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Faycal Bensaali

Qatar University

SCHOLARLY PAPERS

4

DOWNLOADS

269

TOTAL CITATIONS

2

Scholarly Papers (4)

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1.

Multiviewunet: A Deep Learning Surrogate for Wall Shear Stress Prediction in Aortic Aneurysmal Diseases

Number of pages: 23 Posted: 26 Oct 2023
Md. Ahasan Atick Faisal, Onur Mutlu, Sakib Mahmud, Anas Tahir, Muhammad Enamul Hoque Chowdhury, Faycal Bensaali, A. Rahman D. M. H. Alnabti, Mehmet Metin Yavuz, Ayman El-Menyar, Hassan Al-Thani and Huseyin Cagatay Yalcin
Qatar University, Qatar University, Qatar University, University of British Columbia (UBC), University of Nottingham - Sir Peter Mansfield Imaging Centre, Qatar University, Hamad Medical Corporation, Middle East Technical University, Hamad Medical Corporation, Hamad Medical Corporation and Qatar University
Downloads 107

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abdominal aortic aneurysm, Deep Learning, neural network, Artificial Intelligence, hemodynamics, computational fluid dynamics

2.

Non-Intrusive Load State Monitoring Through Smart Meter ‎Disaggregation Using 1d Deep ‎Reconstruction Networks

Number of pages: 29 Posted: 15 Apr 2024
Sakib Mahmud, Mahdi Houchati, Faycal Bensaali and Muhammad Enamul Hoque Chowdhury
Qatar University, affiliation not provided to SSRN, Qatar University and University of Nottingham - Sir Peter Mansfield Imaging Centre
Downloads 75
Citation 2

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SM-DAGG, DAGG-Net, Jaccard of Energies of Interest (JEOI), Non-Intrusive Load Monitoring (NILM), Load Disaggregation, 1D-Reconstruction

3.

Revolutionizing Ventilator-Associated Pneumonia Diagnosis: Electrochemical Sensors for Rapid and Sensitive Detection of Pyocyanin

Number of pages: 29 Posted: 30 May 2023
Mohammad Noorizadeh, Tamim M. Al-Hasan, Mizaj S. Sha, Faycal Bensaali, Nader Meskin, Kishor Kumar Sadasivuni, Susu M. Zughaier, Mahmoud Elgamal and Ali Ait Hssain
Qatar University, Qatar University, Qatar University, Qatar University, Qatar University, Qatar University, Qatar University, Qatar University and Hamad Medical Corporation - Medical Intensive Care Unit
Downloads 55

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Biosensors, Bio-Signal Processing, DNA Aptamer, Electrochemistry, Nosocomial infections, Ventilator Associated Pneumonia

4.

Revolutionizing Ventilator-Associated Pneumonia Diagnosis: Electrochemical Sensors for Rapid and Sensitive Detection of Pyocyanin

Number of pages: 23 Posted: 02 Nov 2023
Mohammad Noorizadeh, Tamim M. Al-Hasan, Mizaj S. Sha, Faycal Bensaali, Nader Meskin, Kishor Kumar Sadasivuni, Susu M. Zughaier, Mahmoud Elgamal and Ali Ait Hssain
Qatar University, Qatar University, Qatar University, Qatar University, Qatar University, Qatar University, Qatar University, Qatar University and Hamad Medical Corporation - Medical Intensive Care Unit
Downloads 32

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Biosensors, Bio-Signal Processing, DNA Aptamer, Electrochemistry, Nosocomial infections, Ventilator Associated Pneumonia (VAP)