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Titlebook: Web and Big Data; 7th International Jo Xiangyu Song,Ruyi Feng,Geyong Min Conference proceedings 2024 The Editor(s) (if applicable) and The

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楼主: JOLT
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,STTR-3D: Stereo Transformer 3D Network for Video-Based Disparity Change Estimation,dimensional images. This map offers information that fills the gap between optical flow and depth which is desirable for numerous academic research problems and industrial applications, such as navigation systems, driving assistance, and autonomous systems. We introduce STTR3D, a 3D extension of the
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,ECS-STPM: An Efficient Model for Tunnel Fire Anomaly Detection,he lack of public fire datasets makes it challenging for networks to learn targeted representations of fire features, resulting in low detection accuracy. To tackle this problem, we construct a Tunnel Fire Anomaly Detection (TF-AD) dataset based on unsupervised training. This dataset contains 5200 h
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,NV-QALSH+: Locality-Sensitive Hashing Optimized for Non-volatile Memory,te-of-the-art LSH method, is a disk-based algorithm and suffers from high latency of disk I/O, even though it exploits disk-friendly B+-Trees as index data structures. On the other hand, DRAM-based methods occupy large amounts of expensive DRAM space and have long index rebuilt time. To solve the ha
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,A Novel Causal Discovery Model for Recommendation System,erned by a complex web of causal models, and causal relationships are crucial in the recommendation process. Unfortunately, existing methods are limited in their ability to uncover hidden causal relationships because they may generate false causal relationships, which limits their recommendation per
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Conference proceedings 2024 which took place in Wuhan, China, in October 2023...The total of 138 papers included in the proceedings were carefully reviewed and selected from 434 submissions. They focus on innovative ideas, original research findings, case study results, and experienced insights in the areas of the World Wide
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0302-9743 orld Wide Web and big data, covering Web technologies, database systems, information management, software engineering, knowledge graph, recommend system and big data..978-981-97-2420-8978-981-97-2421-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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