Search scope:
排序: Display mode:
Hybrid Bayesian Network Method for Predicting Intrusion
Wang Liangmin, Ma Jianfeng
Strategic Study of CAE 2008, Volume 10, Issue 8, Pages 87-96
To solve the open problem of predicting intrusion in Reactive IntrusionFirstly, an intrusion model is presented, which pays its emphasis on the influence of the intrusion uponthe system and describes the intrusion as the state transition process of the attackers' capabilityThe intrusion model is appropriate to trig the reactive intrusion tolerance system.In the end, the efficiency of the intrusion model and hybrid Bayesian network in predicting intrusion
Keywords: intrusion tolerance alert correlation intrusion model intrusion prediction
Hazard and vulnerability evaluation of water distribution system in cases of contamination intrusion
Kunlun XIN, Tao TAO, Yong WANG, Suiqing LIU
Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 6, Pages 839-848 doi: 10.1007/s11783-012-0409-8
Keywords: water distribution network hazard vulnerability contaminant accident
Theoretical system for (large) deposit formed by smaller intrusion
Tang Zhongli,Jiao Jiangang and Yan Haiqing
Strategic Study of CAE 2015, Volume 17, Issue 2, Pages 4-18
The idea that most of the lager deposits were formed by smaller intrusion was firstly proposed onsummarizing the conception, connotation and category of the theory for large deposits formed by smaller intrusionThrough many studies on the ore genesis, we developed the idea of the large deposit formed by smaller intrusionthe deposit formed by intermediate-acidic magma, which is presented as mineralization at the head of intrusion(mineralization at the head of gas, liquid, mineral, fluid), and mineralization in the front of intrusion
Keywords: small intrusions forming large deposits;connotation;category;characteristics;metallogenic model
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
Title Author Date Type Operation
Hazard and vulnerability evaluation of water distribution system in cases of contamination intrusion
Kunlun XIN, Tao TAO, Yong WANG, Suiqing LIU
Journal Article
Theoretical system for (large) deposit formed by smaller intrusion
Tang Zhongli,Jiao Jiangang and Yan Haiqing
Journal Article
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