Open AccessMultivariate Time Series Classification of Sensor Data from an Industrial Drying Hopper: A Deep Learning Approach
Author(s) -
Mushfiqur Rahman
Publication year - 2021
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.33915/etd.8309
Subject(s) - multivariate statistics , process (computing) , artificial intelligence , time series , fault detection and isolation , machine learning , binary classification , data mining , computer science , event (particle physics) , engineering , industrial engineering , series (stratigraphy) , deep learning , fault (geology) , support vector machine , paleontology , physics , quantum mechanics , seismology , actuator , biology , geology , operating system