Search Results - "Wei ShangGuan"

An attention-aware LSTM model for soil moisture and soil temperature prediction by Li, Qingliang, Zhu, Yuheng, Shangguan, Wei, Wang, Xuezhi, Li, Lu, Yu, Fanhua

“…•A novel attention-aware LSTM model (ILSTM_Soil) is developed for soil prediction.•The temporal and predictor’s importances are widely investigated.•The…”
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SoilGrids250m: Global gridded soil information based on machine learning by Hengl, Tomislav, Mendes de Jesus, Jorge, Heuvelink, Gerard B M, Ruiperez Gonzalez, Maria, Kilibarda, Milan, Blagotić, Aleksandar, Shangguan, Wei, Wright, Marvin N, Geng, Xiaoyuan, Bauer-Marschallinger, Bernhard, Guevara, Mario Antonio, Vargas, Rodrigo, MacMillan, Robert A, Batjes, Niels H, Leenaars, Johan G B, Ribeiro, Eloi, Wheeler, Ichsani, Mantel, Stephan, Kempen, Bas

“…This paper describes the technical development and accuracy assessment of the most recent and improved version of the SoilGrids system at 250m resolution (June…”
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Time-Space-Based Virtual Coupling High-Speed Train Separation Model and Trajectory Planning by Dun, Yichen, ShangGuan, Wei, Song, Hongyu, Cai, Baigen

“…The Virtual coupling is proposed as a blocking mode to address the increasing demand for railway transport capacity, which takes operation efficiency further…”
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Improved daily SMAP satellite soil moisture prediction over China using deep learning model with transfer learning by Li, Qingliang, Wang, Ziyu, Shangguan, Wei, Li, Lu, Yao, Yifei, Yu, Fanhua

“…•Deep learning models predicted soil moisture well with limited SMAP samples.•Transfer learning improved predictions with additional samples from…”
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High-Speed Train Platoon Dynamic Interval Optimization Based on Resilience Adjustment Strategy by Shangguan, Wei, Luo, Rui, Song, Hongyu, Sun, Jing

“…Resilience adjustment refers to the generation of a control strategy by evaluating the interaction between related factors. Tracking intervals of the…”
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Hierarchical Perception Enhancement for Different Levels of Autonomous Driving: A Review by Zha, Yuanyuan, Shangguan, Wei, Chai, Linguo, Chen, Jingjing

“…High precision, strong reliability, and wide range of perception can provide essential data support for the safe and efficient driving of autonomous vehicles…”
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Mapping the global depth to bedrock for land surface modeling by Shangguan, Wei, Hengl, Tomislav, Mendes de Jesus, Jorge, Yuan, Hua, Dai, Yongjiu

“…Depth to bedrock serves as the lower boundary of land surface models, which controls hydrologic and biogeochemical processes. This paper presents a framework…”
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Hybrid remaining useful life prediction method. A case study on railway D-cables by Zang, Yu, Shangguan, Wei, Cai, Baigen, Wang, Huasheng, Pecht, Michael. G.

“…This paper develops a hybrid remaining useful life (RUL) prediction method and explores the feasibility for complex system equipment, using one of transmission…”
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A Fault-Tolerant Tightly Coupled GNSS/INS/OVS Integration Vehicle Navigation System Based on an FDP Algorithm by Jiang, Wei, Liu, Dan, Cai, Baigen, Rizos, Chris, Wang, Jian, Shangguan, Wei

“…This paper describes an adaptive fault-tolerant triple-integration vehicle navigation system. The proposed triple-integration system is based on a tightly…”
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Depth-to-bedrock map of China at a spatial resolution of 100 meters by Yan, Fapeng, Shangguan, Wei, Zhang, Jing, Hu, Bifeng

“…Depth to bedrock influences or controls many of the Earth’s physical and chemical processes. It plays important roles in soil science, geology, hydrology, land…”
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Meta-LSTM in hydrology: Advancing runoff predictions through model-agnostic meta-learning by Cai, Kaixuan, He, Jinxin, Li, Qingliang, Shangguan, Wei, Li, Lu, Hu, Huiming

“…•Incorporating meta-learning into LSTM model reduces the overall PBIAS by 8.68%, improving the overall KGE by 7% compared to standard LSTM model.•Meta-LSTM…”
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Development of objective function-based ensemble model for streamflow forecasts by Lin, Yongen, Wang, Dagang, Zhu, Jinxin, Sun, Wei, Shen, Chaopeng, Shangguan, Wei

“…•Formulate two application-orientated objective functions for streamflow forecasting.•Develop an objective function-based ensemble model framework.•The…”
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Improving soil moisture prediction using a novel encoder-decoder model with residual learning by Li, Qingliang, Li, Zhongyan, Shangguan, Wei, Wang, Xuezhi, Li, Lu, Yu, Fanhua

“…•Skillful prediction of soil moisture (SM) is useful but great challenges exist.•A novel encoder-decoder LSTM model with residual learning (EDR-LSTM) is…”
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Heterogeneous data‐based spatiotemporal trajectory synchronization for virtual–real interactive testing by Qiu, Weizhi, ShangGuan, Wei, Cai, Baigen, Chai, Linguo

“…Virtual–real interactive testing (VRIT) is a practical approach to assessing the safety and intelligence of connected vehicles. Under this testing scheme,…”
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Parallel spatiotemporal slot-based heterogeneous vehicle hybrid coordinating method at intersections under intelligent network environment by Chai, Linguo, Liu, Xiangyan, ShangGuan, Wei, Wang, Jian, Cai, Baigen

“…Heterogeneous vehicles, which are with a mix of connected and automated vehicles (CAVs) and human pilot vehicles (HPVs), will move on the road together under…”
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Deep encoder–decoder-NN: A deep learning-based autonomous vehicle trajectory prediction and correction model by Hui, Fei, Wei, Cheng, ShangGuan, Wei, Ando, Ryosuke, Fang, Shan

“…An accurate vehicle trajectory prediction promotes understanding of the traffic environment and enables task criticality assessment in advanced driver…”
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Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling by Yuan, Hua, Dai, Yongjiu, Xiao, Zhiqiang, Ji, Duoying, Shangguan, Wei

“…Land surface and climate modelling requires continuous and consistent Leaf Area Index (LAI). High spatiotemporal resolution and long-time record data are more…”
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A global soil data set for earth system modeling by Shangguan, Wei, Dai, Yongjiu, Duan, Qingyun, Liu, Baoyuan, Yuan, Hua

“…We developed a comprehensive, gridded Global Soil Dataset for use in Earth System Models (GSDE) and other applications. The GSDE provides soil information,…”
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Development of a China Dataset of Soil Hydraulic Parameters Using Pedotransfer Functions for Land Surface Modeling by Dai, Yongjiu, Shangguan, Wei, Duan, Qingyun, Liu, Baoyuan, Fu, Suhua, Niu, Guoyue

“…The objective of this study is to develop a dataset of the soil hydraulic parameters associated with two empirical soil functions (i.e., a water retention…”
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A Predictive Maintenance Strategy for a Single Device Based on Remaining Useful Life Prediction Information: A Case Study on Railway Gyroscope by Wang, Zongyao, Shangguan, Wei, Peng, Cong, Meng, Yueyue, Chai, Linguo, Cai, Baigen

“…Predictive maintenance (PdM) strategies constitute an essential component of Prognostics and Health Management (PHM), enhancing device safety and availability…”
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