Industrial Process Monitoring Deep Probabilistic Principal Component Analysis for Process Monitoring. April 23, 2024
Additive Manufacturing | Material Science Monitoring of Single-Track Melting States Based on Photodiode Signal during Laser Powder Bed Fusion. December 23, 2023
Biological wastewater treatment | Machine Learning | Process Monitoring 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). July 4, 2023
Chemistry | Process Monitoring VAE-Based Interpretable Latent Variable Model for Process Monitoring. June 13, 2023
Chemical Engineering | Process Engineering A Novel Spatiotemporal Process Feature Learning Method Based On the Pseudo-Siamese Network for Complex Chemical Process Concurrent Condition Monitoring. October 25, 2022
Chemical Engineering | Process Control | Quality Control Integrating Autoencoder and Heteroscedastic Noise Neural Networks for the Batch Process Soft-Sensor Design. September 20, 2022
Material Science | Welding technology A Novel Approach to the Holistic 3D Characterization of Weld Seams-Paving the Way for Deep Learning-Based Process Monitoring. November 27, 2021
Chemical Engineering Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring. January 14, 2021
Other Whole Process Monitoring Based on Unstable Neuron Output Information in Hidden Layers of Deep Belief Network. December 23, 2019
Process Monitoring Active features extracted by deep belief network for process monitoring. February 15, 2019
Data Science | Environmental Engineering | Statistical Analysis Statistical monitoring of a wastewater treatment plant: A case study. November 5, 2018