Author

M. Bahaz

Observed name: Mohamed Bahaz

Institution: University of Batna 2

Observed institutions: University of Batna 1, University of Batna 2

OpenAlex ID: A5030275702

Efficient algorithm for baseline wander and powerline noise removal from ECG signals based on discrete Fourier series

2018 · Mohamed Bahaz, Redha Benzid · Australasian Physical & Engineering Sciences in Medicine · 42

In vitro microemboli classification using neural network models and RF signals

2010 · N. Benoudjit, K. Ferroudji, et al. · Ultrasonics · 20

Feature selection based on RF signals and KNN Rule: Application to microemboli classification

2011 · K. Ferroudji, N. Benoudjit, et al. · International Workshop on Systems, Signal Processing and their Applications · 11

Selection of a suitable mother wavelet for microemboli classification using SVM and RF signals

2012 · K. Ferroudji, N. Benoudjit, et al. · 9

P1A-5 Analysis of Backscattered Signals with a Neural Network Model for Microemboli Classification

2007 · P. Palanchon, N. Benoudjit, et al. · Proceedings/Proceedings - IEEE Ultrasonics Symposium · 1

UNIVERSITÉ HADJ LAKHDAR BATNA Faculté des Sciences de L'Ingénieur

2010 · M. Bahaz

Propriétés Non Linéaires Des Tissusappliquées À L’imagerie Ultrasonorenonlinear Tissus Properties Applied to Ultrasound Imaging

2010 · M. Bahaz

Works count: 7

Citation count: 83

H-index: 4

I10-index: 3