去中心化的室内定位众包数据质量控制方法
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张学军,邝浚鑫,李成泽,李梅,张斌,加小红
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Decentralized indoor positioning crowdsourcing data quality control method
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Xuejun ZHANG,Junxin KUANG,Chengze LI,Mei LI,Bin ZHANG,Xiaohong JIA
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表 3 不同窗口大小的PoWFQ对模型性能的影响 |
Tab.3 Influence of PoWFQ with different window sizes on model performance |
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滑动窗口大小 | 数据集 | $ {a_{\rm{train}}} $ | $ {l_{\rm{train}}} $ | $ {a_{\rm{val}}} $ | $ {l_{\rm{val}}} $ | PoWFQ-winlen10 | UJIIndoorLoc | 0.8919 | 0.3488 | 0.6563 | 2.1507 | WiFi-RSS | 0.7918 | 0.6556 | 0.5058 | 2.0796 | MALL | 0.9093 | 0.2617 | 0.8927 | 0.3614 | PoWFQ-winlen15 | UJIIndoorLoc | 0.9664 | 0.0726 | 0.6000 | 3.1297 | WiFi-RSS | 0.6397 | 1.0972 | 0.2405 | 4.3345 | MALL | 0.7216 | 0.7592 | 0.6976 | 0.8146 | PoWFQ-winlen20 | UJIIndoorLoc | 0.8740 | 0.4000 | 0.6333 | 2.1305 | WiFi-RSS | 0.7431 | 0.7747 | 0.4432 | 3.5678 | MALL | 0.7004 | 0.8039 | 0.7174 | 0.7660 |
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