特征
发表于 2025-3-25 05:59:50
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obnoxious
发表于 2025-3-25 11:21:04
Research on Optimizing the Location and Capacity of Electric Vehicle Charging Stationsdence time of EV in the charging station, use queuing theory to solve the charging station capacity allocation model. The experimental results shows that DEIPSO can better jump out of the local optimum and achieve the global optimum; the proposed model can plan the charging station on the basis of f
cardiac-arrest
发表于 2025-3-25 15:09:02
AutoMTS: Fully Autonomous Processing of Multivariate Time Series Data from Heterogeneous Sensor Netw series imputation and outlier detection-and-treatment, considering both point and segment/serial occurrences. A comprehensive evaluation of AutoMTS is accomplished using heterogeneous sensors from two water distribution systems with varying sampling rates, water consumption patterns, and inconsiste
hysterectomy
发表于 2025-3-25 17:45:06
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Interdict
发表于 2025-3-25 21:35:49
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Medicaid
发表于 2025-3-26 01:29:32
Face Reconstruction with Specific Weight Mask-precision face model. We do experiments on the three-dimensional face datasets AFLW2000-3D and 300W-3D. The results show that this method can obtain good performance in face multi-angle reconstruction, and the accuracy is also improved.
扩音器
发表于 2025-3-26 05:19:47
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Anticoagulants
发表于 2025-3-26 10:15:13
Sleep Apnea Monitoring System Based on Channel State Informationdel is built to identify apnea state, so as to eliminate interference caused by changes in sleep postures. Experiment results show that the detection accuracy rate for sleep apnea is over 95.6%. Our system can be a daily apnea monitoring approach and provide health reference for users.
bronchodilator
发表于 2025-3-26 13:46:33
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expire
发表于 2025-3-26 18:03:07
Data Augmentation for Cardiac Magnetic Resonance Image Using Evolutionary GANete sample space become continuous to improve the smoothness between domains. In this paper, the effectiveness of this method is verified by classification experiments, and the influence of the proportion of synthesized samples on the classification results of cardiac magnetic resonance images is explored.