Yuan Yao

Orcid: 0000-0002-0025-6175

Affiliations:
  • National Tsing Hua University, Department of Chemical Engineering, Hsinchu, Taiwan


According to our database1, Yuan Yao authored at least 31 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Advance industrial monitoring of physio-chemical processes using novel integrated machine learning approach.
J. Ind. Inf. Integr., 2024

A hierarchical granger causality analysis framework based on information of redundancy for root cause diagnosis of process disturbances.
Comput. Chem. Eng., 2024

Deep learning model predictive control of a high-density polyethylene reactor with a physics-guided sequence-to-sequence model with memory.
Comput. Chem. Eng., 2024

2023
Generative Deep Learning-Based Thermographic Inspection of Artwork.
Sensors, July, 2023

Deep Autoencoder Thermography for Defect Detection of Carbon Fiber Composites.
IEEE Trans. Ind. Informatics, May, 2023

Convolutional Neural Network-Based Machine Vision for Non-Destructive Detection of Flooding in Packed Columns.
Sensors, March, 2023

Semi-Supervised Process Data Regression and Application Based on Latent Factor Analysis Model.
IEEE Trans. Instrum. Meas., 2023

2022
Convolutional Graph Thermography for Subsurface Defect Detection in Polymer Composites.
IEEE Trans. Instrum. Meas., 2022

Thermographic Imaging in Cultural Heritage: A Short Review.
Sensors, 2022

Electroencephalograph-based emotion recognition using convolutional neural network without manual feature extraction.
Appl. Soft Comput., 2022

Signal Enhancement in Defect Detection of CFRP Material Using a Combination of Difference of Gaussian Convolutions and Sparse Principal Component Thermography.
IEEE Access, 2022

Brain Controlled Manipulator System Based on Improved Target Detection and Augmented Reality Technology.
Proceedings of the Human Brain and Artificial Intelligence - Third International Workshop, 2022

2021
Thermographic Data Analysis for Defect Detection by Imposing Spatial Connectivity and Sparsity Constraints in Principal Component Thermography.
IEEE Trans. Ind. Informatics, 2021

Actively Exploring Informative Data for Smart Modeling of Industrial Multiphase Flow Processes.
IEEE Trans. Ind. Informatics, 2021

Multiscale Analysis of Solar Loading Thermographic Signals for Wall Structure Inspection.
Sensors, 2021

A Personalized Feature Extraction and Classification Method for Motor Imagery Recognition.
Mob. Networks Appl., 2021

2020
Generative Principal Component Thermography for Enhanced Defect Detection and Analysis.
IEEE Trans. Instrum. Meas., 2020

Multiview Learning for Subsurface Defect Detection in Composite Products: A Challenge on Thermographic Data Analysis.
IEEE Trans. Ind. Informatics, 2020

Spatial-Neighborhood Manifold Learning for Nondestructive Testing of Defects in Polymer Composites.
IEEE Trans. Ind. Informatics, 2020

Physically Consistent Soft-Sensor Development Using Sequence-to-Sequence Neural Networks.
IEEE Trans. Ind. Informatics, 2020

Causal Network Analysis and Fault Root Point Detection Based on Symbolic Transfer Entropy.
Proceedings of the Bio-inspired Information and Communication Technologies, 2020

Personalized EEG Feature Extraction Method Based on Filter Bank and Elastic Network.
Proceedings of the Bio-inspired Information and Communication Technologies, 2020

2019
Orthogonal Locality Preserving Projections Thermography for Subsurface Defect Detection.
Proceedings of the CAA Symposium on Fault Detection, 2019

2018
Sparse Principal Component Thermography for Subsurface Defect Detection in Composite Products.
IEEE Trans. Ind. Informatics, 2018

Fault Detection, Isolation, and Prognosis for Complex System.
J. Control. Sci. Eng., 2018

Transfer of Qualitative and Quantitative Knowledge for Similar Batch Process Monitoring.
IEEE Access, 2018

2017
Multivariate Fault Isolation in Presence of Outliers Based on Robust Nonnegative Garrote.
Proceedings of the Intelligent Computing, Networked Control, and Their Engineering Applications, 2017

A Method of Ridge-NNG-Based Multivariate Fault Isolation in Presentence of Collinearity.
Proceedings of the Intelligent Computing, Networked Control, and Their Engineering Applications, 2017

2015
Iterative improvement of parameter estimation for model migration by means of sequential experiments.
Comput. Chem. Eng., 2015

2014
An edge-based optimization method for shape recognition using atomic potential function.
Eng. Appl. Artif. Intell., 2014

2009
A survey on multistage/multiphase statistical modeling methods for batch processes.
Annu. Rev. Control., 2009


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