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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
SinoSCORE: a logistically derived additive prediction model for post-coronary artery bypass grafting
Zhe Zheng, Lu Zhang, Xi Li, Shengshou Hu, on behalf of the Chinese CABG Registry Study
Frontiers of Medicine 2013, Volume 7, Issue 4, Pages 477-485 doi: 10.1007/s11684-013-0284-0
Keywords: coronary artery bypass grafting risk stratification in-hospital mortality
Analysis of GM(1,1)Model and Its Application in Fire Risk Prediction
Chen Zijin,Wang Fuliang,Lu Shouxiang
Strategic Study of CAE 2007, Volume 9, Issue 5, Pages 91-94
Theoretical analysis of grey prediction model GM(1, 1) is present in Example applications of the criterion in fire risk grey prediction are discussed.
Keywords: fire forecast GM(1 1) rate of the fire injured
Understanding and addressing the environmental risk of microplastics
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 1, doi: 10.1007/s11783-023-1612-5
Keywords: Emerging contaminants Microplastics Environment risk Health effect
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
Ecological Risk Management of Drinking Water Project: The Case Study of Kunming City
Ji-liang Zheng,Jun Hu,Xuan Zhou,Ching Yuen Luk
Frontiers of Engineering Management 2015, Volume 2, Issue 3, Pages 311-319 doi: 10.15302/J-FEM-2015045
Keywords: drinking water project ecological risk ecological risk assessment risk management
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
Risk Matrix Method and Its Application in the Field of Technical Project Risk Management
Zhu Qichao,Kuang Xinghua,Shen Yongping
Strategic Study of CAE 2003, Volume 5, Issue 1, Pages 89-94
Technical project risk management has always been given great concern by the Department of DefenseThis paper systematically introduces risk matrix and its application, which is one of the most popularrisk management technologies in the field of DoD acquisition projects risk management.As a conclusion, this paper evaluates the usability of risk matrix when to be used to assess and mitigaterisk management.
Keywords: risk matrix risk management project management
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
Bioaerosol emissions variations in large-scale landfill region and their health risk impacts
Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 12, doi: 10.1007/s11783-022-1593-9
● The airborne bacteria in landfills were 4–50 times higher than fungi.
Keywords: Microbial aerosols Landfill sites Health risk assessment CALPUFF
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
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
Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis
Journal Article
SinoSCORE: a logistically derived additive prediction model for post-coronary artery bypass grafting
Zhe Zheng, Lu Zhang, Xi Li, Shengshou Hu, on behalf of the Chinese CABG Registry Study
Journal Article
Analysis of GM(1,1)Model and Its Application in Fire Risk Prediction
Chen Zijin,Wang Fuliang,Lu Shouxiang
Journal Article
Ecological Risk Management of Drinking Water Project: The Case Study of Kunming City
Ji-liang Zheng,Jun Hu,Xuan Zhou,Ching Yuen Luk
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
Risk Matrix Method and Its Application in the Field of Technical Project Risk Management
Zhu Qichao,Kuang Xinghua,Shen Yongping
Journal Article
Trend prediction technology of condition maintenance for large water injection units
Xiaoli XU, Sanpeng DENG
Journal Article
Bioaerosol emissions variations in large-scale landfill region and their health risk impacts
Journal Article
Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework
Journal Article