Tebbal S, Mahdjoub H, Mokrani K.
VIH et tuberculose à Batna. 1ères rencontres internationales d’infectiologie . 2018.
Saddek T, Casamitjana X.
Water quality in Mediterranean reservoirs: a case study of Boadella reservoir. International Journal of River Basin ManagementInternational Journal of River Basin Management. 2018;16 :189-202.
Saddek T, Casamitjana X.
Water quality in Mediterranean reservoirs: a case study of Boadella reservoir. International Journal of River Basin ManagementInternational Journal of River Basin Management. 2018;16 :189-202.
Adoui I, Titaouine M, Choutri H, Saidi R, de SOUSA TR, Neto AG, Baudrand H.
WCIP method applied to modeling an L-notched rectangular metallic ring FSS for multiband applications and its equivalent structure. Journal of Microwaves, Optoelectronics and Electromagnetic ApplicationsJournal of Microwaves, Optoelectronics and Electromagnetic Applications. 2018;17 :457-476.
Adoui I, Titaouine M, Choutri H, Saidi R, de SOUSA TR, Neto AG, Baudrand H.
WCIP method applied to modeling an L-notched rectangular metallic ring FSS for multiband applications and its equivalent structure. Journal of Microwaves, Optoelectronics and Electromagnetic ApplicationsJournal of Microwaves, Optoelectronics and Electromagnetic Applications. 2018;17 :457-476.
Adoui I, Titaouine M, Choutri H, Saidi R, de SOUSA TR, Neto AG, Baudrand H.
WCIP method applied to modeling an L-notched rectangular metallic ring FSS for multiband applications and its equivalent structure. Journal of Microwaves, Optoelectronics and Electromagnetic ApplicationsJournal of Microwaves, Optoelectronics and Electromagnetic Applications. 2018;17 :457-476.
Adoui I, Titaouine M, Choutri H, Saidi R, de SOUSA TR, Neto AG, Baudrand H.
WCIP method applied to modeling an L-notched rectangular metallic ring FSS for multiband applications and its equivalent structure. Journal of Microwaves, Optoelectronics and Electromagnetic ApplicationsJournal of Microwaves, Optoelectronics and Electromagnetic Applications. 2018;17 :457-476.
Adoui I, Titaouine M, Choutri H, Saidi R, de SOUSA TR, Neto AG, Baudrand H.
WCIP method applied to modeling an L-notched rectangular metallic ring FSS for multiband applications and its equivalent structure. Journal of Microwaves, Optoelectronics and Electromagnetic ApplicationsJournal of Microwaves, Optoelectronics and Electromagnetic Applications. 2018;17 :457-476.
Adoui I, Titaouine M, Choutri H, Saidi R, de SOUSA TR, Neto AG, Baudrand H.
WCIP method applied to modeling an L-notched rectangular metallic ring FSS for multiband applications and its equivalent structure. Journal of Microwaves, Optoelectronics and Electromagnetic ApplicationsJournal of Microwaves, Optoelectronics and Electromagnetic Applications. 2018;17 :457-476.
Adoui I, Titaouine M, Choutri H, Saidi R, de SOUSA TR, Neto AG, Baudrand H.
WCIP method applied to modeling an L-notched rectangular metallic ring FSS for multiband applications and its equivalent structure. Journal of Microwaves, Optoelectronics and Electromagnetic ApplicationsJournal of Microwaves, Optoelectronics and Electromagnetic Applications. 2018;17 :457-476.
Eddine-Boubiche D, Trejo-Sánchez JA, Toral-Cruz H, López-Martínez JL, Hidoussi F.
Wireless sensor technology for intelligent data sensing: Research trends and challenges. In: Intelligent data sensing and processing for health and well-being applications. Elsevier ; 2018. pp. 41-58.
Eddine-Boubiche D, Trejo-Sánchez JA, Toral-Cruz H, López-Martínez JL, Hidoussi F.
Wireless sensor technology for intelligent data sensing: Research trends and challenges. In: Intelligent data sensing and processing for health and well-being applications. Elsevier ; 2018. pp. 41-58.
Eddine-Boubiche D, Trejo-Sánchez JA, Toral-Cruz H, López-Martínez JL, Hidoussi F.
Wireless sensor technology for intelligent data sensing: Research trends and challenges. In: Intelligent data sensing and processing for health and well-being applications. Elsevier ; 2018. pp. 41-58.
Eddine-Boubiche D, Trejo-Sánchez JA, Toral-Cruz H, López-Martínez JL, Hidoussi F.
Wireless sensor technology for intelligent data sensing: Research trends and challenges. In: Intelligent data sensing and processing for health and well-being applications. Elsevier ; 2018. pp. 41-58.
Eddine-Boubiche D, Trejo-Sánchez JA, Toral-Cruz H, López-Martínez JL, Hidoussi F.
Wireless sensor technology for intelligent data sensing: Research trends and challenges. In: Intelligent data sensing and processing for health and well-being applications. Elsevier ; 2018. pp. 41-58.
Jamous A, Salah Z.
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Souhil KOUDA, Toufik BENDIB, Samir B, Abdelghani D.
ANN modeling of an industrial gas sensor behavior. 2018 International Conference on Communications and Electrical Engineering (ICCEE) [Internet]. 2018.
Publisher's VersionAbstract
In this paper, we propose the modeling of an industrial gas sensor “MQ-9”, where our modeling is based on ANNs “artificial neural networks The gas sensor model, obtained, operated under a dynamic environment and expresses accurately the MQ-9 gas sensor behavior. Accordingly, it takes into account the nonlinearity and the cross sensitivity in gas selectivity, temperature and humidity. This model is implemented into PSPICE “performance simulation program with integrated circuit emphasis” simulator as an electrical circuit in order to prove the similarity of the analytical model output with that of the MQ-9 gas sensor.
Souhil KOUDA, Toufik BENDIB, Samir B, Abdelghani D.
ANN modeling of an industrial gas sensor behavior. 2018 International Conference on Communications and Electrical Engineering (ICCEE) [Internet]. 2018.
Publisher's VersionAbstract
In this paper, we propose the modeling of an industrial gas sensor “MQ-9”, where our modeling is based on ANNs “artificial neural networks The gas sensor model, obtained, operated under a dynamic environment and expresses accurately the MQ-9 gas sensor behavior. Accordingly, it takes into account the nonlinearity and the cross sensitivity in gas selectivity, temperature and humidity. This model is implemented into PSPICE “performance simulation program with integrated circuit emphasis” simulator as an electrical circuit in order to prove the similarity of the analytical model output with that of the MQ-9 gas sensor.
Souhil KOUDA, Toufik BENDIB, Samir B, Abdelghani D.
ANN modeling of an industrial gas sensor behavior. 2018 International Conference on Communications and Electrical Engineering (ICCEE) [Internet]. 2018.
Publisher's VersionAbstract
In this paper, we propose the modeling of an industrial gas sensor “MQ-9”, where our modeling is based on ANNs “artificial neural networks The gas sensor model, obtained, operated under a dynamic environment and expresses accurately the MQ-9 gas sensor behavior. Accordingly, it takes into account the nonlinearity and the cross sensitivity in gas selectivity, temperature and humidity. This model is implemented into PSPICE “performance simulation program with integrated circuit emphasis” simulator as an electrical circuit in order to prove the similarity of the analytical model output with that of the MQ-9 gas sensor.