Resource Type

Journal Article 186

Year

2023 15

2022 17

2021 10

2020 15

2019 16

2018 13

2017 19

2016 9

2015 6

2014 5

2013 10

2012 6

2011 8

2010 6

2009 6

2008 3

2007 4

2006 1

2004 2

2003 3

open ︾

Keywords

compressive strength 4

concrete 4

Gaussian mixture model 3

Gaussian process 3

artificial neural network 3

Gaussian process regression (GPR) 2

adsorption 2

animal models 2

asphalt mixture 2

load growth 2

load models 2

machine learning 2

optimization 2

1 1

1-ethyl-3-methylimidazolium trifluoromethanesulfonate 1

3-propanediol 1

3D topographies measurement 1

-convexity 1

L&natur 1

open ︾

Search scope:

排序： Display mode:

Simulation and analysis of grinding wheel based on Gaussian mixture model

Yulun CHI, Haolin LI

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 427-432 doi: 10.1007/s11465-012-0350-3

Abstract: The Gaussian mixture model (GMM) is used to transform the measured non-Gaussian field to Gaussian fields

Keywords： grinding wheel     3D topographies measurement     Gaussian mixture model     simulation    

HTML PDF Collect

Performance monitoring of non-gaussian chemical processes with modes-switching using globality-locality

Xin Peng, Yang Tang, Wenli Du, Feng Qian

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 429-439 doi: 10.1007/s11705-017-1675-6

Abstract: based on modified structure analysis and globality and locality preserving (MSAGL) projection, for non-Gaussianlocality preserving projection to analyze the embedding geometrical manifold and extracting the non-Gaussian

Keywords： non-Gaussian processes     subspace projection     independent component analysis     locality preserving projection     finite mixture model    

HTML PDF Collect

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

Abstract: We applied the proposed CMM approach to learn Bayesian classifiers based on Gaussian mixture models,

Keywords： Discriminative learning     Statistical modeling     Bayesian pattern classifiers     Gaussian mixture models     UCI    

HTML PDF Collect

An adaptive data-driven method for accurate prediction of remaining useful life of rolling bearings

Yanfeng PENG, Junsheng CHENG, Yanfei LIU, Xuejun LI, Zhihua PENG

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 301-310 doi: 10.1007/s11465-017-0449-7

Abstract:

A novel data-driven method based on Gaussian mixture model (GMM) and distance evaluation technique

Keywords： Gaussian mixture model     distance evaluation technique     health state     remaining useful life     rolling bearing    

HTML PDF Collect

ApproximateGaussian conjugacy: parametric recursive filtering under nonlinearity,multimodality, uncertainty, and constraint, and beyond Review

Tian-cheng LI, Jin-ya SU, Wei LIU, Juan M. CORCHADO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12,   Pages 1913-1939 doi: 10.1631/FITEE.1700379

Abstract: Kalman in the 1960s, considerable efforts have been devoted to time series state space models for a largethat seek analytical estimates based on a closed-form Markov–Bayes recursion, e.g., recursion from a Gaussianor Gaussian mixture (GM) prior to a Gaussian/GM posterior (termed ‘Gaussian conjugacy’ in this papermultimodality (including target maneuver), intractable uncertainties (such as unknown inputs and/or non-Gaussianmixture posterior and maneuvers, and intractable unknown inputs and constraints, to fill some gaps in

Keywords： Kalman filter     Gaussian filter     Time series estimation     Bayesian filtering     Nonlinear filtering     Constrainedfiltering     Gaussian mixture     Maneuver     Unknown inputs    

HTML PDF Collect

A study on quality evaluation for bituminous mixture using X-ray CT

Satoshi TANIGUCHI, Keiichiro OGAWA, Jun OTANI, Itaru NISHIZAKI

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2,   Pages 89-101 doi: 10.1007/s11709-013-0197-7

Abstract: The objective of this paper is to propose a new quality evaluation method for asphalt concrete mixtureIn the mixture examination, histograms of CT-value and four segmentation images made from CT images expressedthe material and mixture characterization such as particle size and the difference in bitumen contentand mixture type visibly and the bitumen content varies with the threshold values.

Keywords： asphalt concrete mixture     aggregate     bitumen     bitumen content     quality evaluation     X-ray CT    

HTML PDF Collect

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2,   Pages 133-136 doi: 10.1007/s11709-013-0202-1

Abstract: This article examines the capability of Gaussian process regression (GPR) for prediction of effectivecomparative study has been carried out between the developed GPR and Artificial Neural Network (ANN) models

Keywords： unsaturated soil     effective stress parameter     Gaussian process regression (GPR)     artificial neural network    

HTML PDF Collect

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

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: This paper describes an inverse Gaussian process-based model to characterize the growth of metal-loss

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

HTML PDF Collect

Fatigue of asphalt binder, mastic and mixture at low temperature

Dong WANG, Linbing WANG, Guoqing ZHOU

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 2,   Pages 166-175 doi: 10.1007/s11709-012-0157-7

Abstract: experiment method is developed to evaluate the performances of asphalt binder, mastic and fine aggregates mixtureThe micro-structure analysis of mastic and mixture indicates that the fatigue resistance is closely relatedspecimen. 3D digital specimens are developed to model the fatigue of the asphalt binder, mastic and mixture

Keywords： fatigue     asphalt mixture     asphalt binder     mastic     finite element method (FEM)     X-ray tomography    

HTML PDF Collect

operation in the presence of different random noises and uncertainty: Implementation of generalized Gaussian

Nasser L. AZAD,Ahmad MOZAFFARI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 405-412 doi: 10.1007/s11465-015-0354-x

