@article {7202,
	title = {Tifinagh Handwriting Character Recognition Using a CNN Provided as a Web Service},
	journal = {International Journal of Cloud Applications and Computing (IJCAC)},
	volume = {12},
	number = {1},
	year = {2022},
	abstract = {Many cloud providers offer very high precision services to exploit Optical Character Recognition (OCR). However, there is no provider offers Tifinagh Optical Character Recognition (OCR) as Web Services. Several works have been proposed to build powerful Tifinagh OCR. Unfortunately, there is no one developed as a Web Service. In this paper, we present a new architecture of Tifinagh Handwriting Recognition as a web service based on a deep learning model via Google Colab. For the implementation of our proposal, we used the new version of the TensorFlow library and a very large database of Tifinagh characters composed of 60,000 images from the Mohammed Vth University in Rabat. Experimental results show that the TensorFlow library based on a Tensor processing unit constitutes a very promising framework for developing fast and very precise Tifinagh OCR web services. The results show that our method based on convolutional neural network outperforms existing methods based on support vector machines and extreme learning machine.},
	url = {https://www.igi-global.com/article/tifinagh-handwriting-character-recognition-using-a-cnn-provided-as-a-web-service/297093},
	author = {Ouahab KADRI and Benyahia, Abderrezak and Abdelhadi, Adel}
}
@article {62475,
	title = {Tifinagh Handwriting Character Recognition Using a CNN Provided as a Web Service},
	journal = {International Journal of Cloud Applications and Computing (IJCAC)},
	volume = {12},
	year = {2022},
	month = {2022},
	pages = {1-17},
	abstract = {
	Many cloud providers offer very high precision services to exploit Optical Character Recognition (OCR). However, there is no provider offers Tifinagh Optical Character Recognition (OCR) as Web Services. Several works have been proposed to build powerful Tifinagh OCR. Unfortunately, there is no one developed as a Web Service. In this paper, we present a new architecture of Tifinagh Handwriting Recognition as a web service based on a deep learning model via Google Colab. For the implementation of our proposal, we used the new version of the TensorFlow library and a very large database of Tifinagh characters composed of 60,000 images from the Mohammed Vth University in Rabat. Experimental results show that the TensorFlow library based on a Tensor processing unit constitutes a very promising framework for developing fast and very precise Tifinagh OCR web services. The results show that our method based on convolutional neural network outperforms existing methods based on support vector machines and extreme learning machine.

},
	url = {https://www.igi-global.com/article/tifinagh-handwriting-character-recognition-using-a-cnn-provided-as-a-web-service/297093},
	author = {Ouahab KADRI and Benyahia, Abderrezak and Abdelhadi, Adel}
}
@mastersthesis {7311,
	title = {Vers une Approche des Syst{\`e}mes Multi-Agents et M{\'e}thodes d\&rsquo;Emergence pour la Maintenance Syst{\'e}matique},
	year = {2021},
	type = {Doctorat en sciences  },
	abstract = {
	L{\textquoteright}objectif principal de notre th{\`e}se est de proposer des approches hybride bas{\'e}es sur les SMA d{\textquoteright}un c{\^o}t{\'e}, et l{\textquoteright}exploitation de m{\'e}thodes d{\textquoteright}{\'e}mergences tels que les Algorithmes G{\'e}n{\'e}tiques (AG) et les algorithmes du Syst{\`e}me Immunitaire Artificiel (SIA), pour mieux int{\'e}grer des politiques de maintenance pr{\'e}ventive syst{\'e}matique dans les ateliers d{\textquoteright}ordonnancement. L{\textquoteright}objectif est de minimiser les temps d{\textquoteright}ex{\'e}cutions pendant le d{\'e}roulement de l{\textquoteright}ordonnancement. Nous avons utilis{\'e} des op{\'e}rateurs avanc{\'e}s tels que ; la cl{\'e} al{\'e}atoire pour le codage, la s{\'e}lection de classement, le croisement uniforme et la mutation ponctuelle unique. Par ailleurs, nous avons d{\'e}fini une nouvelle proc{\'e}dure de calcul d{\textquoteright}affinit{\'e} dans le cadre de l{\textquoteright}approche FSHMAIA. Cette proc{\'e}dure est bas{\'e}e sur le calcul d{\textquoteright}un rapport de similarit{\'e} des anticorps. Pour cela, nous avons propos{\'e} un algorithme bas{\'e} sur quatre crit{\`e}re pour calculer le rapport se similarit{\'e}. Nous avons {\'e}galement {\'e}valu{\'e} les adaptations de certaines heuristiques bien connues, y compris Johnson (m / 2, m / 2), NEHH, PCDT et PLDT, Un benchmark a {\'e}t{\'e} {\'e}tabli pour {\'e}valuer les algorithmes. Le benchmark contenu jusqu{\textquoteright}{\`a} 100 jobs et 8 {\'e}tages. Tous les r{\'e}sultats ont montr{\'e} que le FSHMAIA donne les meilleurs r{\'e}sultats par rapport aux autres algorithmes, dans les trois politiques de la MP. L{\textquoteright}originalit{\'e} de cette th{\`e}se r{\'e}side dans l{\textquoteright}utilisation des SMA avec les AG et les SIA dans l{\textquoteright}int{\'e}gration des politiques de maintenance pr{\'e}ventive syst{\'e}matique dans un ordonnancement de type flow shop hybride.

