Analysis of multiple types of voice recordings in cepstral domain using MFCC for discriminating between patients with Parkinson's disease and healthy people. - Achraf Benba; Abdelilah Jilbab; Ahmed Hammouch (Int. J. Speech Technol., 2016)

Voice assessments for detecting patients with Parkinson's diseases using PCA and NPCA. - Achraf Benba; Abdelilah Jilbab; Ahmed Hammouch (Int. J. Speech Technol., 2016)

Detecting multiple system atrophy, Parkinson and other neurological disorders using voice analysis. - Achraf Benba; Abdelilah Jilbab; Ahmed Hammouch (Int. J. Speech Technol., 2017)

Voice assessments for detecting patients with neurological diseases using PCA and NPCA. - Achraf Benba; Abdelilah Jilbab; Ahmed Hammouch (Int. J. Speech Technol., 2017)

Quantification system of Parkinson's disease. - Abdelilah Jilbab; Achraf Benba; Ahmed Hammouch (Int. J. Speech Technol., 2017)

Voice signal processing for detecting possible early signs of Parkinson's disease in patients with rapid eye movement sleep behavior disorder. - Achraf Benba; Abdelilah Jilbab; Sara Sandabad; Ahmed Hammouch (Int. J. Speech Technol., 2019)

Machine learning-based edge-computing on a multi-level architecture of WSN and IoT for real-time fall detection. - Amina El Attaoui; Salma Largo; Soufiane Kaissari; Achraf Benba; Abdelilah Jilbab; Abdennaser Bourouhou (IET Wirel. Sens. Syst., 2020)

Using novel method: Real Cepstral Discrete Cosine Transform, for detecting Parkinson from multiple system atrophy, other neurological diseases and healthy cases using voice analysis. - Achraf Benba; Imane Laaqira; Abdelilah Jilbab; Ahmed Hammouch (Int. J. Speech Technol., 2022)

Comparative Classification of Alzheimer's Disease. - Ayoub Assmi; Achraf Benba; Abdelilah Jilbab (ISIVC, 2024)

Alzheimer's disease classification: a comprehensive study. - Ayoub Assmi; Khaoula Elhabyb; Achraf Benba; Abdelilah Jilbab (Multim. Tools Appl., 2024)