Emad Mohamed

Professeur associé, Université Indiana, USA

TAL

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
    Atallah, A. A., Hamad, G. B., Mohamed, O. A., Boukadoum, M. (2019) High-Level Availability Analysis of FPGA-Based Time-Sensitive Networks.
    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
  • 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) Brain tissue classification of alzheimer disease using partial volume possibilistic modeling: Application to ADNI phantom images.
    DOI
  • 2017
    Lazli, L., Boukadoum, M., Laskri, M., Mohamed, O. A. (2017) Diagnosis of Auditory Pathologies with Hidden Markov Models. Lecture notes in computer science, 118-133. Springer Science+Business Media.
    DOI
  • 2017
    Lazli, L., Boukadoum, M., Mohamed, O. A., Laskri, M. (2017) Efficient Feature Vector Clustering for Automatic Speech Recognition Systems.
    DOI
  • 2017
    Lazli, L., Boukadoum, M., Mohamed, O. A. (2017) Fuzzy clustering optimized with genetic algorithms: Application for hybrid speech recognition system.
    DOI