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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
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
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
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 4, Pages 523-535 doi: 10.1007/s11705-021-2083-5
Keywords: solubility prediction machine learning artificial neural network random decision forests
The prediction of adsorption isotherms of ester vapors on hypercrosslinked polymeric adsorbent
Liuyan WU,Lijuan JIA,Xiaohan LIU,Chao LONG
Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 3, Pages 482-490 doi: 10.1007/s11783-015-0826-6
Keywords: hypercrosslinked polymeric adsorbent adsorption isotherm ester prediction
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1667-3
● Hybrid deep-learning model is proposed for water quality prediction
Keywords: Water quality prediction Soft-sensor Anaerobic process Tree-structured Parzen Estimator
An energy consumption prediction approach of die casting machines driven by product parameters
Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4, Pages 868-886 doi: 10.1007/s11465-021-0656-0
Keywords: die casting machine energy consumption prediction product parameters
A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1688-y
● A novel VMD-IGOA-LSTM model has proposed for the prediction of
Keywords: Water quality prediction Grasshopper optimization algorithm Variational mode decomposition Long short-term
GLOBAL GENOMIC PREDICTION IN HORTICULTURAL CROPS: PROMISES, PROGRESS, CHALLENGES AND OUTLOOK
Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 2,
Horticultural crops are a major source of high value nutritious food, and new improved cultivars developed through breeding are required for sustainable production in the face of abiotic and biotic stresses, and to deliver novel, premium products to consumers. However, grower confidence in the performance of new germplasm, particularly across environmental variability, is important for commercial adoption and germplasm-environment matching to optimize production.
Title Author Date Type Operation
Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis
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
Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework
Journal Article
Liquefaction prediction using support vector machine model based on cone penetration data
Pijush SAMUI
Journal Article
Machine learning-based solubility prediction and methodology evaluation of active pharmaceutical ingredients
Journal Article
The prediction of adsorption isotherms of ester vapors on hypercrosslinked polymeric adsorbent
Liuyan WU,Lijuan JIA,Xiaohan LIU,Chao LONG
Journal Article
Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured
Journal Article
An energy consumption prediction approach of die casting machines driven by product parameters
Journal Article
A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM
Journal Article