In skeleton-based action recognition, graph convolutional networks (GCNs) have become the most common method due to their strong modeling ability on graph data and the utilization of prior knowledge on human skeleton....
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Facial Expression Recognition has a wide application prospect in social robotics, health care, driver fatigue monitoring, and many other practical scenarios. Automatic recognition of facial expressions has been extens...
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Most current representations of protein pockets are the atom-pair graph, which ignore the global structural information of amino acids. Therefore, we propose a new molecular generation model, which uses the hypergraph...
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Dynamic wireless charging (DWC) systems for electric vehicles are an important solution for electric vehicles to be used more commonly in the future. However, when the electric vehicle is moving and charging in the DW...
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Intelligent transportation systems (ITSs) rely heavily on traffic flow forecasting to facilitate efficient traffic management and alleviate congestion. This paper proposes an innovative hybrid network-spatio-temporal ...
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With the rapid rise of the Industrial Internet, emails that convey a large amount of information require a strong network security environment. Aiming at the increasingly complex mail virus prevention and control work...
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The safety of student dormitory has always been the most important issue of university management，Traditional dormitory security has always been done by administrator, This paper designs a dormitory security manageme...
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The COVID-19 pandemic has changed the way that universities teach and how students learn. Operating system is the basic course of computer, software engineering, big data technology and other majors in colleges and un...
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In an attempt to solve the problem of the difficult choice of step size for the fractional order gradient descent method, this article proposes a novel fractional order speedest gradient descent method for the quadrat...
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Neural Networks can learn natural language representations within levels of abstraction, and have recently shown much promise for Natural Language Processing (NLP) applications. Kinds of Neural Network Language Models...
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