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Browsing University of Waterloo by Supervisor "Zhu, Qinqin"
Now showing items 1-5 of 5
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Anomaly Detection and Classification with Deep Learning Techniques
(University of Waterloo, 2022-03-30)The capability of deep learning (DL) techniques for dealing with non-linear, dynamic and correlated data has paved the way for developing DL-based solutions for real-world problems. Among them, anomaly detection has been ... -
Dynamic Latent Structured Data Analytics for Process Modeling and Monitoring
(University of Waterloo, 2023-10-11)With the advent of Industry 4.0, variable relations in modern industrial processes are increasingly complex due to their high dimensions and complex auto-correlations and cross-correlations. Multivariate statistical methods ... -
Improved Dynamic Latent Variable Modeling for Process Monitoring, Fault Diagnosis and Anomaly Detection
(University of Waterloo, 2024-01-04)Due to the rapid advancement of modern industrial processes, a considerable number of measured variables enhance the complexity of systems, progressively leading to the development of multivariate statistical analysis (MSA) ... -
Machine Learning-Based Time Series Modelling with Applications for Forecasting Regional Wind Power and Air Quality Index
(University of Waterloo, 2021-08-27)Recently, time series forecasting has acquired a considerable academic and industrial interest in various areas for different applications. Machine learning (ML) algorithms are known for their ability to capture the chaotic ... -
Optimal Processing Pathway for Sludge-to-Energy Technologies: A Superstructure Optimization-Based MINLP Model
(University of Waterloo, 2022-04-27)The perception of sewage sludge has been increasingly changing from being a waste, that is a burden to the environment and society, to a useful resource of materials and renewable energy. There are several available ...