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Wen Tian, Yining Zhang, Ying Zhang, Haiyan Chen and Weidong Liu
To fully leverage the spatiotemporal dynamic correlations in air traffic flow and enhance the accuracy of traffic flow prediction models, thereby providing a more precise basis for perceiving congestion situations in the air route network, a study was co...
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Baohua Wei and Lei Zhu
Bike sharing offers a usable form of feeder transportation for connecting to public transportation and effectively meets unmet travel demands, alleviating the pressure on public transportation systems by diverting urban commuters. To advance the comprehe...
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Hui Zhang, Jing Li and Tianshu Quan
Rapid population aging has serious implications for socio-economic development and poses considerable challenges to food security and agricultural economic resilience, issues that are not well understood to date. Against the background of the aging agric...
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Lihui Chen, Zhonghua He, Xiaolin Gu, Mingjin Xu, Shan Pan, Hongmei Tan and Shuping Yang
Droughts are becoming more frequent in the karst region of southwest China due to climate change, and accurate monitoring of karst agricultural droughts is crucial. To this end, in this study, based on random forest (RF) and support vector regression (SV...
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Mara Meggiorin, Giulia Passadore, Silvia Bertoldo, Andrea Sottani and Andrea Rinaldo
This study compares three imputation methods applied to the field observations of hydraulic head in subsurface hydrology. Hydrogeological studies that analyze the timeseries of groundwater elevations often face issues with missing data that may mislead b...
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Di Liu, Qiang Li, Sen Li, Jun Kong and Miao Qi
Pedestrian trajectory prediction is an important task in practical applications such as automatic driving and surveillance systems. It is challenging to effectively model social interactions among pedestrians and capture temporal dependencies. Previous m...
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Miaomiao Hou, Xiaofeng Hu, Jitao Cai, Xinge Han and Shuaiqi Yuan
Crime issues have been attracting widespread attention from citizens and managers of cities due to their unexpected and massive consequences. As an effective technique to prevent and control urban crimes, the data-driven spatial?temporal crime prediction...
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Haici Zhang
Lehman Brothers? failure in 2008 demonstrated the importance of understanding interconnectedness in interbank networks. The interbank market plays a significant role in facilitating market liquidity and providing short-term funding for each other to smoo...
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Caifeng Tan, Jianping Tao, Lan Yi, Juan He and Qi Huang
The implementation of the agricultural insurance policy and advancement of agricultural technology has great significance for the development of the agricultural economy of China, and it is an important source of national stability and modernization and ...
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Chaoli Tang, Dewei Hao, Yuanyuan Wei, Fangzheng Zhu, Xin Wu and Xiaomin Tian
To comprehensively explore the characteristics of global SST anomalies, a novel time?frequency combination method, based on the COBE data and NCEP/NCAR reanalysis products in the past 100 years, was developed. From the view of the time domain, the global...
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