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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S. I. Sukhoruchkin,Z. N. Sorokorous types of equipment. Nonetheless, two major obstacles still obstruct its deployment to real-world applications. The first issue is that they rarely take the entire pipeline’s speed into account. The second is that they are incapable of dealing with some low-quality images (i.e., meter breakage,

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S. I. Sukhoruchkin,Z. N. Sorokok (WBAN), which is facing energy scarcity problems. However, it is unable to differentiate data priorities during operation and cannot be adaptively adjusted according to the state of the nodes. Therefore, this paper proposes an alternative combination of priority-based channel access and adaptive b

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Efficient Medical Image Data Management Based on a Lightweight Sharding Blockchainnds. Blockchain technology is proposed to solve the problem of medical images’ information islands due to its decentralization, transparency, openness, autonomy, anonymity, and information tampering. However, each node needs to maintain the complete blockchain, and with the amount of medical image d

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Paint Price Prediction Using a Triplet Network-Multimodal Network-LSTM Combined Deep Learning Approaange 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