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Documents publiés en "2017"

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Nombre de documents: 9

A

Aly, M., Yacout, S., & Shaban, Y. (janvier 2017). Analysis of massive industrial data using MapReduce framework for parallel processing [Communication écrite]. 63rd Annual Reliability and Maintainability Symposium (RAMS 2017), Orlando, FL (6 pages). Lien externe

J

Jocelyn, S., Chinniah, Y. A., Ouali, M.-S., & Yacout, S. (2017). Application of Logical Analysis of Data to Machinery-Related Accident Prevention Based on Scarce Data. Reliability Engineering & System Safety, 159, 223-236. Lien externe

L

Lopez-Soto, D., Angel-Bello, F., Yacout, S., & Alvarez, A. (2017). A multi-start algorithm to design a multi-class classifier for a multi-criteria ABC inventory classification problem. Expert Systems With Applications, 81, 12-21. Lien externe

R

Ragab, A., de Carné de Carnavalet, X., Yacout, S., & Ouali, M.-S. (2017). Face recognition using multi-class Logical Analysis of Data. Pattern Recognition and Image Analysis, 27(2), 276-288. Lien externe

Ragab, A., El-Koujok, M., Amazouz, M., & Yacout, S. (janvier 2017). Fault detection and diagnosis in the Tennessee Eastman Process using interpretable knowledge discovery [Communication écrite]. 63rd Annual Reliability and Maintainability Symposium (RAMS 2017), Orlando, FL, United states. Lien externe

Ragab, A., Yacout, S., Ouali, M.-S., & Osman, H. (2017). Pattern-based prognostic methodology for condition-based maintenance using selected and weighted survival curves. Quality and Reliability Engineering International, 33(8), 1753-1772. Lien externe

S

Shaban, Y., Yacout, S., & Aly, M. (janvier 2017). Condition-based reliability prediction based on logical analysis of survival data [Communication écrite]. 63rd Annual Reliability and Maintainability Symposium (RAMS 2017), Orlando, FL (6 pages). Lien externe

Shaban, Y., Yacout, S., Balazinski, M., & Jemielniak, K. (2017). Cutting tool wear detection using multiclass logical analysis of data. Machining Science and Technology, 21(4), 526-541. Lien externe

Y

Yacout, S., Salamanca, D., & Mortada, M.-A. (2017). Tool and method for fault detection of devices by condition based maintenance. (Brevet no US9824060). Lien externe

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