Multivariate Time Series Classification of Sensor Data from an Industrial Drying Hopper: A Deep Learning Approach
Author(s) -
Md 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 , binary classification , data mining , series (stratigraphy) , machine learning , computer science , fault (geology) , engineering , industrial engineering , support vector machine , paleontology , seismology , actuator , biology , geology , operating system
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