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Anomaly Detection for the Prediction of Ultimate Tensile Strength in Iron Casting Production.

, , , и . DEXA (2), том 6861 из Lecture Notes in Computer Science, стр. 519-526. Springer, (2011)

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Nieves Alvarez

Nieves Jimeno

Nieves María Gabrielli

Nieves María Gabrielli

Javier Manero

 

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MADS: Malicious Android Applications Detection through String Analysis., , , , , и . NSS, том 7873 из Lecture Notes in Computer Science, стр. 178-191. Springer, (2013)Anomaly Detection for the Prediction of Ultimate Tensile Strength in Iron Casting Production., , , и . DEXA (2), том 6861 из Lecture Notes in Computer Science, стр. 519-526. Springer, (2011)Enhanced Foundry Production Control., , , , и . DEXA (1), том 6261 из Lecture Notes in Computer Science, стр. 213-220. Springer, (2010)Data Leak Prevention through Named Entity Recognition., , , , , и . SocialCom/PASSAT, стр. 1129-1134. IEEE Computer Society, (2010)Idea: Opcode-Sequence-Based Malware Detection., , , , , , и . ESSoS, том 5965 из Lecture Notes in Computer Science, стр. 35-43. Springer, (2010)Recognizing Banknote Patterns for Protecting Economic Transactions., , и . DEXA Workshops, стр. 247-249. IEEE Computer Society, (2010)Study on the effectiveness of anomaly detection for spam filtering., , , , , и . Inf. Sci., (2014)Optimising Machine-Learning-Based Fault Prediction in Foundry Production., , , и . IWANN (2), том 5518 из Lecture Notes in Computer Science, стр. 554-561. Springer, (2009)Instance-based Anomaly Method for Android Malware Detection., , , , , и . SECRYPT, стр. 387-394. SciTePress, (2013)Mechanical properties prediction in high-precision foundry production., , , , , и . INDIN, стр. 31-36. IEEE, (2009)