Mahmoud M. Bassiouni

According to our database, Mahmoud M. Bassiouni authored at least 7 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions.

Mahmoud M. Bassiouni, Ripon K. Chakrabortty, Omar Khadeer Hussain, Humyun Fuad Rahman

Expert Syst. Appl., 2023

2022

RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images.

El-Sayed A. El-Dahshan, Mahmoud M. Bassiouni, Ahmed Hagag, Ripon K. Chakrabortty, Hui Wen Loh, U. Rajendra Acharya

Expert Syst. Appl., 2022

Automated Detection of COVID-19 Using Deep Learning Approaches with Paper-Based ECG Reports.

Mahmoud M. Bassiouni, Islam Hegazy, Nouhad Rizk, El-Sayed A. El-Dahshan, Abdel-Badeeh M. Salem

Circuits Syst. Signal Process., 2022

2021

PCG signals for biometric authentication systems: An in-depth review.

El-Sayed A. El-Dahshan, Mahmoud M. Bassiouni, Septavera Sharvia, Abdel-Badeeh M. Salem

Comput. Sci. Rev., 2021

2020

Intelligent methodologies for cardiac sound signals analysis and characterization in cepstrum and time-scale domains.

El-Sayed A. El-Dahshan, Mahmoud M. Bassiouni

Comput. Intell., 2020

2018

Intelligent hybrid approaches for human ECG signals identification.

Mahmoud M. Bassiouni, El-Sayed A. El-Dahshan, Wael Khalifa, Abdel-Badeeh M. Salem

Signal Image Video Process., 2018

Computational intelligence techniques for human brain MRI classification.

El-Sayed A. El-Dahshan, Mahmoud M. Bassiouni

Int. J. Imaging Syst. Technol., 2018