31 citations · 62 across the 6 of their papers we have counts for
6 papers
Predicting clinical significance of BRCA1 and BRCA2 single nucleotide substitution variants with unknown clinical significance using probabilistic neural network and deep neural network-stacked autoencoder
Ehsan Rahmatizad KhajePasha, Mahdi Bazarghan, Hamidreza Kheiri Manjili +2
Non-synonymous single nucleotide polymorphisms (nsSNPs) are single nucleotide substitution occurring in the coding region of a gene and leads to a change in amino-acid sequence of…
Automatic ECG Beat Arrhythmia Detection
M. Bazarghan, Y. Jaberi, R. Amandi +1
Background: In recent years automated data analysis techniques have drawn great attention and are used in almost every field of research including biomedical. Artificial Neural Net…
Application of Self-Organizing Map to Stellar Spectral Classifications
Bazarghan Mahdi
We present an automatic, fast, accurate and robust method of classifying astronomical objects. The Self Organizing Map (SOM) as an unsupervised Artificial Neural Network (ANN) algo…
A nanoflare model for active region radiance: application of artificial neural networks
M. Bazarghan, H. Safari, D. E. Innes +2
Context. Nanoflares are small impulsive bursts of energy that blend with and possibly make up much of the solar background emission. Determining their frequency and energy input is…
Automated Classification of Sloan Digital Sky Survey (SDSS) Stellar Spectra using Artificial Neural Networks
Mahdi Bazarghan, Ranjan Gupta
Automated techniques have been developed to automate the process of classification of objects or their analysis. The large datasets provided by upcoming spectroscopic surveys with…
Automated Classification of ELODIE Stellar Spectral Library Using Probabilistic Artificial Neural Networks
Mahdi Bazarghan
A Probabilistic Neural Network model has been used for automated classification of ELODIE stellar spectral library consisting of about 2000 spectra into 158 known spectro-luminosit…