Results 21 to 30 of about 11,237,134 (403)
BMC Public Health, 2023 Background Population-based surveys are the main data source to generate health-related indicators required to monitor progress toward national, regional and global goals effectively. Although the Eastern Mediterranean Region of World Health Organization
Sahand Riazi-Isfahani +5 more
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Media Information Dissemination Model of Wireless Networks Using Deep Residual Network
Mobile Information Systems, 2021 Information dissemination and its prediction in wireless networks is a challenging task. Researchers have studied the prediction process of media information dissemination in wireless networks using various methods.
Xiaojing Lv, D. Chun
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FACHS: Adaptive Hybrid Storage Strategy Based on File Access Characteristics
IEEE Access, 2023 With the widespread use of distributed systems and the development of big data technology, the storage redundancy, data availability and persistence of distributed systems have become a concern.
Ying Song, Qiang Zhang, Bo Wang
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BPR: An Erasure Coding Batch Parallel Repair Approach in Distributed Storage Systems
IEEE Access, 2023 Today, Erasure Coding is one of the most significant techniques widely used in distributed systems because it can improve reliability for large amounts of data with low storage overhead.
Ying Song, Wenxuan Zhao, Bo Wang
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LiteDEKR: End‐to‐end lite 2D human pose estimation network
IET Image Processing, 2023 The 2D human pose estimation plays an important role in human‐computer interaction and action recognition. Although the method based on high‐resolution network has superior performance, there is still room for improvement in terms of speed and ...
Xueqiang Lv +5 more
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HV-SNSP: A Low-Overhead Data Recovery Method Based on Cross-Checking
IEEE Access, 2023 The failure of a single unreliable commodity component is very common in large-scale distributed storage systems. In order to ensure the reliability of data in large-scale distributed storage systems, many studies have emerged one after another.
Ying Song, Tiantong Mu, Bo Wang
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Long-Tailed Visual Recognition via Improved Cross-Window Self-Attention and TrivialAugment
IEEE Access, 2023 In the real world, large-scale image data sets usually present long-tailed distribution. When traditional visual recognition methods are applied to long-tail image data sets, problems such as model failure and sudden decline in recognition accuracy occur.
Ying Song, Mengxing Li, Bo Wang
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A Long-Tailed Image Classification Method Based on Enhanced Contrastive Visual Language
Sensors, 2023 To solve the problem that the common long-tailed classification method does not use the semantic features of the original label text of the image, and the difference between the classification accuracy of most classes and minority classes are large, the ...
Ying Song, Mengxing Li, Bo Wang
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Study on Transmission Optimization for Hierarchical Federated Learning [PDF]
Jisuanji kexue, 2022 Compared with traditional machine learning,federated learning effectively solves the problems of user data privacy and security protection,but a large number of model exchanges between massive nodes and cloud servers will produce high communication costs.
ZOU Sai-lan, LI Zhuo, CHEN Xin
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Machine Translation Method Integrating New Energy Terminology Knowledge [PDF]
Jisuanji kexue, 2022 In domain machine translation,whether domain terms can be translated correctly plays a decisive role in translation quality.It is of practical significance to effectively integrate domain terms into neural machine translation model and improve the ...
DONG Zhen-heng, REN Wei-ping, YOU Xin-dong, LYU Xue-qiang
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