Titlebook: Computer Applications; 38th CCF Conference Min Zhang,Bin Xu,Zeguang Lu Conference proceedings 2024 The Editor(s) (if applicable) and The A

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Communications in Computer and Information Sciencehttp://image.papertrans.cn/c/image/233474.jpg

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vely extract information from these data, it is imperative to extract monitoring data from various equipment and subject it to a series of processing steps. Data extraction is a crucial stage in the ETL (extraction, transformation, loading) process. In this paper, we conduct a comprehensive analysis

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ange pattern of artwork painting prices remains a challenge. We propose a paint price prediction using a triplet network-multimodal network-LSTM combined deep learning approach for dynamically predicting paint prices. By using triplet sets of paintings classified by similar transaction prices, our p

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d analysis of running postures. According to the profile running video, the system extracts the frame set of the time sequence from the filtered images, using the OpenPose algorithm to achieve runners’ 18 joint coordinates and calculate the corresponding eight bone vectors and four joint angles. A d

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ng-based municipal solid waste detection is a challenging problem. This paper presents a novel one-shot municipal solid waste detection model based on Faster R-CNN and the attention mechanism to improve detection performance via object-relevant feature enhancement and category-level feature fusion.

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resources and conflicts between tobacco farmers and collection stations. To rapidly and accurately recognize tobacco grades, a tobacco grading network called Tacc-Net was proposed. First, the convolution layer, pooling layer, batchnorm layer and SENet are used to build the Tacc-Block. Second, three

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