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Suspicious electric consumption detection based on multi-profiling using live machine learning.

, , , , , , and . SmartGridComm, page 891-896. IEEE, (2015)

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Self-Testable Components: From Pragmatic Tests to Design-for-Testability Methodology., , and . TOOLS (29), page 96-107. IEEE Computer Society, (1999)Model-Driven Engineering for Requirements Analysis., , and . EDOC, page 459-466. IEEE Computer Society, (2007)Producing a Global Requirement Model from Multiple Requirement Specifications., , , , and . EDOC, page 390-404. IEEE Computer Society, (2007)Towards automated testing and fixing of re-engineered feature models., , , , and . ICSE, page 1245-1248. IEEE Computer Society, (2013)Towards flexible evolution of Dynamically Adaptive Systems., , , , , , , and . ICSE, page 1353-1356. IEEE Computer Society, (2012)Access control enforcement testing., , , and . AST, page 64-70. IEEE Computer Society, (2013)Business and Information System Alignment: A Formal Solution for Telecom Services., , , , and . ICSEA, page 278-283. IEEE Computer Society, (2010)Model-Based Testing for the Cloud., , , , , , , , and . Practical Software Testing: Tool Automation and Human Factors, volume 10111 of Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, (2010)Flattening or not of the combinatorial interaction testing models?, , and . ICST Workshops, page 1-4. IEEE Computer Society, (2015)FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps., , , , , , , , and . PLDI, page 29. ACM, (2014)