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Inverse Gaussian process-based corrosion growth modeling and its application in the reliability analysis for energy pipelines

Hao QIN, Shenwei ZHANG, Wenxing ZHOU

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 3,   Pages 276-287 doi: 10.1007/s11709-013-0207-9

Abstract: The model parameters are evaluated using the Bayesian methodology by combining the inspection data obtainedThe measurement errors associated with the ILI tools are considered in the Bayesian inference.

Keywords： pipeline     metal-loss corrosion     inverse Gaussian process     measurement error     hierarchical Bayesian     Markov    

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Evaluation of liquefaction-induced lateral displacement using Bayesian belief networks

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 80-98 doi: 10.1007/s11709-021-0682-3

Abstract: a novel probabilistic framework for evaluating liquefaction-induced lateral displacement using the Bayesian

Keywords： Bayesian belief network     seismically induced soil liquefaction     interpretive structural modeling     lateral    

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A Bayesian modeling approach to bi-directional pedestrian flows in carnival events

S. Q. XIE, S. C. WONG, William H. K. LAM

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 483-489 doi: 10.15302/J-FEM-2017023

Abstract: Bayesian inference was employed to calibrate the model by using prior data obtained from a previous controlled

Keywords： pedestrian flow model     bi-directional interactions     empirical studies     Bayesian inference    

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An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Frontiers in Energy 2022, Volume 16, Issue 2,   Pages 277-291 doi: 10.1007/s11708-021-0731-6

Abstract: values for surrogate fuels was proposed with the application of a machine learning method, named the Bayesian

Keywords： sooting tendency     yield sooting index     Bayesian multiple kernel learning     surrogate assessment     surrogate    

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Identification of pollution sources in rivers using a hydrodynamic diffusion wave model and improved Bayesian-Markov

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1685-1

Abstract:

● A hydrodynamic-Bayesian inference model was developed for water

Keywords： Identification of pollution sources     Water quality restoration     Bayesian inference     Hydrodynamic model    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: decision-tree-structured neural network, that is, the deep convolutional tree-inspired network (DCTN), for the hierarchicalnetwork (CNN) and decision tree methods by rebuilding the output decision layer of CNN according to the hierarchicalThe proposed DCTN model has unique advantages in 1) the hierarchical structure that can support moreaccuracy and comprehensive fault diagnosis, 2) the better interpretability of the model output with hierarchical

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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Combined reticular blind drainage and vertical hierarchical drainage system for landfills located in

Wenjing LU,Zhonge FU,Yan ZHAO

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 1,   Pages 177-184 doi: 10.1007/s11783-014-0710-9

Abstract: water control technology that combines the features of a reticular blind drainage system and a vertical hierarchicalThe vertical hierarchical drainage system was installed to separate rainfall water and leachate in theleachate derived from rainfall water and groundwater inflow was avoided upon installation of the vertical hierarchical

Keywords： landfill     reticular blind drain     vertical hierarchical drain     guidance and drainage     impermeable layer    

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A novel multimode process monitoring method integrating LDRSKM with Bayesian inference

Shi-jin REN,Yin LIANG,Xiang-jun ZHAO,Mao-yun YANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 8,   Pages 617-633 doi: 10.1631/FITEE.1400263

Abstract: A local discriminant regularized soft -means (LDRSKM) method with Bayesian inference is proposed forTwo Bayesian inference based global fault detection indicators are then developed using the local monitoringBased on clustering analysis, Bayesian inference and manifold learning methods, the within and cross-mode

Keywords： monitoring     Local discriminant regularized soft k-means clustering     Kernel support vector data description     Bayesian    

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A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 414-428 doi: 10.1007/s11705-017-1663-x

Abstract: In view of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidificationcause analysis by finding the abnormal state of root node, which has a maximum posterior probability by Bayesian

Keywords： abnormal aluminum electrolysis cell condition     Fuzzy-Bayesian network     multi-source knowledge solidification    

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Effect of hierarchical ZSM-5 zeolite crystal size on diffusion and catalytic performance of n-heptane

Shuman Xu, Xiaoxiao Zhang, Dangguo Cheng, Fengqiu Chen, Xiaohong Ren

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 4,   Pages 780-789 doi: 10.1007/s11705-018-1733-8

Abstract: Hierarchical ZSM-5 zeolite aggregates with different sizes of nanocrystals were synthesized using differentCracking over hierarchical zeolites with nanocrystal sizes larger than about 50 nm took place under transition-limitingconditions, whereas the reaction over hierarchical zeolites with nanocrystal sizes of 15 or 30 nm proceededHierarchical ZSM-5 zeolite aggregates with smaller nanocrystals had better selectivity for light olefins

Keywords： hierarchical ZSM-5     crystal size     catalytic cracking     Thiele modulus     effectiveness factor    