Abstract: Then, by using a Gaussian process regression machine (GPRM), a reliable model is used for the sake of

Keywords： automotive engine     calibration     coldstart operation     Gaussian process regression machine (GPRM)     uncertainty    

HTML PDF Collect

prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian

Frontiers in Energy doi: 10.1007/s11708-023-0906-4

Abstract: prediction accuracy of the RUL of LIBs, a two-phase RUL early prediction method combining neural network and Gaussian

Keywords： lithium-ion batteries     RUL prediction     double exponential model     neural network     Gaussian process regression    

HTML PDF Collect

Impacts of climate change on optimal mixture design of blended concrete considering carbonation and chloride

Xiao-Yong WANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 473-486 doi: 10.1007/s11709-020-0608-5

Abstract: Many studies on the mixture design of fly ash and slag ternary blended concrete have been conducted.This study presents a procedure for the optimal mixture design of ternary blended concrete consideringSecond, strength, slump, carbonation, and chloride ingress models are used to evaluate concrete propertiesA genetic algorithm is used to find the optimal mixture considering various constraints.Third, illustrative examples are shown for mixture design of ternary blended concrete.

Keywords： ternary blended concrete     climate change     optimal mixture design     carbonation     chloride ingress    

HTML PDF Collect

Simulation of abrasive flow machining process for 2D and 3D mixture models

Rupalika DASH,Kalipada MAITY

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 424-432 doi: 10.1007/s11465-015-0366-6

Abstract: Two phases were considered for the flow analysis, and multiphase mixture model was taken into account

Keywords： abrasive flow machining (AFM)     computational fluid dynamics (CFD) modeling     mixture model    

HTML PDF Collect

Experimental study on capturing CO 2 greenhouse gas by mixture of ammonia and soil

Ying WU, Yifei WANG, Qinghua ZENG, Xin GONG, Zunhong YU,

Frontiers of Chemical Science and Engineering 2009, Volume 3, Issue 4,   Pages 468-473 doi: 10.1007/s11705-009-0257-7

Abstract: This paper presents our study on removal of carbon dioxide (CO) greenhouse gas emissions by using the mixture

Keywords： electron microscopy     product     physical adsorption     capacity     spectroscopy    

HTML PDF Collect

Spacecraft damage infrared detection algorithm for hypervelocity impact based on double-layer multi-target segmentation Research Article

Xiao YANG, Chun YIN, Sara DADRAS, Guangyu LEI, Xutong TAN, Gen QIU,yinchun.86416@163.com,chunyin@uestc.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4,   Pages 571-586 doi: 10.1631/FITEE.2000695

Abstract: To detect spacecraft damage caused by hypervelocity impact, we propose an advanced spacecraft defect extraction algorithm based on infrared imaging detection. The (GMM) is used to classify the temperature change characteristics in the sampled data of the infrared video stream and reconstruct the image to obtain the infrared reconstructed image (IRRI) reflecting the defect characteristics. The designed segmentation objective function is used to ensure the effectiveness of results for noise removal and detail preservation, while taking into account the complexity of IRRI (that is, the required trade-offs are different). A multi-objective optimization algorithm is introduced to achieve balance between detail preservation and noise removal, and a multi-objective evolutionary algorithm based on decomposition (MOEA/D) is used for optimization to ensure damage segmentation accuracy. Experimental results verify the effectiveness of the proposed algorithm.

Keywords： Hypervelocity impact damage     Defect detection     Gaussian mixture model     Image segmentation    

HTML PDF Collect

Title Author Date Type Operation

Simulation and analysis of grinding wheel based on Gaussian mixture model

Yulun CHI, Haolin LI

Journal Article

Performance monitoring of non-gaussian chemical processes with modes-switching using globality-locality

Xin Peng, Yang Tang, Wenli Du, Feng Qian

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

An adaptive data-driven method for accurate prediction of remaining useful life of rolling bearings

Yanfeng PENG, Junsheng CHENG, Yanfei LIU, Xuejun LI, Zhihua PENG

Journal Article

ApproximateGaussian conjugacy: parametric recursive filtering under nonlinearity,multimodality, uncertainty, and constraint, and beyond

Tian-cheng LI, Jin-ya SU, Wei LIU, Juan M. CORCHADO

Journal Article

A study on quality evaluation for bituminous mixture using X-ray CT

Satoshi TANIGUCHI, Keiichiro OGAWA, Jun OTANI, Itaru NISHIZAKI

Journal Article

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Journal Article

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

Hao QIN, Shenwei ZHANG, Wenxing ZHOU

Journal Article

Fatigue of asphalt binder, mastic and mixture at low temperature

Dong WANG, Linbing WANG, Guoqing ZHOU

Journal Article

operation in the presence of different random noises and uncertainty: Implementation of generalized Gaussian

Nasser L. AZAD,Ahmad MOZAFFARI

Journal Article

prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian

Journal Article

Impacts of climate change on optimal mixture design of blended concrete considering carbonation and chloride

Xiao-Yong WANG

Journal Article

Simulation of abrasive flow machining process for 2D and 3D mixture models

Rupalika DASH,Kalipada MAITY

Journal Article

Experimental study on capturing CO 2 greenhouse gas by mixture of ammonia and soil

Ying WU, Yifei WANG, Qinghua ZENG, Xin GONG, Zunhong YU,

Journal Article

Spacecraft damage infrared detection algorithm for hypervelocity impact based on double-layer multi-target segmentation

Xiao YANG, Chun YIN, Sara DADRAS, Guangyu LEI, Xutong TAN, Gen QIU,yinchun.86416@163.com,chunyin@uestc.edu.cn

Journal Article