Abstract: Classroom learning behavior recognition can provide effective technical support for teaching and learning. However, in natural classroom teaching scenarios, classroom learning behaviors are ...

Abstract: Action Quality Assessment (AQA) is a challenging task involving analyzing fine-grained technical subactions, aligning high-level visual-semantic representations, and exploring internal ...

Abstract: The application of robotic puncture system in thoracic-abdominal puncture (TAP) surgery has been hindered by the undistinguished accuracy on account of the respiratory motion. In order to ...

Abstract: This paper deals with a resonant gate-drive circuit for fast-switching and high-voltage power semiconductor devices, which is equipped with optical fibers for both gate control signal and dc ...

Abstract: We propose a surrogate-assisted reference vector guided evolutionary algorithm (EA) for computationally expensive optimization problems with more than three objectives. The proposed ...

Abstract: For the future development of an integrated energy system (IES) with ultra-high penetration of renewable energy, a planning model for an electricity-hydrogen integrated energy system (EH-IES ...

Abstract: As the operation process of natural gas pipeline are affected by gas sources and the fluctuation of consumers' gas consumption, and the operation state changes with time, the transient ...

Abstract: Main issues in visual servoing of manipulators mainly include rapid convergence of feature errors to zero and the safety of joints regarding joint physical limits. To address the two issues, ...

Abstract: Similar to the efforts to move toward electric vehicles, much research has focused on the idea of a more electric aircraft (MEA). The motivations for this research are similar to that for ...

Abstract: Large Language Models (LLMs) recently demonstrated extraordinary capability in various natural language processing (NLP) tasks including language translation, text generation, question ...

Abstract: In this article, we propose a sparse spectra graph convolutional network (SSGCNet) for epileptic electroencephalogram (EEG) signal classification. The goal is to develop a lightweighted deep ...

Abstract: Grid synchronization algorithms are of great importance in the control of grid-connected power converters, as fast and accurate detection of the grid voltage parameters is crucial in order ...