Anomaly detection methods for unmanned underwater vehicle performance data

Anomaly detection methods for unmanned underwater vehicle performance data

Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2015.

Bibliographic Details
Main Author: Harris, William Ray
Other Authors: Michael J. Ricard and Cynthia Rudin.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2015
Subjects:
Operations Research Center.
Online Access:http://hdl.handle.net/1721.1/98718

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