Publications

2016
Boukhenoufa N, Ramdane M, Djamil R. Journal of SemiconductorsPAPERStructural, optical, morphological and electrical properties of undoped and Al-doped ZnO thin films prepared using sol—gel dip coating process, ISSN / e-ISSN 1674-4926 / 1674-4926. Journal of SemiconductorsJournal of Semiconductors. 2016;Volume 37.Abstract
In this work, sol—gel dip-coating technique was used to elaborate ZnO pure and ZnO/Al films. The impact of Al-doped concentration on the structural, optical, surface morphological and electrical properties of the elaborated samples was investigated. It was found that better electrical and optical performances have been obtained for an Al concentration equal to 5%, where the ZnO thin films exhibit a resistivity value equal to 1.64104 Ωcm. Moreover, highest transparency has been recorded for the same Al concentration value. The obtained results from this investigation make the developed thin film structure a potential candidate for high optoelectronic performance applications.
Boukhenoufa N, Ramdane M, Djamil R. Journal of SemiconductorsPAPERStructural, optical, morphological and electrical properties of undoped and Al-doped ZnO thin films prepared using sol—gel dip coating process, ISSN / e-ISSN 1674-4926 / 1674-4926. Journal of SemiconductorsJournal of Semiconductors. 2016;Volume 37.Abstract
In this work, sol—gel dip-coating technique was used to elaborate ZnO pure and ZnO/Al films. The impact of Al-doped concentration on the structural, optical, surface morphological and electrical properties of the elaborated samples was investigated. It was found that better electrical and optical performances have been obtained for an Al concentration equal to 5%, where the ZnO thin films exhibit a resistivity value equal to 1.64104 Ωcm. Moreover, highest transparency has been recorded for the same Al concentration value. The obtained results from this investigation make the developed thin film structure a potential candidate for high optoelectronic performance applications.
Mezache H, Bouzgou H, Raymond C. Kernel Principal Components Analysis with Extreme Learning Machines for Wind Speed Prediction. 7th International Renewable Energy Congress (IREC) [Internet]. 2016. Publisher's VersionAbstract

Nowadays, wind power andprecise forecasting are of great importancefor the development ofmodern electricalgrids.In this paperwepropose aprediction systemfor time seriesbased onKernelPrincipalComponent Analysis(KPCA) andExtremeLearningMachine(ELM). To compare the proposed approach, threedimensionality reduction techniques were used:full space (50 variables), part of space (last four variables) and classical Principal Components Analysis (PCA). These models were compared using three evaluation criteria: mean absoluteerror (MAE), root mean squareerror (RMSE), and normalizedmean square error (NMSE). The results show that the reduction of the original input space affectspositively the prediction output of the wind speed.Thus,It can be concluded that the non linear model (KPCA)model outperform the other reduction techniques in terms of prediction performance.

Mezache H, Bouzgou H, Raymond C. Kernel Principal Components Analysis with Extreme Learning Machines for Wind Speed Prediction. 7th International Renewable Energy Congress (IREC) [Internet]. 2016. Publisher's VersionAbstract

Nowadays, wind power andprecise forecasting are of great importancefor the development ofmodern electricalgrids.In this paperwepropose aprediction systemfor time seriesbased onKernelPrincipalComponent Analysis(KPCA) andExtremeLearningMachine(ELM). To compare the proposed approach, threedimensionality reduction techniques were used:full space (50 variables), part of space (last four variables) and classical Principal Components Analysis (PCA). These models were compared using three evaluation criteria: mean absoluteerror (MAE), root mean squareerror (RMSE), and normalizedmean square error (NMSE). The results show that the reduction of the original input space affectspositively the prediction output of the wind speed.Thus,It can be concluded that the non linear model (KPCA)model outperform the other reduction techniques in terms of prediction performance.

Mezache H, Bouzgou H, Raymond C. Kernel Principal Components Analysis with Extreme Learning Machines for Wind Speed Prediction. 7th International Renewable Energy Congress (IREC) [Internet]. 2016. Publisher's VersionAbstract

Nowadays, wind power andprecise forecasting are of great importancefor the development ofmodern electricalgrids.In this paperwepropose aprediction systemfor time seriesbased onKernelPrincipalComponent Analysis(KPCA) andExtremeLearningMachine(ELM). To compare the proposed approach, threedimensionality reduction techniques were used:full space (50 variables), part of space (last four variables) and classical Principal Components Analysis (PCA). These models were compared using three evaluation criteria: mean absoluteerror (MAE), root mean squareerror (RMSE), and normalizedmean square error (NMSE). The results show that the reduction of the original input space affectspositively the prediction output of the wind speed.Thus,It can be concluded that the non linear model (KPCA)model outperform the other reduction techniques in terms of prediction performance.

