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Control chart pattern recognition for imbalanced data based on multi-feature fusion using convolutional neural network
16 references·6 citing·23 second hop
Control chart pattern recognition for imbalanced data based on multi-feature fusion using convolutional neural network (2023)Control chart pattern recognition for imb…Control chart recognition based on the parallel model of CNN and LSTM with GA optimization (2021)Control chart recognition bas…A cost-sensitive convolution neural network learning for control chart pattern recognition (2020)A cost-sensitive convolution …Control chart pattern recognition using the convolutional neural network (2019)Control chart pattern recogni…Control chart pattern recognition using RBF neural network with new training algorithm and practical features (2018)Control chart pattern recogni…Statistical process control using optimized neural networks: A case study (2013)Statistical process control u…Recognition of concurrent control chart patterns using wavelet transform decomposition and multiclass support vector machines (2013)Recognition of concurrent con…A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme (2012)A survey of control-chart pat…Mixture control chart patterns recognition using independent component analysis and support vector machine (2011)Mixture control chart pattern…An expert system for control chart pattern recognition (2011)An expert system for control …Application of the PSO–SVM model for recognition of control chart patterns (2010)Application of the PSO–SVM mo…Recognition of control chart patterns using improved selection of features (2008)Recognition of control chart …Feature-based recognition of control chart patterns (2006)Feature-based recognition of …A study on the various features for effective control chart pattern recognition (2006)A study on the various featur…Improved SPC chart pattern recognition using statistical features (2003)Improved SPC chart pattern re…Control Chart Pattern Recognition Using Artificial Neural Networks (2000)Control Chart Pattern Recogni…Feature-based control chart pattern recognition (1997)Feature-based control chart p…A review of artificial intelligence impacting statistical process monitoring and future directions (2026)A review of artificial intell…Explainable AI for trustworthy intelligent process monitoring (2025)Explainable AI for trustworth…Using the attention layer mechanism in construction of a novel ratio control chart: An application to Ethereum price prediction and automated trading strategy (2024)Using the attention layer mec…Control chart pattern recognition under small shifts based on multi-scale weighted ordinal pattern and ensemble classifier (2024)Control chart pattern recogni…A nonparametric adaptive EWMA control chart for monitoring multivariate time-between-events-and-amplitude data (2024)A nonparametric adaptive EWMA…A nonparametric adaptive EWMA control chart for monitoring mixed continuous and categorical data using self-starting strategy (2024)A nonparametric adaptive EWMA…The Shewhart Control Chart—Tests for Special Causes (1984)Introduction to Statistical Quality Control (1992)Introduction to Statistical Quality Control (2001)A New Automatic Method for Control Chart Patterns Recognition Based on ConvNet and Harris Hawks Meta Heuristic Optimization Algorithm (2019)Quality Control and Industrial Statistics. (1967)Statistical Quality Control (1990)Recognition of control chart patterns using fuzzy SVM with a hybrid kernel function (2015)Support vector machine in statistical process monitoring: a methodological and analytical review (2016)Design of Experiments (1936)Taguchi Techniques for Quality Engineering (1989)Introduction to Statistical Quality Control (2005)Economic Control of Quality of Manufactured Product. (1932)Control Chart Tests Based on Geometric Moving Averages (1959)Measurement errors in statistical process monitoring: A literature review (2016)Understanding the impacts of mobile phone distraction on driving performance: A systematic review (2016)Development of fuzzy process control charts and fuzzy unnatural pattern analyses (2006)A Novel Machine Learning Approach Combined with Optimization Models for Eco-efficiency Evaluation (2020)A novel artificial intelligent approach: comparison of machine learning tools and algorithms based on optimization DEA Malmquist productivity index for eco-efficiency evaluation (2021)Control Chart Tests Based on Geometric Moving Averages (2000)Statistical Process Control with Intelligence Based on the Deep Learning Model (2019)Product backorder prediction using deep neural network on imbalanced data (2021)Application of Machine Learning in Statistical Process Control Charts: A Survey and Perspective (2021)A decade of research on machine learning techniques for predicting employee turnover: A systematic literature review (2023)
this work references cited by second hop

References

  • 2003Improved SPC chart pattern recognition using statistical features175 cited
  • 2010Application of the PSO–SVM model for recognition of control chart patterns148 cited
  • 2012A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme145 cited
  • 1997Feature-based control chart pattern recognition130 cited
  • 2019Control chart pattern recognition using the convolutional neural network114 cited
  • 2018Control chart pattern recognition using RBF neural network with new training algorithm and practical features111 cited
  • 2020A cost-sensitive convolution neural network learning for control chart pattern recognition97 cited
  • 2008Recognition of control chart patterns using improved selection of features97 cited
  • 2006Feature-based recognition of control chart patterns89 cited
  • 2013Recognition of concurrent control chart patterns using wavelet transform decomposition and multiclass support vector machines82 cited
  • 2011Mixture control chart patterns recognition using independent component analysis and support vector machine77 cited
  • 2006A study on the various features for effective control chart pattern recognition54 cited
  • 2011An expert system for control chart pattern recognition53 cited
  • 2000Control Chart Pattern Recognition Using Artificial Neural Networks

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51 cited
  • 2013Statistical process control using optimized neural networks: A case study47 cited
  • 2021Control chart recognition based on the parallel model of CNN and LSTM with GA optimization46 cited
  • Cited by

    • 2025Explainable AI for trustworthy intelligent process monitoring26 cited
    • 2024A nonparametric adaptive EWMA control chart for monitoring mixed continuous and categorical data using self-starting strategy23 cited
    • 2024A nonparametric adaptive EWMA control chart for monitoring multivariate time-between-events-and-amplitude data16 cited
    • 2024Control chart pattern recognition under small shifts based on multi-scale weighted ordinal pattern and ensemble classifier15 cited
    • 2024Using the attention layer mechanism in construction of a novel ratio control chart: An application to Ethereum price prediction and automated trading strategy15 cited
    • 2026A review of artificial intelligence impacting statistical process monitoring and future directions12 cited