paper presents motion prediction model of cyclist based on potential field for a hazard-anticipatory collision avoidance braking system to enhance FC Accessories the collision avoidance performance and secure the smoothness of driving.The target situation is chosen as the scene that a cyclist overtakes a pedestrian or another slowcyclist based