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Nasser L. AZAD,Ahmad MOZAFFARI
Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4, Pages 405-412 doi: 10.1007/s11465-015-0354-x
Keywords: automotive engine calibration coldstart operation Gaussian process regression machine (GPRM) uncertainty
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
Keywords: unsaturated soil effective stress parameter Gaussian process regression (GPR) artificial neural network
Frontiers in Energy doi: 10.1007/s11708-023-0906-4
Keywords: lithium-ion batteries RUL prediction double exponential model neural network Gaussian process regression
Identification of important factors influencing nonlinear counting systems Research Article
Xinmin ZHANG, Jingbo WANG, Chihang WEI, Zhihuan SONG,xinminzhang@zju.edu.cn,wangjingbobo@zju.edu.cn,chhwei@zju.edu.cn,songzhihuan@zju.edu.cn
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1, Pages 123-133 doi: 10.1631/FITEE.2000324
Keywords: Important factors Nonlinear counting system Generalized Gaussian process regression Sensitivity analysis Steel casting-rolling process
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
Keywords: pipeline metal-loss corrosion inverse Gaussian process measurement error hierarchical Bayesian Markov
Estimation of flexible pavement structural capacity using machine learning techniques
Nader KARBALLAEEZADEH, Hosein GHASEMZADEH TEHRANI, Danial MOHAMMADZADEH SHADMEHRI, Shahaboddin SHAMSHIRBAND
Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5, Pages 1083-1096 doi: 10.1007/s11709-020-0654-z
Keywords: transportation infrastructure flexible pavement structural number prediction Gaussian process regression
Shasha ZENG, Weiping PENG, Tiaoyu LEI
Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1, Pages 12-23 doi: 10.1007/s11465-019-0555-9
Keywords: distributed parameterized intelligent product platform generalized module isomorphism analysis product
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
Keywords: grinding wheel 3D topographies measurement Gaussian mixture model simulation
Novel method of constructing generalized Hoberman sphere mechanisms based on deployment axes
Xuemin SUN, Yan-An YAO, Ruiming LI
Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1, Pages 89-99 doi: 10.1007/s11465-019-0567-5
Keywords: deployable mechanism type II generalized angulated elements Hoberman sphere mechanism deployment axes
Hybrid-driven Gaussian process online learning for highly maneuvering multi-target tracking Research Article
Qiang GUO, Long TENG, Tianxiang YIN, Yunfei GUO, Xinliang WU, Wenming SONG
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11, Pages 1647-1656 doi: 10.1631/FITEE.2300348
Keywords: Target tracking Gaussian process Data-driven Online learning Model-driven Probabilistic data association
A hybrid-model optimization algorithm based on the Gaussian process and particle swarm optimization for Research Article
Han YAN, Chongquan ZHONG, Yuhu WU, Liyong ZHANG, Wei LU
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11, Pages 1557-1573 doi: 10.1631/FITEE.2200515
Keywords: Convolutional neural network Gaussian process Hybrid model Hyperparameter optimization Mixed-variable
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
Keywords: non-Gaussian processes subspace projection independent component analysis locality preserving projection
Huiquan Wu, Erik Read, Maury White, Brittany Chavez, Kurt Brorson, Cyrus Agarabi, Mansoor Khan
Frontiers of Chemical Science and Engineering 2015, Volume 9, Issue 3, Pages 386-406 doi: 10.1007/s11705-015-1533-3
Keywords: process analytical technology (PAT) Fourier-transform infrared (FTIR) spectroscopy partial least squares(PLS) regression mouse IgG3 bioreactor cell culture process real time process monitoring
Hassan YOUSEFI, Alireza TAGHAVI KANI, Iradj MAHMOUDZADEH KANI
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2, Pages 429-455 doi: 10.1007/s11709-018-0483-5
Keywords: central high resolution schemes RBFs higher order accuracy generalized thermoelasticity multiresolution-based
Real-Time Assessment and Diagnosis of Process Operating Performance
Shabnam Sedghi,Biao Huang
Engineering 2017, Volume 3, Issue 2, Pages 214-219 doi: 10.1016/J.ENG.2017.02.004
Over time, the performance of processes may deviate from the initial design due to process variationsnecessary to develop systematic methods for online optimality assessment based on routine operating processmulti-modal behavior of steady-state modes is tackled utilizing the mixture probabilistic principal component regression(MPPCR) method, and dynamic principal component regression (DPCR) is used to investigate transitionsFinally, the proposed method is tested on the Tennessee Eastman (TE) benchmark simulation process in
Keywords: Optimality assessment Probabilistic principal component regression Multi-mode
Title Author Date Type Operation
over coldstart operation in the presence of different random noises and uncertainty: Implementation of generalizedGaussian process regression machine
Nasser L. AZAD,Ahmad MOZAFFARI
Journal Article
Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach
Pijush Samui, Jagan J
Journal Article
prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussianprocess regression
Journal Article
Identification of important factors influencing nonlinear counting systems
Xinmin ZHANG, Jingbo WANG, Chihang WEI, Zhihuan SONG,xinminzhang@zju.edu.cn,wangjingbobo@zju.edu.cn,chhwei@zju.edu.cn,songzhihuan@zju.edu.cn
Journal Article
Inverse Gaussian process-based corrosion growth modeling and its application in the reliability analysis
Hao QIN, Shenwei ZHANG, Wenxing ZHOU
Journal Article
Estimation of flexible pavement structural capacity using machine learning techniques
Nader KARBALLAEEZADEH, Hosein GHASEMZADEH TEHRANI, Danial MOHAMMADZADEH SHADMEHRI, Shahaboddin SHAMSHIRBAND
Journal Article
Isomorphism analysis on generalized modules oriented to the distributed parameterized intelligent product
Shasha ZENG, Weiping PENG, Tiaoyu LEI
Journal Article
Simulation and analysis of grinding wheel based on Gaussian mixture model
Yulun CHI, Haolin LI
Journal Article
Novel method of constructing generalized Hoberman sphere mechanisms based on deployment axes
Xuemin SUN, Yan-An YAO, Ruiming LI
Journal Article
Hybrid-driven Gaussian process online learning for highly maneuvering multi-target tracking
Qiang GUO, Long TENG, Tianxiang YIN, Yunfei GUO, Xinliang WU, Wenming SONG
Journal Article
A hybrid-model optimization algorithm based on the Gaussian process and particle swarm optimization for
Han YAN, Chongquan ZHONG, Yuhu WU, Liyong ZHANG, Wei LU
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
Real time monitoring of bioreactor mAb IgG3 cell culture process dynamics via Fourier transform infraredspectroscopy: Implications for enabling cell culture process analytical technology?
Huiquan Wu, Erik Read, Maury White, Brittany Chavez, Kurt Brorson, Cyrus Agarabi, Mansoor Khan
Journal Article
Multiscale RBF-based central high resolution schemes for simulation of generalized thermoelasticity problems
Hassan YOUSEFI, Alireza TAGHAVI KANI, Iradj MAHMOUDZADEH KANI
Journal Article