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Data-Driven Model Falsification and Uncertainty Quantification for Fractured Reservoirs Article
Junling Fang, Bin Gong, Jef Caers
Engineering 2022, Volume 18, Issue 11, Pages 116-128 doi: 10.1016/j.eng.2022.04.015
Keywords: Bayesian evidential learning Falsification Fractured reservoir Random forest Approximate Bayesian computation
Frontiers in Energy 2022, Volume 16, Issue 2, Pages 277-291 doi: 10.1007/s11708-021-0731-6
Keywords: sooting tendency yield sooting index Bayesian multiple kernel learning surrogate assessment surrogate
Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential
Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD, Wen-Jing GU
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2, Pages 490-505 doi: 10.1007/s11709-020-0669-5
Keywords: seismic soil liquefaction Bayesian belief network cone penetration test parameter learning structurallearning
A new constrained maximum margin approach to discriminative learning of Bayesian classifiers None
Ke GUO, Xia-bi LIU, Lun-hao GUO, Zong-jie LI, Zeng-min GENG
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 5, Pages 639-650 doi: 10.1631/FITEE.1700007
Keywords: Discriminative learning Statistical modeling Bayesian pattern classifiers Gaussian mixture models UCI
IN2CLOUD: A novel concept for collaborative management of big railway data
Jing LIN, Uday KUMAR
Frontiers of Engineering Management 2017, Volume 4, Issue 4, Pages 428-436 doi: 10.15302/J-FEM-2017048
Keywords: railway intelligent asset management collaborative learning big data hybrid cloud Bayesian
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
Keywords: Bayesian belief network seismically induced soil liquefaction interpretive structural modeling lateral
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
Keywords: pedestrian flow model bi-directional interactions empirical studies Bayesian inference
Active Machine Learning for Chemical Engineers: A Bright Future Lies Ahead! Perspective
Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, Kevin De Ras, Maarten K. Sabbe, Guy B. Marin, Kevin M. Van Geem
Engineering 2023, Volume 27, Issue 8, Pages 23-30 doi: 10.1016/j.eng.2023.02.019
By combining machine learning with the design of experiments, thereby achieving so-called active machinelearning, more efficient and cheaper research can be conducted.While active machine learning algorithms are maturing, their applications are falling behind.In this article, three types of challenges presented by active machine learning—namely, convincingA bright future lies ahead for active machine learning in chemical engineering, thanks to increasing
Keywords: Active machine learning Active learning Bayesian optimization Chemical engineering Design of experiments
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1685-1
● A hydrodynamic-Bayesian inference model was developed for water
Keywords: Identification of pollution sources Water quality restoration Bayesian inference Hydrodynamic model
Bayesian Optimization for Field-Scale Geological Carbon Storage
Xueying Lu, Kirk E. Jordan, Mary F. Wheeler, Edward O. Pyzer-Knapp, Matthew Benatan
Engineering 2022, Volume 18, Issue 11, Pages 96-104 doi: 10.1016/j.eng.2022.06.011
We present a framework that couples a high-fidelity compositional reservoir simulator with BayesianFurthermore, IPARS is coupled to the International Business Machines (IBM) Corporation BayesianBO builds a probabilistic surrogate for the objective function using a Bayesian machine learning algorithm
Keywords: Compositional flow Bayesian optimization Geological carbon storage CCUS Machine learning AI for
Evaluation of Corporate Sustainability
Panitas Sureeyatanapas,Jian-Bo Yang,David Bamford
Frontiers of Engineering Management 2014, Volume 1, Issue 2, Pages 176-194 doi: 10.15302/J-FEM-2014025
Keywords: corporate organization sustainability evidential reasoning evaluation assessment
Data Centric Design: A New Approach to Design of Microstructural Material Systems Article
Wei Chen, Akshay Iyer, Ramin Bostanabad
Engineering 2022, Volume 10, Issue 3, Pages 89-98 doi: 10.1016/j.eng.2021.05.022
Keywords: Materials informatics Machine learning Microstructure Reconstruction Bayesian optimization Mixed-variable
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
Keywords: monitoring Local discriminant regularized soft k-means clustering Kernel support vector data description Bayesian
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
Keywords: abnormal aluminum electrolysis cell condition Fuzzy-Bayesian network multi-source knowledge solidification
Decentralised energy and its performance assessment models
Ting WU, Dong-Ling XU, Jian-Bo YANG
Frontiers of Engineering Management 2021, Volume 8, Issue 2, Pages 183-198 doi: 10.1007/s42524-020-0148-7
Keywords: decentralised energy assessment model MCDA evidential reasoning sensitivity analysis
Title Author Date Type Operation
Data-Driven Model Falsification and Uncertainty Quantification for Fractured Reservoirs
Junling Fang, Bin Gong, Jef Caers
Journal Article
An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency
Journal Article
Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential
Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD, Wen-Jing GU
Journal Article
A new constrained maximum margin approach to discriminative learning of Bayesian classifiers
Ke GUO, Xia-bi LIU, Lun-hao GUO, Zong-jie LI, Zeng-min GENG
Journal Article
IN2CLOUD: A novel concept for collaborative management of big railway data
Jing LIN, Uday KUMAR
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
Active Machine Learning for Chemical Engineers: A Bright Future Lies Ahead!
Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, Kevin De Ras, Maarten K. Sabbe, Guy B. Marin, Kevin M. Van Geem
Journal Article
Identification of pollution sources in rivers using a hydrodynamic diffusion wave model and improved Bayesian-Markov
Journal Article
Bayesian Optimization for Field-Scale Geological Carbon Storage
Xueying Lu, Kirk E. Jordan, Mary F. Wheeler, Edward O. Pyzer-Knapp, Matthew Benatan
Journal Article
Evaluation of Corporate Sustainability
Panitas Sureeyatanapas,Jian-Bo Yang,David Bamford
Journal Article
Data Centric Design: A New Approach to Design of Microstructural Material Systems
Wei Chen, Akshay Iyer, Ramin Bostanabad
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