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Results for "supervisors_tesim:"Jing, Yindi (Electrical and Computer Engineering)""
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Spring 2021
Nowadays, leakage detection is of great importance as pipelines are the major means of transporting hydrocarbon fluids and gases. In this thesis, we propose two methods based on supervised learning and filtering to deal with the pipeline leakage detection problem. First, a novel two-stage...
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