Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Xiankun Zhang,Jiayang Guo Conference proce

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Unsupervised Variable-Level Adversarial Representation Learning for Multivariate Time Seriesly capture the individual features of each variable, but it is difficult to capture the correlation and difference between variables. To solve this issue, an unsupervised variable-level adversarial representation learning model is developed for MTS, called VATSRL. ., our model regards multi-variate

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Research on Hidden Mind-Wandering Detection Algorithm for Online Classroom Based on Temporal Analysibehavior, this paper proposes and designs an attention detection algorithm based on the temporal analysis of gaze direction. The algorithm aims to detect hidden distraction phenomena during online classes. The algorithm utilizes the FaceSSD face detection model and the Dlib-based facial landmark det

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Dual Consistency Regularization for Semi-supervised Medical Image Segmentationfor medical image segmentation, existing methods are prone to produce inaccurate predictions in target edge regions due to the low contrast at organ boundaries. To address the above problem, we propose a novel dual consistency regularization network (DC-Net) for semi-supervised medical image segment

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A Progressive Learning Approach for Sound Event Detection with Temporal and Spectral Features Fusionbiles. While recent works in SED have achieved significant performance improvements through fine-tuning pre-trained frame-wise audio tagging (AT) models, bridging the gap between AT and SED tasks, a common limitation is their exclusive reliance on spectral features for input. This leads to a challen

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