Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Mohamed Salah Salhi"'
Publikováno v:
Diagnostyka, Vol 23, Iss 1, Pp 1-7 (2022)
Continuous monitoring and proper diagnosis of production systems are daily concerns that involve many manufacturers. In this context, this paper proposes a feasible and effective diagnostic methodology. It is based on a recurrent dynamic neural model
Externí odkaz:
https://doaj.org/article/37a3c79d1da04b6d9ace9f29e837a57e
Autor:
El Manaa Barhoumi, Mohamed Salah Salhi, Paul C. Okonkwo, Ikram Ben Belgacem, Slah Farhani, Manaf Zghaibeh, Faouzi Bacha
Publikováno v:
International Journal of Hydrogen Energy. 48:9529-9539
Publikováno v:
Energy Harvesting and Systems. 9:123-132
The industrial Supervising Control and Data Acquisition, referred by SCADA system, tends to improve its accuracy in detecting faults. In that, it uses fault diagnosis models based mostly on probabilistic methods with close uncertainties. These models
Publikováno v:
Archives of Agronomy and Soil Science. 69:119-134
Salinity and low nitrogen availability are two major abiotic stresses that often coexist and disturb plant productivity. This study aimed at investigating the combined effects of salinity (0 and 10...
Publikováno v:
SSRN Electronic Journal.
We propose new approach for facial recognition based on an Evolutionary Deep-indicators Algorithm. The main purpose of this strategy is to reach a model which can compete with human vision sensibility. This optimized model revolves around a facial ch
Publikováno v:
2016 4th International Conference on Control Engineering & Information Technology (CEIT).
This paper presents a rotor bars Modeling. The rotor of an Electrical asynchronous machine is modeled by an equivalent electrical diagram related to the squirrel-cage connected together electrically and coupled magnetically, the frequencies character
Publikováno v:
Journal of Multimedia Processing and Technologies. 10:1
Publikováno v:
International Journal of Computer Applications. 60:12-20
In this paper, we describe the formatting guidelines for IJCA Journal Submission. The SOM, for kohonen Self Organizing Map, has proven to be a classifier of high caliber in the field of speech recognition signals breasts. Thus, several versions and e
Publikováno v:
International Journal of Advanced Computer Science and Applications. 7
This paper aims to contribute in modeling and implementation, over a system on chip SoC, of a powerful technique for phonemes recognition in continuous speech. A neural model known by its efficiency in static data recognition, named SOM for self orga
Publikováno v:
2015 7th International Conference on Modelling, Identification and Control (ICMIC).
This paper presents an intelligent strategy for anomaly detection in induction machines using the map SOM. It involves the most significant parameters of SOM, such as the topological structure of the map, the Kohonen learning algorithm, the activity