Publications

2017
Monsaf T, Hocine BM, Youcef S, Abdallah M. Unsteady three-dimensional numerical study of mass transfer in PEM fuel cell with spiral flow field. International Journal of Hydrogen EnergyInternational Journal of Hydrogen Energy. 2017;42 :1237-1251.
TAMERABET M, BENMOUSSA H, SAHLI Y, MOHAMMEDI A. Unsteady three-dimensional numerical study of mass transfer in PEM fuel cell with spiral flow field. International Journal of Hydrogen EnergyInternational Journal of Hydrogen Energy. 2017;42 :1237-1251.
Monsaf T, Hocine BM, Youcef S, Abdallah M. Unsteady three-dimensional numerical study of mass transfer in PEM fuel cell with spiral flow field. International Journal of Hydrogen EnergyInternational Journal of Hydrogen Energy. 2017;42 :1237-1251.
Tafsast A, Hadjili ML, Bouakaz A, Benoudjit N. Unsupervised cluster-based method for segmenting biological tumour volume of laryngeal tumours in 18 F-FDG-PET images. IET Image ProcessingIET Image Processing. 2017;11 :389-396.
Tafsast A, Hadjili ML, Bouakaz A, Benoudjit N. Unsupervised cluster-based method for segmenting biological tumour volume of laryngeal tumours in 18 F-FDG-PET images. IET Image ProcessingIET Image Processing. 2017;11 :389-396.
Tafsast A, Hadjili ML, Bouakaz A, Benoudjit N. Unsupervised cluster-based method for segmenting biological tumour volume of laryngeal tumours in 18 F-FDG-PET images. IET Image ProcessingIET Image Processing. 2017;11 :389-396.
Tafsast A, Hadjili ML, Bouakaz A, Benoudjit N. Unsupervised cluster-based method for segmenting biological tumour volume of laryngeal tumours in 18 F-FDG-PET images. IET Image ProcessingIET Image Processing. 2017;11 :389-396.
El Adlouni Y, Lahbari I, Rodríguez Hontoria H, Meknassi M, El Alaoui SO, Ennahnahi N. UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic. 11th International Workshop on Semantic Evaluations (SemEval-2017): proceedings of the workshop: August 3-4, 2017, Vancouver, Canada. 2017 :275-279.
El Adlouni Y, Lahbari I, Rodríguez Hontoria H, Meknassi M, El Alaoui SO, Ennahnahi N. UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic. 11th International Workshop on Semantic Evaluations (SemEval-2017): proceedings of the workshop: August 3-4, 2017, Vancouver, Canada. 2017 :275-279.
El Adlouni Y, Lahbari I, Rodríguez Hontoria H, Meknassi M, El Alaoui SO, Ennahnahi N. UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic. 11th International Workshop on Semantic Evaluations (SemEval-2017): proceedings of the workshop: August 3-4, 2017, Vancouver, Canada. 2017 :275-279.
El Adlouni Y, Lahbari I, Rodríguez Hontoria H, Meknassi M, El Alaoui SO, Ennahnahi N. UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic. 11th International Workshop on Semantic Evaluations (SemEval-2017): proceedings of the workshop: August 3-4, 2017, Vancouver, Canada. 2017 :275-279.
El Adlouni Y, Lahbari I, Rodríguez Hontoria H, Meknassi M, El Alaoui SO, Ennahnahi N. UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic. 11th International Workshop on Semantic Evaluations (SemEval-2017): proceedings of the workshop: August 3-4, 2017, Vancouver, Canada. 2017 :275-279.
El Adlouni Y, Lahbari I, Rodríguez Hontoria H, Meknassi M, El Alaoui SO, Ennahnahi N. UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic. 11th International Workshop on Semantic Evaluations (SemEval-2017): proceedings of the workshop: August 3-4, 2017, Vancouver, Canada. 2017 :275-279.
Boultif M, BENMESSAOUD H. Using climate-soil-socioeconomic parameters for a drought vulnerability assessment in a semi-arid region: Application at the region of El Hodna,(M’sila, Algeria). Geographica PannonicaGeographica Pannonica. 2017;21 :142-150.
Boultif M, BENMESSAOUD H. Using climate-soil-socioeconomic parameters for a drought vulnerability assessment in a semi-arid region: Application at the region of El Hodna,(M’sila, Algeria). Geographica PannonicaGeographica Pannonica. 2017;21 :142-150.
Hafdaoui H, Mehadjebia C, Benatia D. Using probabilistic neural network (PNN) for extracting acoustic microwaves (BAW) in piezoelectric material. International Conference in Artificial Intelligence in Renewable Energetic Systems. 2017 :308-315.
Hafdaoui H, Mehadjebia C, Benatia D. Using Probabilistic Neural Network (PNN) For Extracting Acoustic Microwaves (BAW) In Piezoelectric Material. International Conference in Artificial Intelligence in Renewable Energetic Systems (ICAIRES 2017) [Internet]. 2017. Publisher's VersionAbstract

In this paper, we propose a new method for Bulk waves detection of an acoustic microwave signal during the propagation of acoustic microwaves in a piezoelectric substrate (Lithium Niobate LiNbO3). We have used the classification by probabilistic neural network (PNN) as a means of numerical analysis in which we classify all the values of the real part and the imaginary part of the coefficient attenuation with the acoustic velocity in order to build a model from which we note the Bulk waves easily. These singularities inform us of presence of Bulk waves in piezoelectric materials.

Hafdaoui H, Mehadjebia C, Benatia D. Using Probabilistic Neural Network (PNN) For Extracting Acoustic Microwaves (BAW) In Piezoelectric Material. International Conference in Artificial Intelligence in Renewable Energetic Systems (ICAIRES 2017) [Internet]. 2017. Publisher's VersionAbstract

In this paper, we propose a new method for Bulk waves detection of an acoustic microwave signal during the propagation of acoustic microwaves in a piezoelectric substrate (Lithium Niobate LiNbO3). We have used the classification by probabilistic neural network (PNN) as a means of numerical analysis in which we classify all the values of the real part and the imaginary part of the coefficient attenuation with the acoustic velocity in order to build a model from which we note the Bulk waves easily. These singularities inform us of presence of Bulk waves in piezoelectric materials.

Hafdaoui H, Mehadjebia C, Benatia D. Using Probabilistic Neural Network (PNN) For Extracting Acoustic Microwaves (BAW) In Piezoelectric Material. International Conference in Artificial Intelligence in Renewable Energetic Systems (ICAIRES 2017) [Internet]. 2017. Publisher's VersionAbstract

In this paper, we propose a new method for Bulk waves detection of an acoustic microwave signal during the propagation of acoustic microwaves in a piezoelectric substrate (Lithium Niobate LiNbO3). We have used the classification by probabilistic neural network (PNN) as a means of numerical analysis in which we classify all the values of the real part and the imaginary part of the coefficient attenuation with the acoustic velocity in order to build a model from which we note the Bulk waves easily. These singularities inform us of presence of Bulk waves in piezoelectric materials.

Hafdaoui H, Mehadjebia C, Benatia D. Using probabilistic neural network (PNN) for extracting acoustic microwaves (BAW) in piezoelectric material. International Conference in Artificial Intelligence in Renewable Energetic Systems. 2017 :308-315.

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