Mansoura L, Noureddine A, Assas O, Yassine A.
Multimodal face and iris recognition with adaptive score normalization using several comparative methods. Indian Journal of Science and TechnologyIndian Journal of Science and Technology. 2019;12 :7.
zemouri N, Bouzgou H, Gueymard CA.
Multimodel ensemble approach for hourly global solar irradiation forecasting. The European Physical Journal PlusThe European Physical Journal Plus. 2019;134 :594.
zemouri N, Bouzgou H, Gueymard CA.
Multimodel ensemble approach for hourly global solar irradiation forecasting. The European Physical Journal PlusThe European Physical Journal Plus. 2019;134 :594.
zemouri N, Bouzgou H, Gueymard CA.
Multimodel ensemble approach for hourly global solar irradiation forecasting. The European Physical Journal PlusThe European Physical Journal Plus. 2019;134 :594.
Khedidja D, Hayet M.
Multiple Classifiers and Invariant Features Extraction for Digit Recognition. International Journal of Computer Electrical EngineeringInternational Journal of Computer Electrical Engineering. 2019;11 :41-52.
Khedidja D, Hayet M.
Multiple Classifiers and Invariant Features Extraction for Digit Recognition. International Journal of Computer Electrical EngineeringInternational Journal of Computer Electrical Engineering. 2019;11 :41-52.
Fadhila B.
Néphrose lipoïdique de l’enfant : Etude d’une cohorte de 40 cas. Congrès des sociétés françaises de Pédiatrie Congrès et de l'APLF, . 2019.
Aloqaily A, Al-Nawayseh MK, Baarah AH, Salah Z, Al-Hassan M, Al-Ghuwairi A-R.
A neural network analytical model for predicting determinants of mobile learning acceptance. International Journal of Computer Applications in TechnologyInternational Journal of Computer Applications in Technology. 2019;60 :73-85.
Aloqaily A, Al-Nawayseh MK, Baarah AH, Salah Z, Al-Hassan M, Al-Ghuwairi A-R.
A neural network analytical model for predicting determinants of mobile learning acceptance. International Journal of Computer Applications in TechnologyInternational Journal of Computer Applications in Technology. 2019;60 :73-85.
Aloqaily A, Al-Nawayseh MK, Baarah AH, Salah Z, Al-Hassan M, Al-Ghuwairi A-R.
A neural network analytical model for predicting determinants of mobile learning acceptance. International Journal of Computer Applications in TechnologyInternational Journal of Computer Applications in Technology. 2019;60 :73-85.
Aloqaily A, Al-Nawayseh MK, Baarah AH, Salah Z, Al-Hassan M, Al-Ghuwairi A-R.
A neural network analytical model for predicting determinants of mobile learning acceptance. International Journal of Computer Applications in TechnologyInternational Journal of Computer Applications in Technology. 2019;60 :73-85.
Aloqaily A, Al-Nawayseh MK, Baarah AH, Salah Z, Al-Hassan M, Al-Ghuwairi A-R.
A neural network analytical model for predicting determinants of mobile learning acceptance. International Journal of Computer Applications in TechnologyInternational Journal of Computer Applications in Technology. 2019;60 :73-85.
Aloqaily A, Al-Nawayseh MK, Baarah AH, Salah Z, Al-Hassan M, Al-Ghuwairi A-R.
A neural network analytical model for predicting determinants of mobile learning acceptance. International Journal of Computer Applications in TechnologyInternational Journal of Computer Applications in Technology. 2019;60 :73-85.
Khaldi S, Zohir D.
Neural Network Technique for Electronic Nose Based on High Sensitivity Sensors Array, ISSN / e-ISSN 1557-2064 / 1557-2072. Sensing and ImagingSensing and Imaging. 2019.
AbstractElectronic Nose, as an artificial olfaction system, has potential applications in environmental monitoring because of its proven ability to recognize and discriminate between a variety of different gases and odors. In this paper, we used a chemical sensor array to develop an electronic nose to detect and identify seven different gases (H2, C2H2, CH4, CH3OCH3, CO, NO2, and NH3). These gas sensors are chosen because of its hierarchical/doped nanostructure characteristics, which give them a very high sensitivity and low response time; we improve the linearity response and temperature dependence using models based on artificial neural networks. We used in Electronic nose a pattern recognition based on artificial neural network, which discriminates qualitatively and quantitatively seven gases and has a fast response.
Khaldi S, Zohir D.
Neural Network Technique for Electronic Nose Based on High Sensitivity Sensors Array, ISSN / e-ISSN 1557-2064 / 1557-2072. Sensing and ImagingSensing and Imaging. 2019.
AbstractElectronic Nose, as an artificial olfaction system, has potential applications in environmental monitoring because of its proven ability to recognize and discriminate between a variety of different gases and odors. In this paper, we used a chemical sensor array to develop an electronic nose to detect and identify seven different gases (H2, C2H2, CH4, CH3OCH3, CO, NO2, and NH3). These gas sensors are chosen because of its hierarchical/doped nanostructure characteristics, which give them a very high sensitivity and low response time; we improve the linearity response and temperature dependence using models based on artificial neural networks. We used in Electronic nose a pattern recognition based on artificial neural network, which discriminates qualitatively and quantitatively seven gases and has a fast response.
Gasmi S, Chafaa S, Lakroun Z, Rouabhi R, Touahria C, Kebieche M, Soulimani R.
Neuronal apoptosis and imbalance of neurotransmitters induced by acetamiprid in rats. Toxicology and Environmental Health SciencesToxicology and Environmental Health Sciences. 2019;11 :305-311.
Gasmi S, Chafaa S, Lakroun Z, Rouabhi R, Touahria C, Kebieche M, Soulimani R.
Neuronal apoptosis and imbalance of neurotransmitters induced by acetamiprid in rats. Toxicology and Environmental Health SciencesToxicology and Environmental Health Sciences. 2019;11 :305-311.
Gasmi S, Chafaa S, Lakroun Z, Rouabhi R, Touahria C, Kebieche M, Soulimani R.
Neuronal apoptosis and imbalance of neurotransmitters induced by acetamiprid in rats. Toxicology and Environmental Health SciencesToxicology and Environmental Health Sciences. 2019;11 :305-311.
Gasmi S, Chafaa S, Lakroun Z, Rouabhi R, Touahria C, Kebieche M, Soulimani R.
Neuronal apoptosis and imbalance of neurotransmitters induced by acetamiprid in rats. Toxicology and Environmental Health SciencesToxicology and Environmental Health Sciences. 2019;11 :305-311.
Gasmi S, Chafaa S, Lakroun Z, Rouabhi R, Touahria C, Kebieche M, Soulimani R.
Neuronal apoptosis and imbalance of neurotransmitters induced by acetamiprid in rats. Toxicology and Environmental Health SciencesToxicology and Environmental Health Sciences. 2019;11 :305-311.