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Image meshing via hierarchical optimization

Hao XIE,Ruo-feng TONG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 1,   Pages 32-40 doi: 10.1631/FITEE.1500171

Abstract: To ameliorate this situation, we present a hierarchical optimization algorithm solving the problem from

Keywords： Image meshing     Hierarchical optimization     Convexification    

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Facile synthesis of hierarchical flower-like Ag/Cu

Mengyun Wang, Shengbo Zhang, Mei Li, Aiguo Han, Xinli Zhu, Qingfeng Ge, Jinyu Han, Hua Wang

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 5,   Pages 813-823 doi: 10.1007/s11705-019-1854-8

Abstract: Novel, hierarchical, flower-like Ag/Cu O and Au/Cu O nanostructures were successfully fabricated andBy varying the Ag/Cu atomic ratio, Ag /Cu O, having a hierarchical, flower-like nanostructure with intersectingevolution rate was achieved with Ag /Cu O due to the larger electroactive surface area furnished by the hierarchicalThe same hierarchical flower-like structure was also obtained for the Au /Cu O composite, where the FEThis study presents a facile method of developing hierarchical metal-oxide composites as efficient and

Keywords： bimetallic nanostructure     hierarchical metal/oxide nanomaterial     galvanic replacement     electrochemical reduction    

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Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 367-376 doi: 10.1007/s11465-017-0429-y

Abstract:

A new hierarchical parameter estimation method for doubly fed induction generator (DFIG) and drive

Keywords： wind turbine generator     DFIG     drive train system     hierarchical parameter estimation method     trajectory sensitivity    

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The Immense Impact of Reverse Edges on Large Hierarchical Networks

Haosen Cao,Bin-Bin Hu,Xiaoyu Mo,Duxin Chen,Jianxi Gao,Ye Yuan,Guanrong Chen,Tamás Vicsek,Xiaohong Guan,Hai-Tao Zhang,

Engineering doi: 10.1016/j.eng.2023.06.011

Abstract: Hierarchical networks are frequently encountered in animal groups, gene networks, and artificial engineeringThe structure of a large directed hierarchical network is often strongly influenced by reverse edgesThis study reveals that, for most large-scale real hierarchical networks, the majority of the reverseMore surprisingly, a single effective reverse edge can slow down the synchronization of a huge hierarchicalOur study also proposes an effective way to attack a hierarchical network by adding a malicious reverse

Keywords： Synchronizability     Large hierarchical networks     Reverse edges     Information flows     Complex networks    

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Erratum to: Synthesis of hierarchical nanohybrid CNT@Ni-PS and its applications in enhancing the tribological

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 10,   Pages 1530-1530 doi: 10.1007/s11705-022-2240-5

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Title Author Date Type Operation

Inverse Gaussian process-based corrosion growth modeling and its application in the reliability analysis for energy pipelines

Hao QIN, Shenwei ZHANG, Wenxing ZHOU

Journal Article

Evaluation of liquefaction-induced lateral displacement using Bayesian belief networks

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD

Journal Article

A Bayesian modeling approach to bi-directional pedestrian flows in carnival events

S. Q. XIE, S. C. WONG, William H. K. LAM

Journal Article

An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Journal Article

Identification of pollution sources in rivers using a hydrodynamic diffusion wave model and improved Bayesian-Markov

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article

Combined reticular blind drainage and vertical hierarchical drainage system for landfills located in

Wenjing LU,Zhonge FU,Yan ZHAO

Journal Article

A novel multimode process monitoring method integrating LDRSKM with Bayesian inference

Shi-jin REN,Yin LIANG,Xiang-jun ZHAO,Mao-yun YANG

Journal Article

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Journal Article

Effect of hierarchical ZSM-5 zeolite crystal size on diffusion and catalytic performance of n-heptane

Shuman Xu, Xiaoxiao Zhang, Dangguo Cheng, Fengqiu Chen, Xiaohong Ren

Journal Article

Image meshing via hierarchical optimization

Hao XIE,Ruo-feng TONG

Journal Article

Facile synthesis of hierarchical flower-like Ag/Cu

Mengyun Wang, Shengbo Zhang, Mei Li, Aiguo Han, Xinli Zhu, Qingfeng Ge, Jinyu Han, Hua Wang

Journal Article

Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Journal Article

The Immense Impact of Reverse Edges on Large Hierarchical Networks

Haosen Cao,Bin-Bin Hu,Xiaoyu Mo,Duxin Chen,Jianxi Gao,Ye Yuan,Guanrong Chen,Tamás Vicsek,Xiaohong Guan,Hai-Tao Zhang,

Journal Article

Erratum to: Synthesis of hierarchical nanohybrid CNT@Ni-PS and its applications in enhancing the tribological

Journal Article