Mohammed Bahoura, Université du Québec à Rimouski

Research

Read how they describe their research on their Université du Québec à Rimouski profile.

Latest papers

Comparative study of respiratory sounds classification methods based on cepstral analysis and artificial neural networks.
Computers in biology and medicine · 2024 · senior author
Automatic recognition of fin and blue whale calls for real-time monitoring in the St. Lawrence.
The Journal of the Acoustical Society of America · 2009
Pattern recognition methods applied to respiratory sounds classification into normal and wheeze classes.
Computers in biology and medicine · 2009 · first author

All 3 publications

Latest funding

Développement et implantation temps-réel de techniques avancées de traitement des signaux
NSERC · 2012 · Principal investigator
$90,000
Expérimentation d'un réseau acoustique télécommandé de détection, identification et localisation automatisées de rorquals en temps réel.
NSERC · 2006 · Co-investigator
$66,725
Classification des sons respiratoires par extraction des coefficients cepstraux
NSERC · 2002 · Principal investigator
$63,000

All 3 grants and awards

3 publications.

01

Comparative study of respiratory sounds classification methods based on cepstral analysis and artificial neural networks.

Semmad A, Bahoura M

Computers in biology and medicine2024Senior author

DOI: 10.1016/j.compbiomed.2024.108190 PMID: 38387384

02

Automatic recognition of fin and blue whale calls for real-time monitoring in the St. Lawrence.

Mouy X, Bahoura M, Simard Y

The Journal of the Acoustical Society of America2009

DOI: 10.1121/1.3257588 PMID: 20000904

03

Pattern recognition methods applied to respiratory sounds classification into normal and wheeze classes.

Bahoura M

Computers in biology and medicine2009First author

DOI: 10.1016/j.compbiomed.2009.06.011 PMID: 19631934

Développement et implantation temps-réel de techniques avancées de traitement des signaux

Principal investigatorNSERC2012Discovery Grants Program - Individual

Principal investigators: Bahoura, Mohammed

$90,000

Expérimentation d'un réseau acoustique télécommandé de détection, identification et localisation automatisées de rorquals en temps réel.

Co-investigatorNSERC2006Discovery Grants Program - Ship Time

Principal investigators: Simard, Yvan

$66,725

Classification des sons respiratoires par extraction des coefficients cepstraux

Principal investigatorNSERC2002Discovery Grants Program - Individual

Principal investigators: Bahoura, Mohammed

$63,000

From public funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998 with their latest competition results, the Canada Foundation for Innovation, Genome Canada, the Canadian Space Agency, Canada Research Chairs, the Fonds de recherche du Québec, Ontario research funding, Michael Smith Health Research BC, the Canadian Cancer Society, Heart & Stroke and Brain Canada.

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Subject: Prospective PhD student Dear Professor Bahoura, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Comparative study of respiratory sounds classification methods based on cepstral analysis and artificial neural networks." (2024), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]