Titlebook: Knowledge Science, Engineering and Management; 17th International C Cungeng Cao,Huajun Chen,Yonghao Wang Conference proceedings 2024 The Ed

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VulCausal: Robust Vulnerability Detection Using Neural Network Models from?a?Causal Perspectiveization and handling real-world samples. These challenges are frequently attributed to dataset distribution shift, such as spurious correlations. While previous research has explored spurious correlations in other tasks, such as text classification and function naming, vulnerability detection has ye

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LLM-Driven Ontology Learning to?Augment Student Performance Analysis in?Higher Education formulation of educational knowledge concepts, student behaviors, and their relations. Traditional ontology creation requires deep domain knowledge and significant manual effort. However, advancements in Large Language Models (LLMs) have offered a novel opportunity to automate and refine this proce

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GC-DAWMAR: A Global-Local Framework for?Long-Term Time Series Forecasting solutions for distribution shift, excessive stationarization, and overfitting caused by training noise. Global convolution and de-stationary autocorrelation are used in GC-DAWMAR, a long-term time series forecasting approach, to address these issues. The global-local architecture maintains translat

蜿蜒而流

An Improved YOLOv7 Based Prohibited Item Detection Model in?X-Ray Imagesd YOLOv7 based object detection model is proposed. Firstly, within the Extended Efficient Layer Aggregation Network (E-ELAN) module, the Omni-Dimensional Dynamic Convolution (ODConv), which utilizes a combination of multiple attention mechanisms to enhance the network’s sensitivity to feature extrac

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殘廢的火焰

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