A nanoflare model for active region radiance: application of artificial neural networks M Bazarghan, H Safari, DE Innes, E Karami, SK Solanki Astronomy & Astrophysics 492 (1), L13-L16, 2008 | 41 | 2008 |
Automated classification of sloan digital sky survey (SDSS) stellar spectra using artificial neural networks M Bazarghan, R Gupta Astrophysics and Space Science 315, 201-210, 2008 | 32 | 2008 |
Application of self-organizing map to stellar spectral classifications M Bazarghan Astrophysics and Space Science 337, 93-98, 2012 | 29 | 2012 |
SDSS-DR12 bulk stellar spectral classification: Artificial neural networks approach S Kheirdastan, M Bazarghan Astrophysics and space science 361 (9), 304, 2016 | 22 | 2016 |
Automated classification of ELODIE stellar spectral library using probabilistic artificial neural networks M Bazarghan arXiv preprint arXiv:0804.2742, 2008 | 20 | 2008 |
Long distance iris recognition R Amandi, M Bayat, K Minakhani, H Mirloo, M Bazarghan 2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP …, 2013 | 3 | 2013 |
Automatic ECG Beat Arrhythmia Detection M Bazarghan, Y Jaberi, R Amandi, M Abedi arXiv preprint arXiv:1209.0167, 2012 | 3 | 2012 |
Predicting clinical significance of BRCA1 and BRCA2 single nucleotide substitution variants with unknown clinical significance using probabilistic neural network and deep … ER KhajePasha, M Bazarghan, HK Manjili, R Mohammadkhani, ... arXiv preprint arXiv:1805.02176, 2018 | 2 | 2018 |
Predicting clinical significance of BRCA1 and BRCA2 single nucleotide substitution variants with unknown clinical significance using probabilistic neural network and deep … E Rahmatizad KhajePasha, M Bazarghan, H Kheiri Manjili, ... arXiv e-prints, arXiv: 1805.02176, 2018 | | 2018 |
Application of artificial neural networks to a nanoflare model of active region emission line radiance M Bazarghan, H Safari, DE Innes, E Karami, SK Solanki arXiv preprint arXiv:0808.3925, 2008 | | 2008 |