Mohamed Hamadouche

Publications

• 2026
  Mohamed, M., Beaudry, É., Brenneis, D., Hebert, J., Westover, L. (2026) Analyzing the Sensitivity, Reliability, and Classification Accuracy of Vibration-Based Metrics for Stability Assessment of Percutaneous Osseointegrated Transfemoral Implants. Journal of Medical Devices, 1-41. ASM International.
  DOI
• 2024
  Samadi, A., Harous, A., Mohamed, O. A., Boukadoum, M. (2024) Advanced SEU and MBU Vulnerability Assessment of Deep Neural Networks in Air-to-Air Collision Avoidance Systems via SAT-Based Techniques.
  DOI
• 2024
  Mohamed, M., Beaudry, É., Shehata, A. W., Raboud, D. W., Hebert, J. S., Westover, L. (2024) Evaluation of the Transfemoral Bone–Implant Interface Properties Using Vibration Analysis. Annals of Biomedical Engineering, 2987-3008. Springer Science+Business Media.
  DOI
• 2022
  Dammak, C., Mohamed, O. A., Boukadoum, M. (2022) SEU Reliability Assessment Framework for COTS Many-core Processors.
  DOI
• 2020
  Lazli, L., Boukadoum, M., Mohamed, O. A. (2020) A Survey on Computer-Aided Diagnosis of Brain Disorders through MRI Based on Machine Learning and Data Mining Methodologies with an Emphasis on Alzheimer Disease Diagnosis and the Contribution of the Multimodal Fusion. Applied Sciences, 1894-1894. Multidisciplinary Digital Publishing Institute.
  DOI
• 2019
  Lazli, L., Boukadoum, M., Mohamed, O. A. (2019) Computer-Aided Diagnosis System of Alzheimer’s Disease Based on Multimodal Fusion: Tissue Quantification Based on the Hybrid Fuzzy-Genetic-Possibilistic Model and Discriminative Classification Based on the SVDD Model. Brain Sciences, 289-289. Multidisciplinary Digital Publishing Institute.
  DOI
• 2019
  Atallah, A. A., Hamad, G. B., Mohamed, O. A., Boukadoum, M. (2019) High-Level Availability Analysis of FPGA-Based Time-Sensitive Networks.
  DOI
• 2018
  Lazli, L., Boukadoum, M., Mohamed, O. A. (2018) Computer-Aided Diagnosis System for Alzheimer’s Disease Using Fuzzy-Possibilistic Tissue Segmentation and SVM Classification.
  DOI
• 2017
  Lazli, L., Boukadoum, M., Mohamed, O. A. (2017) Fuzzy clustering optimized with genetic algorithms: Application for hybrid speech recognition system.
  DOI
• 2017
  Lazli, L., Boukadoum, M., Mohamed, O. A. (2017) HMM/MLP speech recognition system using a novel data clustering approach.
  DOI
• 2017
  Lazli, L., Boukadoum, M., Mohamed, O. A. (2017) Hybrid possibilistic-genetic technique for assessment of brain tissues volume: Case study for Alzheimer patients images clustering.
  DOI
• 2017
  Lazli, L., Boukadoum, M., Mohamed, O. A. (2017) Brain tissue classification of alzheimer disease using partial volume possibilistic modeling: Application to ADNI phantom images.
  DOI