Mansouri Z, Menani MR. L’ETUDE DES CARACTERISTIQUES HYDRODYNAMIQUES ET LA VULNERABILITE DE LA PLAINE ALLUVIONNAIRE DE KSAR BELEZMA (BATNA-NORD-EST ALGERIEN). 2016.
Mansouri Z, Menani MR. L’ETUDE DES CARACTERISTIQUES HYDRODYNAMIQUES ET LA VULNERABILITE DE LA PLAINE ALLUVIONNAIRE DE KSAR BELEZMA (BATNA-NORD-EST ALGERIEN). 2016.
Djaiz F, Defaflia N, Brinis N, Athamena A, Marmi R. L'intéret de l'etude géologique et hydrogéologique pour la mobilisation des ressources hydriques dans le bassin de Timgad (Aures, Algerie Nord oriental). 1er Séminaire National sur l'eau et l'environnement (SNEE 2016), Centre universitaire Abdelhafid Boussouf,28-29 Novembre. 2016.
Djaiz F, Defaflia N, Brinis N, Athamena A, Marmi R. L'intéret de l'etude géologique et hydrogéologique pour la mobilisation des ressources hydriques dans le bassin de Timgad (Aures, Algerie Nord oriental). 1er Séminaire National sur l'eau et l'environnement (SNEE 2016), Centre universitaire Abdelhafid Boussouf,28-29 Novembre. 2016.
Djaiz F, Defaflia N, Brinis N, Athamena A, Marmi R. L'intéret de l'etude géologique et hydrogéologique pour la mobilisation des ressources hydriques dans le bassin de Timgad (Aures, Algerie Nord oriental). 1er Séminaire National sur l'eau et l'environnement (SNEE 2016), Centre universitaire Abdelhafid Boussouf,28-29 Novembre. 2016.
Djaiz F, Defaflia N, Brinis N, Athamena A, Marmi R. L'intéret de l'etude géologique et hydrogéologique pour la mobilisation des ressources hydriques dans le bassin de Timgad (Aures, Algerie Nord oriental). 1er Séminaire National sur l'eau et l'environnement (SNEE 2016), Centre universitaire Abdelhafid Boussouf,28-29 Novembre. 2016.
Djaiz F, Defaflia N, Brinis N, Athamena A, Marmi R. L'intéret de l'etude géologique et hydrogéologique pour la mobilisation des ressources hydriques dans le bassin de Timgad (Aures, Algerie Nord oriental). 1er Séminaire National sur l'eau et l'environnement (SNEE 2016), Centre universitaire Abdelhafid Boussouf,28-29 Novembre. 2016.
Hadjam M, Abidi R, Hammoudi AEH. La conduite d’un projet touristique a travers les modes de financement. 2016.
Hadjam M, Abidi R, Hammoudi AEH. La conduite d’un projet touristique a travers les modes de financement. 2016.
Hadjam M, Abidi R, Hammoudi AEH. La conduite d’un projet touristique a travers les modes de financement. 2016.
Bensekhria N, Benhassine W. La contrainte posturale chez le personnel soignant. Archives des Maladies Professionnelles et de l'EnvironnementArchives des Maladies Professionnelles et de l'Environnement. 2016;77 :394-395.
Bensekhria N, Benhassine W. La contrainte posturale chez le personnel soignant. Archives des Maladies Professionnelles et de l'EnvironnementArchives des Maladies Professionnelles et de l'Environnement. 2016;77 :394-395.
Sana B. La série compano-maestrichtienne de l’anticlinal de Djebel El Azreg : Lithostratigraphie, Paléodiversité et Sédimentologie (Aurès, Algérie oriental. 2016.
Ouarlent Y. La vaccination anti- papillomavirus. Journées de la vaccination : Actualités et perspectives. 2016.
Amrani I, Bulatova N, Awidi A, Yousef A-M, Melhem JM, Al-Masri M, Tahoun LA. Lack of Association between CYP1A1 M2 and M4 Polymorphisms and Breast Carcinoma in Jordanian Women: a Case-Control Study. Asian Pacific Journal of Cancer Prevention: APJCP 2016Asian Pacific Journal of Cancer Prevention: APJCP 2016. 2016;17 :387-393.

Pages