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2020 – today
- 2024
[j9]Ayoub Assmi
, Khaoula Elhabyb, Achraf Benba, Abdelilah Jilbab:
Alzheimer's disease classification: a comprehensive study. Multim. Tools Appl. 83(27): 70193-70216 (2024)- [c1]Ayoub Assmi, Achraf Benba, Abdelilah Jilbab:
Comparative Classification of Alzheimer's Disease. ISIVC 2024: 1-6 - 2022
- [j8]Achraf Benba, Imane Laaqira, Abdelilah Jilbab, Ahmed Hammouch:
Using novel method: Real Cepstral Discrete Cosine Transform, for detecting Parkinson from multiple system atrophy, other neurological diseases and healthy cases using voice analysis. Int. J. Speech Technol. 25(1): 163-172 (2022) - 2020
- [j7]Amina El Attaoui, Salma Largo, Soufiane Kaissari, Achraf Benba, Abdelilah Jilbab, Abdennaser Bourouhou:
Machine learning-based edge-computing on a multi-level architecture of WSN and IoT for real-time fall detection. IET Wirel. Sens. Syst. 10(6): 320-332 (2020)
2010 – 2019
- 2019
- [j6]Achraf Benba, Abdelilah Jilbab, Sara Sandabad, Ahmed Hammouch:
Voice signal processing for detecting possible early signs of Parkinson's disease in patients with rapid eye movement sleep behavior disorder. Int. J. Speech Technol. 22(1): 121-129 (2019) - 2017
- [j5]Abdelilah Jilbab, Achraf Benba, Ahmed Hammouch:
Quantification system of Parkinson's disease. Int. J. Speech Technol. 20(1): 143-150 (2017) - [j4]Achraf Benba, Abdelilah Jilbab, Ahmed Hammouch:
Detecting multiple system atrophy, Parkinson and other neurological disorders using voice analysis. Int. J. Speech Technol. 20(2): 281-288 (2017) - [j3]Achraf Benba, Abdelilah Jilbab, Ahmed Hammouch:
Voice assessments for detecting patients with neurological diseases using PCA and NPCA. Int. J. Speech Technol. 20(3): 673-683 (2017) - 2016
- [j2]Achraf Benba, Abdelilah Jilbab, Ahmed Hammouch:
Analysis of multiple types of voice recordings in cepstral domain using MFCC for discriminating between patients with Parkinson's disease and healthy people. Int. J. Speech Technol. 19(3): 449-456 (2016) - [j1]Achraf Benba, Abdelilah Jilbab, Ahmed Hammouch:
Voice assessments for detecting patients with Parkinson's diseases using PCA and NPCA. Int. J. Speech Technol. 19(4): 743-754 (2016)
Coauthor Index
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