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Publications (29)
- Non-negative matrix factorization combined with Fuzzy C-means enhanced k-nearest neighbor for fault detection and diagnosis in process industries Save
- Kernel matrix reduction using randomization and its implementation in different kernel techniques for real time industrial process monitoring Save
- Industrial process monitoring using support vector data description: A systematic review and application for fault detection in multiphase flow system Save
- Optimizing Process Monitoring Efficiency through Control Limit Adjustment in Multivariate EWMA Charts Save
- An integrated approach combining randomized kernel PCA, Gaussian mixture modeling and ICA for fault detection in non-linear processes Save
- Adaptive soft sensor design using a regression neural network and bias update strategy for non-linear industrial processes Save
- Machine learning approaches for data-driven process monitoring of biological wastewater treatment plant: A review of research works on benchmark simulation model No. 1(BSM1) Save
- Non-linear process monitoring using kernel principal component analysis: A review of the basic and modified techniques with industrial applications Save
- Machine Learning Approaches for Fault Detection in Semiconductor Manufacturing Process: A Critical Review of Recent Applications and Future Perspectives Save
- Adaptive non-linear soft sensor for quality monitoring in refineries using Just-in-Time Learning—Generalized regression neural network approach Save