},
	url = {http://eprints.univ-batna2.dz/1019/},
	author = {Abdelhadi, Adel}
}
@article {7175,
	title = {HYBRID MULTI-AGENT AND IMMUNE ALGORITHM APPROACH TO HYBRID FLOW SHOPS SCHEDULING WITH SDST},
	journal = {https://www.ajme.ro/PDF_AJME_2020_3/L15.pdf},
	volume = {18},
	number = {3},
	year = {2020},
	abstract = {The existing literature on process scheduling issues have either ignored installation times or assumed that installation times on all machines is free by association with the task sequence. This working arrangement addresses hybrid flow shop scheduling issues under which there are sequence-dependent configuration times referred to as HFS with SDST. This family of production systems are common in industries such as biological printed circuit boards, metallurgy and vehicles and automobiles making. Due to the increasing complexity of industrialized sectors, simple planning systems have failed to create a realistic industrial scheduling. Therefore, a hybrid multi-agent and immune algorithm can be used as an alternative approach to solve complex problems and produce an efficient industrial schedule in a timely manner. We propose in this paper a multi-agent and immune hybrid algorithms for scheduling HFS with SDST. The findings of this paper suggest that the proposed algorithm outperforms some of the existing ones including PSO (particle swarm optimization), GA (Genetic Algorithm), LSA (Local Search Algorithm) and NEHH (Nawaz Enscore and Ham).},
	url = {https://www.ajme.ro/PDF_AJME_2020_3/L15.pdf},
	author = {Abdelhadi, Adel and Mouss, Leila-Hayet and Ouahab KADRI}
}
@article {7189,
	title = {HYBRID MULTI-AGENT AND IMMUNE ALGORITHM APPROACH TO HYBRID FLOW SHOPS SCHEDULING WITH SDST},
	journal = {ACADEMIC JOURNAL OF MANUFACTURING ENGINEERING},
	volume = {18},
	number = {3},
	year = {2020},
	abstract = {The existing literature on process scheduling issues have either ignored installation times or assumed that installation times on all machines is free by association with the task sequence. This working arrangement addresses hybrid flow shop scheduling issues under which there are sequence-dependent configuration times referred to as HFS with SDST. This family of production systems are common in industries such as biological printed circuit boards, metallurgy and vehicles and automobiles making. Due to the increasing complexity of industrialized sectors, simple planning systems have failed to create a realistic industrial scheduling. Therefore, a hybrid multi-agent and immune algorithm can be used as an alternative approach to solve complex problems and produce an efficient industrial schedule in a timely manner. We propose in this paper a multi-agent and immune hybrid algorithms for scheduling HFS with SDST. The findings of this paper suggest that the proposed algorithm outperforms some of the existing ones including PSO (particle swarm optimization), GA (Genetic Algorithm), LSA (Local Search Algorithm) and NEHH (Nawaz Enscore and Ham).},
	url = {https://www.ajme.ro/PDF_AJME_2020_3/L15.pdf},
	author = {Abdelhadi, Adel and Mouss, Leila-Hayet and Ouahab KADRI}
}
@article {63167,
	title = {HYBRID MULTI-AGENT AND IMMUNE ALGORITHM APPROACH TO HYBRID FLOW SHOPS SCHEDULING WITH SDST.},
	journal = {Academic Journal of Manufacturing EngineeringAcademic Journal of Manufacturing Engineering},
	volume = {18},
	year = {2020},
	month = {2020},
	isbn = {1583-7904},
	author = {Abdelhadi, Adel and Leila Hayet Mouss and Ouahab KADRI}
}
@article {64328,
	title = {Fault diagnosis for a milk pasteurisation plant with missing data},
	journal = {International Journal of Quality Engineering and TechnologyInternational Journal of Quality Engineering and Technology},
	volume = {6},
	year = {2017},
	month = {2017},
	pages = {123-136},
	isbn = {1757-2177},
	author = {Ouahab KADRI and LH Mouss and Abdelhadi, Adel}
}
@article {65410,
	title = {TOOLBOX SUPPORTS GROUP AWARENESS IN GROUPWARE},
	journal = {Annals. Computer Science SeriesAnnals. Computer Science Series},
	volume = {14},
	year = {2016},
	month = {2016},
	isbn = {1583-7165},
	author = {Ouahab KADRI and Abdelhadi, Adel and Mouss, Leila-Hayet}
}
@article {66648,
	title = {Contribution au diagnostic des syst{\`e}mes industriels par des approches bas{\'e}es sur des algorithmes de colonie de fourmis},
	year = {2013},
	month = {2013},
	author = {Ouahab KADRI and LH Mouss and Mouss, MD and Abdelhadi, Adel}
}
@article {66807,
	title = {An efficient hybrid approach based on multi agent system and emergence method for the integration of systematic preventive maintenance policies in hybrid flow-shop scheduling to minimize makespan},
	journal = {Journal of Mechanical Engineering ResearchJournal of Mechanical Engineering Research},
	volume = {5},
	year = {2013},
	month = {2013},
	pages = {112-122},
	isbn = {2141-2383},
	author = {Abdelhadi, Adel and Mouss, Hayet L}
}
@proceedings {67141,
	title = {The use of artificial immune system algorithms in monitoring industrial},
	journal = {2012 6th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)},
	year = {2012},
	month = {2012},
	pages = {50-55},
	publisher = {IEEE},
	isbn = {1-4673-1658-X},
	author = {Abdelhadi, Adel and Leila Hayet Mouss}
}
