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Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework
Frontiers of Structural and Civil Engineering Pages 994-1010 doi: 10.1007/s11709-023-0942-5
Keywords: dynamic prediction moving trajectory pipe jacking GRU deep learning
WANG Hongyan, RUI Qiang, HE Xiaojun
Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1, Pages 68-71 doi: 10.1007/s11465-007-0011-0
Keywords: dynamic simulation simulation software allusion influential material
Research on Direction and Location for Danger Prediction of Coal or Rock Dynamic Disaster
Xiao Hohgfei,He Xueqiu,Feng Tao,Wang Enyuan
Strategic Study of CAE 2005, Volume 7, Issue 11, Pages 81-86
Keywords: rock or coal dynamic disaster danger prediction direction and location deformation and fracture of coal
Xu Shaoxie
Strategic Study of CAE 2009, Volume 11, Issue 6, Pages 16-18
The characteristic of large scale and deep layer on dynamic force of
Keywords: Wenchuan Earthquake the characteristic of large scale and deep layer on dynamic force of earthquakeoccurrence earthquake prediction
A Probabilistic Architecture of Long-Term Vehicle Trajectory Prediction for Autonomous Driving Article
Jinxin Liu, Yugong Luo, Zhihua Zhong, Keqiang Li, Heye Huang, Hui Xiong
Engineering 2022, Volume 19, Issue 12, Pages 228-239 doi: 10.1016/j.eng.2021.12.020
In mixed and dynamic traffic environments, accurate long-term trajectory forecasting of surrounding, which consists of a driving inference model (DIM) and a trajectory prediction model (TPM).The DIM is designed and employed to accurately infer the potential driving intention based on a dynamicTo further improve the prediction accuracy and realize uncertainty estimation, we develop a GaussianThe superior performance on the task of long-term trajectory prediction is presented and verified by
Keywords: Autonomous driving Dynamic Bayesian network Driving intention recognition Gaussian process Vehicletrajectory prediction
Spatial prediction of soil contamination based on machine learning: a review
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1
● A review of machine learning (ML) for spatial prediction of soil
Keywords: Soil contamination Machine learning Prediction Spatial distribution
Frontiers of Medicine 2022, Volume 16, Issue 3, Pages 496-506 doi: 10.1007/s11684-021-0828-7
Keywords: XGBoost deep neural network healthcare risk prediction
Application and prospect of a new generation of numerical weather prediction system (GRAPES)
Chen Dehui,Xue Jishan,Shen Xueshun,Sun Jian,Wan Qilin,Jin Zhiyan,Li Xingliang
Strategic Study of CAE 2012, Volume 14, Issue 9, Pages 46-54
The global/regional assimilation and prediction system of a new generation
Keywords: numerical prediction weather forecast global/regional unified model dynamic framework data assimilation
Position-varying surface roughness prediction method considering compensated acceleration in milling
Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4, Pages 855-867 doi: 10.1007/s11465-021-0649-z
Keywords: surface roughness prediction compensated acceleration milling thin-walled workpiece
Improved prediction of pile bending moment and deflection due to adjacent braced excavation
Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0961-2
Keywords: pile responses excavation prediction deflection bending moments
Reliability prediction and its validation for nuclear power units in service
Jinyuan SHI,Yong WANG
Frontiers in Energy 2016, Volume 10, Issue 4, Pages 479-488 doi: 10.1007/s11708-016-0425-7
Keywords: nuclear power units in service reliability reliability prediction equivalent availability factors
Trend prediction technology of condition maintenance for large water injection units
Xiaoli XU, Sanpeng DENG
Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2, Pages 171-175 doi: 10.1007/s11465-009-0091-0
Keywords: water injection units condition-based maintenance trend prediction
Prediction of the shear wave velocity
Amoroso SARA
Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 1, Pages 83-92 doi: 10.1007/s11709-013-0234-6
Keywords: horizontal stress index shear wave velocity flat dilatometer test cone penetration test
Liquefaction prediction using support vector machine model based on cone penetration data
Pijush SAMUI
Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1, Pages 72-82 doi: 10.1007/s11709-013-0185-y
Keywords: earthquake cone penetration test liquefaction support vector machine (SVM) prediction
Title Author Date Type Operation
Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework
Journal Article
The prediction technology study of fatigue life for key parts of a tracked vehicle’s suspension system
WANG Hongyan, RUI Qiang, HE Xiaojun
Journal Article
Research on Direction and Location for Danger Prediction of Coal or Rock Dynamic Disaster
Xiao Hohgfei,He Xueqiu,Feng Tao,Wang Enyuan
Journal Article
phenomena based on the before Wenchuan Earthquake, the characteristic of large scale and deep layer on dynamic
Xu Shaoxie
Journal Article
A Probabilistic Architecture of Long-Term Vehicle Trajectory Prediction for Autonomous Driving
Jinxin Liu, Yugong Luo, Zhihua Zhong, Keqiang Li, Heye Huang, Hui Xiong
Journal Article
Hua Zhongsheng: Important Equipment Fault Prediction Method Based on Personalized Dynamic Degradation
华中生(高级职称)
20 Jan 2021
Conference Videos
Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis
Journal Article
Application and prospect of a new generation of numerical weather prediction system (GRAPES)
Chen Dehui,Xue Jishan,Shen Xueshun,Sun Jian,Wan Qilin,Jin Zhiyan,Li Xingliang
Journal Article
Position-varying surface roughness prediction method considering compensated acceleration in milling
Journal Article
Improved prediction of pile bending moment and deflection due to adjacent braced excavation
Journal Article
Reliability prediction and its validation for nuclear power units in service
Jinyuan SHI,Yong WANG
Journal Article
Trend prediction technology of condition maintenance for large water injection units
Xiaoli XU, Sanpeng DENG
Journal Article