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Titlebook: Spatial Data and Intelligence; First International Xiaofeng Meng,Xing Xie,Zhiming Ding Conference proceedings 2021 Springer Nature Switzer

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Te Qi,WeiNa Zhang,Tao Yuanorkbench developed within the . project. These features can be used to take advantage of the new knowledge implicitly provided by human experts when they generate new translations. Online learning (OL) allows the system to learn from user feedback in real time by incrementally adapting the parameter
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Conference proceedings 2021-9, 2020. The conference was planned to take place in Shenzhen, China, and changed to an online format due to the COVID-19 pandemic. ..The 21 full papers presented in this volume were carefully reviewed and selected from 50 submissions. They were organized in topical sections named: traffic manageme
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A Method of Emergency Prediction Based on Spatiotemporal Context Time Seriesvity data. Then, dividing the time series into time period and time window. Finally, exploiting the time series’ spatiotemporal patterns to predict the emergency of current activity. Experimental results show that the proposed method can achieve better prediction of large-scale activity emergencies in a specific venue.
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Efficiently Detecting Light Events in Astronomical Temporal Data we use DTW to match the raw data of the suspicious light event. The experimental results demonstrate that for the processing of 0.93 million pieces of historical data, the combined method is nearly 3 times faster than DTW. The processing accuracy of abnormal data is improved by 2 orders of magnitude.
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Performance Ranking Based on Bézier Ranking Principal Curvene with the popular perception. The experimental result proves that as for the ranking in performance evaluation, RPC method is more scientific and interpretable than the method of weighted average and Elmap model.
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