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Select papers from the M&C 2023 special issue
Securing Anomaly Detection for Process-Based Time Series
Tyler Lewisa Purdue University, Nuclear Engineering, West Lafayette, IndianaCorrespondence[email protected]
https://orcid.org/0000-0003-1786-9637View further author information
https://orcid.org/0000-0003-1786-9637View further author information, Arvind Sundarama Purdue University, Nuclear Engineering, West Lafayette, Indianahttps://orcid.org/0000-0003-1662-5120View further author information
https://orcid.org/0000-0003-1662-5120View further author information, Ahmad Y. Al Rashdanb Idaho National Laboratory, Nuclear Science and Technology, Idaho Falls, Idahohttps://orcid.org/0000-0002-9682-3137View further author information
https://orcid.org/0000-0002-9682-3137View further author information & Hany S. Abdel-Khalika Purdue University, Nuclear Engineering, West Lafayette, Indianahttps://orcid.org/0000-0002-7078-5611View further author information
https://orcid.org/0000-0002-7078-5611View further author information