Browsing Chemical Engineering by Subject "deep learning"
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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 ... -
Application of Deep Learning in Chemical Processes: Explainability, Monitoring and Observability
(University of Waterloo, 2022-01-04)The last decade has seen remarkable advances in speech, image, and language recognition tools that have been made available to the public through computer and mobile devices’ applications. Most of these significant ... -
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 ...