Application of a radial basis function artificial neural network to seismic data inversion K Baddari, T Aïfa, N Djarfour, J Ferahtia Computers & geosciences 35 (12), 2338-2344, 2009 | 48 | 2009 |
Seismic noise attenuation by means of an anisotropic non-linear diffusion filter K Baddari, J Ferahtia, T Aïfa, N Djarfour Computers & geosciences 37 (4), 456-463, 2011 | 47 | 2011 |
Application of feedback connection artificial neural network to seismic data filtering N Djarfour, T Aïfa, K Baddari, A Mihoubi, J Ferahtia Comptes Rendus. Géoscience 340 (6), 335-344, 2008 | 43 | 2008 |
Seismic noise filtering based on generalized regression neural networks N Djarfour, J Ferahtia, F Babaia, K Baddari, E Said, M Farfour Computers & Geosciences 69, 1-9, 2014 | 31 | 2014 |
Acoustic impedance inversion by feedback artificial neural network K Baddari, N Djarfour, T Aïfa, J Ferahtia Journal of Petroleum Science and Engineering 71 (3-4), 106-111, 2010 | 27 | 2010 |
Petrophysical parameters estimation from well-logs data using multilayer perceptron and radial basis function neural networks L Aliouane, SA Ouadfeul, N Djarfour, A Boudella Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012 | 23 | 2012 |
Permeability prediction using artificial neural networks. A comparative study between back propagation and Levenberg–Marquardt learning algorithms L Aliouane, SA Ouadfeul, N Djarfour, A Boudella Mathematics of Planet Earth: Proceedings of the 15th Annual Conference of …, 2014 | 14 | 2014 |
Image-based processing techniques applied to seismic data filtering J Ferahtia, T Aïfa, K Baddari, N Djarfour, S El Adj Journal of Petroleum Science and Engineering 104, 17-26, 2013 | 14 | 2013 |
Mathematical models of photovoltaic modules degradation in desert environment M Boussaid, A Belghachi, K Agroui, N Djarfour AIMS Energy 7 (2), 127-140, 2019 | 12 | 2019 |
Lithofacies prediction from well logs data using different neural network models L Aliouane, SA Ouadfeul, N Djarfour, A Boudella Special Session on Pattern Recognition in Geosciences: Theory and …, 2013 | 12 | 2013 |
Application of signal dependent rank‐order mean filter to the removal of noise spikes from 2D electrical resistivity imaging data J Ferahtia, N Djarfour, K Baddari, R Guérin Near Surface Geophysics 7 (3), 159-169, 2009 | 11 | 2009 |
Seismic spectral decomposition applications in seismic: A review and application M Farfour, J Ferahtia, N Djarfour, MA Aitouch Oil and Gas Exploration: Methods and Application, 93-113, 2018 | 9 | 2018 |
A fuzzy logic-based filter for the removal of spike noise from 2D electrical resistivity data J Ferahtia, N Djarfour, K Baddari, A Kheldoun Journal of applied geophysics 87, 19-27, 2012 | 8 | 2012 |
Seismic attributes combination to enhance detection of bright spot associated with hydrocarbons M Farfour, WJ Yoon, J Ferahtia, N Djarfour Geosystem Engineering 15 (3), 143-150, 2012 | 6 | 2012 |
Incorporation of a non-linear image filtering technique for noise reduction in seismic data J Ferahtia, K Baddari, N Djarfour, AK Kassouri Pure and applied geophysics 167 (11), 1389-1404, 2010 | 5 | 2010 |
Vertical electrical sounding data inversion using continuous ant colony optimization algorithm: A case study from Hassi R'Mel, Algeria L Bouchaoui, J Ferahtia, M Farfour, N Djarfour Near Surface Geophysics 20 (4), 419-439, 2022 | 4 | 2022 |
Tomographic velocity images by radial basis function artificial neural network N Djarfour, J Farahtia, K Baddari, T Aïfa 2011 International Conference on Communications, Computing and Control …, 2011 | 4 | 2011 |
Impulse noise reduction in 2D electrical resistivity imaging data based on fuzzy logic J Ferahtia, N Djarfour, K Baddari, A Khaldoun 2011 International Conference on Communications, Computing and Control …, 2011 | 1 | 2011 |
Tomographic velocity images by artificial neural networks N Djarfour, J Ferahtia, K Baddari | 1 | 2007 |
Sand winds effect on the degradation of photovoltaic modules in desert environments-PART I: Simulator design and Database creating. A ELKHARRAZ, M BOUSSAID, N DJARFOUR, H MOUNGAR Present Environment & Sustainable Development 17 (1), 2023 | | 2023 |