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Data-Driven and Model-Based Methods for Fault Detection and Diagnosis

1, 2020

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Myopericytoma: an uncommon chest wall tumor

Revue des maladies respiratoires, 2010-11, Vol.27 (9), p.1089

2010

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Le myopéricytome : une tumeur exceptionnelle de la paroi thoracique

Revue des maladies respiratoires, 2010-11, Vol.27 (9), p.1089-1091

2010

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Effect of in vitro gastrointestinal digestion on antioxidant potential of three prickly pear variety extracts

Acta alimentaria (Budapest), 2018-09, Vol.47 (3), p.333-339

2018

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Features extraction and classification of ECG beats using CWT combined to RBF neural network optimized by cuckoo search via levy flight

2015 4th International Conference on Electrical Engineering (ICEE), 2015, p.1-4

2015

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On the Vertex-Distinguishing Proper Edge-Colorings of Graphs

Journal of combinatorial theory. Series B, 1999-03, Vol.75 (2), p.288-301

1999

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Partitioning vertices of 1-tough graphs into paths

Theoretical computer science, 2001, Vol.263 (1), p.255-261

2001

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A note on the vertex-distinguishing proper coloring of graphs with large minimum degree

Discrete mathematics, 2001-06, Vol.236 (1), p.37-42

2001

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Cyclability of 3-connected graphs

Journal of graph theory, 2000-07, Vol.34 (3), p.191-203

2000

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Distance-Dominating Cycles in Quasi Claw-Free Graphs

Graphs and combinatorics, 1999-01, Vol.15 (3), p.279-285

1999

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Fault detection of uncertain nonlinear process using interval-valued data-driven approach

Chemical engineering science, 2019-09, Vol.205, p.36-45

2019

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Lamé's system in large size domains: Existence, asymptotic behaviour and explicit solution

Journal of mathematical analysis and applications, 2024-08, Vol.536 (2), p.128223, Article 128223

2024

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Hidden Markov model based principal component analysis for intelligent fault diagnosis of wind energy converter systems

Renewable energy, 2020-05, Vol.150, p.598-606

2020

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On the application of interval PCA to process monitoring: A robust strategy for sensor FDI with new efficient control statistics

Journal of process control, 2018-03, Vol.63, p.29-46

2018

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Midpoint-radii principal component analysis -based EWMA and application to air quality monitoring network

Chemometrics and intelligent laboratory systems, 2018-04, Vol.175, p.55-64

2018

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A Hybrid Approach for Process Monitoring: Improving Data-Driven Methodologies With Dataset Size Reduction and Interval-Valued Representation

IEEE sensors journal, 2020-09, Vol.20 (17), p.10228-10239

2020

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New reduced kernel PCA for fault detection and diagnosis in cement rotary kiln

Chemometrics and intelligent laboratory systems, 2020-09, Vol.204, p.104091, Article 104091

2020

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Fault detection of uncertain chemical processes using interval partial least squares-based generalized likelihood ratio test

Information sciences, 2019-07, Vol.490, p.265-284

2019

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Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems

European journal of control, 2021-05, Vol.59, p.313-321

2021

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Trend analysis of precipitation records using an innovative trend methodology in a semi-arid Mediterranean environment: Cheliff Watershed Case (Northern Algeria)

Theoretical and applied climatology, 2021-05, Vol.144 (3-4), p.1001-1015

2021

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Wavelet optimized EWMA for fault detection and application to photovoltaic systems

Solar energy, 2018-06, Vol.167, p.125-136

2018

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Machine Learning-Based Reduced Kernel PCA Model for Nonlinear Chemical Process Monitoring

Journal of control, automation & electrical systems, 2020-10, Vol.31 (5), p.1196-1209

2020

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Phytochemical Profiles and Biological Activities of Frankenia Species: A Review

Molecules (Basel, Switzerland), 2024-02, Vol.29 (5), p.980

2024

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Sensor fault detection based on principal component analysis for interval-valued data

Quality engineering, 2018-10, Vol.30 (4), p.635-647

2018

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Bifidobacterium longum and Lactobacillus helveticus Synergistically Suppress Stress-related Visceral Hypersensitivity Through Hypothalamic-Pituitary-Adrenal Axis Modulation

Journal of neurogastroenterology and motility, 2018-01, Vol.24 (1), p.138-146

2018

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Data-Driven and Model-Based Methods for Fault Detection and Diagnosis

Myopericytoma: an uncommon chest wall tumor

Le myopéricytome : une tumeur exceptionnelle de la paroi thoracique

Effect of in vitro gastrointestinal digestion on antioxidant potential of three prickly pear variety extracts

Features extraction and classification of ECG beats using CWT combined to RBF neural network optimized by cuckoo search via levy flight

On the Vertex-Distinguishing Proper Edge-Colorings of Graphs

Partitioning vertices of 1-tough graphs into paths

A note on the vertex-distinguishing proper coloring of graphs with large minimum degree

Cyclability of 3-connected graphs

Distance-Dominating Cycles in Quasi Claw-Free Graphs

Fault detection of uncertain nonlinear process using interval-valued data-driven approach

Lamé's system in large size domains: Existence, asymptotic behaviour and explicit solution

Hidden Markov model based principal component analysis for intelligent fault diagnosis of wind energy converter systems

On the application of interval PCA to process monitoring: A robust strategy for sensor FDI with new efficient control statistics

Midpoint-radii principal component analysis -based EWMA and application to air quality monitoring network

A Hybrid Approach for Process Monitoring: Improving Data-Driven Methodologies With Dataset Size Reduction and Interval-Valued Representation

New reduced kernel PCA for fault detection and diagnosis in cement rotary kiln

Fault detection of uncertain chemical processes using interval partial least squares-based generalized likelihood ratio test

Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems

Trend analysis of precipitation records using an innovative trend methodology in a semi-arid Mediterranean environment: Cheliff Watershed Case (Northern Algeria)

Wavelet optimized EWMA for fault detection and application to photovoltaic systems

Machine Learning-Based Reduced Kernel PCA Model for Nonlinear Chemical Process Monitoring

Phytochemical Profiles and Biological Activities of Frankenia Species: A Review

Sensor fault detection based on principal component analysis for interval-valued data

Bifidobacterium longum and Lactobacillus helveticus Synergistically Suppress Stress-related Visceral Hypersensitivity Through Hypothalamic-Pituitary-Adrenal Axis Modulation

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