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Process Monitoring with Global–Local Preserving Projections

Industrial & engineering chemistry research, 2014-05, Vol.53 (18), p.7696-7705

Luo, Lijia

2014

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Tensor Global-Local Preserving Projections for Batch Process Monitoring

Industrial & engineering chemistry research, 2014-06, Vol.53 (24), p.10166-10176

2014

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Impact of Land Input on Economic Growth at Different Stages of Development in Chinese Cities and Regions

Sustainability (Basel, Switzerland), 2018-08, Vol.10 (8), p.2847

2018

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Posterior staphyloma is associated with the microvasculature and microstructure of myopic eyes

Graefe's archive for clinical and experimental ophthalmology, 2021-08, Vol.259 (8), p.2119-2130

2021

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Hydrodynamics and mass transfer characteristics in an internal loop airlift reactor with different spargers

Chemical engineering journal (Lausanne, Switzerland : 1996), 2011-11, Vol.175, p.494-504

2011

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Investigation on multilayer failure mechanism of RPV with a high temperature gradient from core meltdown scenario

Nuclear engineering and design, 2016-12, Vol.310, p.39-47

2016

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Investigation of shedding patterns and its influences on lift performances of a cylinder bundle in cross flow

Journal of Mechanical Science and Technology, 2019, 33(6), , pp.2651-2663

2019

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The influence of the crust layer on RPV structural failure under severe accident condition

Nuclear engineering and design, 2017-05, Vol.316, p.63-74

2017

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Gut Microbiome Changes Associated With HIV Infection and Sexual Orientation

Frontiers in cellular and infection microbiology, 2020-09, Vol.10, p.434-434

2020

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Monitoring Uneven Multistage/Multiphase Batch Processes using Trajectory‐Based Fuzzy Phase Partition and Hybrid MPCA Models

Canadian journal of chemical engineering, 2019-01, Vol.97 (1), p.178-187

Luo, Lijia

2019

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Knowledge-data-integrated sparse modeling for batch process monitoring

Chemical engineering science, 2018-11, Vol.189, p.221-232

2018

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Trajectory‐based phase partition and multiphase multilinear models for monitoring and quality prediction of multiphase batch processes

Journal of chemometrics, 2018-07, Vol.32 (7), p.n/a

Luo, Lijia

2018

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Identification of flow regime transitions in an annulus sparged internal loop airlift reactor based on higher order statistics and Winger trispectrum

Chemical engineering science, 2011-11, Vol.66 (21), p.5224-5235

2011

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A derivative-free algorithm for nonlinear equations and its applications in multibody dynamics

Journal of algorithms & computational technology, 2018-03, Vol.12 (1), p.30-42

2018

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Sparse Robust Principal Component Analysis with Applications to Fault Detection and Diagnosis

Industrial & engineering chemistry research, 2019-01, Vol.58 (3), p.1300-1309

2019

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Time–Frequency Analysis Based Flow Regime Identification Methods for Airlift Reactors

Industrial & engineering chemistry research, 2012-05, Vol.51 (20), p.7104-7112

2012

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Monitoring of industrial processes using robust global–local preserving projection

Journal of chemometrics, 2020-09, Vol.34 (9), p.n/a

2020

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Nanozymes-Engineered Metal–Organic Frameworks for Catalytic Cascades-Enhanced Synergistic Cancer Therapy

Nano letters, 2019-08, Vol.19 (8), p.5674-5682

2019

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CFD simulations to portray the bubble distribution and the hydrodynamics in an annulus sparged air-lift bioreactor

Canadian journal of chemical engineering, 2011-04, Vol.89 (2), p.360-368

2011

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Distributed Statistical Process Monitoring Based on Multiblock Canonical Correlation Analysis

Industrial & engineering chemistry research, 2020-01, Vol.59 (3), p.1193-1201

2020

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Adaptive Selection of Latent Variables for Process Monitoring

Industrial & engineering chemistry research, 2019-05, Vol.58 (21), p.9075-9086

2019

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A multigroup framework for fault detection and diagnosis in large-scale multivariate systems

Journal of process control, 2021-04, Vol.100, p.65-79

2021

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Robust and sparse canonical correlation analysis for fault detection and diagnosis using training data with outliers

Expert systems with applications, 2024-02, Vol.236, p.121434, Article 121434

2024

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Robust monitoring of industrial processes using process data with outliers and missing values

Chemometrics and intelligent laboratory systems, 2019-09, Vol.192, p.103827, Article 103827

2019

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A multigroup fault detection and diagnosis framework for large-scale industrial systems using nonlinear multivariate analysis

Expert systems with applications, 2022-11, Vol.206, p.117859, Article 117859

2022

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Process Monitoring with Global–Local Preserving Projections

Tensor Global-Local Preserving Projections for Batch Process Monitoring

Impact of Land Input on Economic Growth at Different Stages of Development in Chinese Cities and Regions

Posterior staphyloma is associated with the microvasculature and microstructure of myopic eyes

Hydrodynamics and mass transfer characteristics in an internal loop airlift reactor with different spargers

Investigation on multilayer failure mechanism of RPV with a high temperature gradient from core meltdown scenario

Investigation of shedding patterns and its influences on lift performances of a cylinder bundle in cross flow

The influence of the crust layer on RPV structural failure under severe accident condition

Gut Microbiome Changes Associated With HIV Infection and Sexual Orientation

Monitoring Uneven Multistage/Multiphase Batch Processes using Trajectory‐Based Fuzzy Phase Partition and Hybrid MPCA Models

Knowledge-data-integrated sparse modeling for batch process monitoring

Trajectory‐based phase partition and multiphase multilinear models for monitoring and quality prediction of multiphase batch processes

Identification of flow regime transitions in an annulus sparged internal loop airlift reactor based on higher order statistics and Winger trispectrum

A derivative-free algorithm for nonlinear equations and its applications in multibody dynamics

Sparse Robust Principal Component Analysis with Applications to Fault Detection and Diagnosis

Time–Frequency Analysis Based Flow Regime Identification Methods for Airlift Reactors

Monitoring of industrial processes using robust global–local preserving projection

Nanozymes-Engineered Metal–Organic Frameworks for Catalytic Cascades-Enhanced Synergistic Cancer Therapy

CFD simulations to portray the bubble distribution and the hydrodynamics in an annulus sparged air-lift bioreactor

Distributed Statistical Process Monitoring Based on Multiblock Canonical Correlation Analysis

Adaptive Selection of Latent Variables for Process Monitoring

A multigroup framework for fault detection and diagnosis in large-scale multivariate systems

Robust and sparse canonical correlation analysis for fault detection and diagnosis using training data with outliers

Robust monitoring of industrial processes using process data with outliers and missing values

A multigroup fault detection and diagnosis framework for large-scale industrial systems using nonlinear multivariate analysis

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