| The detection of Parkinson disease using the genetic algorithm and SVM classifier Z Soumaya, BD Taoufiq, N Benayad, K Yunus, A Abdelkrim Applied Acoustics 171, 107528, 2021 | 123 | 2021 |
| Diagnosis of Parkinson’s Disease based on Wavelet Transform and Mel Frequency Cepstral Coefficients Taoufiq BELHOUSSINE DRISSI, S Zayrit, B Nsiri, A Ammoummou International Journal of Advanced Computer Science and Applications 10 (3), 2019 | 30 | 2019 |
| A hybrid method for the diagnosis and classifying parkinson's patients based on time–frequency domain properties and K-nearest neighbor Z Soumaya, BD Taoufiq, N Benayad, B Achraf, A Ammoumou Journal of Medical Signals & Sensors 10 (1), 60-66, 2020 | 17 | 2020 |
| Diagnosis of Parkinson disease using the wavelet transform and MFCC and SVM classifier Z Soumaya, BD Taoufiq, B Nsiri, A Abdelkrim 2019 4th World Conference on Complex Systems (WCCS), 1-6, 2019 | 16 | 2019 |
| ECG signal diagnosis using Discrete Wavelet Transform and K-Nearest Neighbor classifier nsiri benayad toulni youssef, belhoussine drissi taoufiq The 4th International Conference on Networking, Information Systems & Security, 2021 | 14 | 2021 |
| Electrocardiogram signals classification using discrete wavelet transform and support vector machine classifier Y Toulni, N Benayad, BD Taoufiq Int J Artif Intell ISSN 2252 (8938), 8938, 2021 | 12 | 2021 |
| An intelligent approach based on the combination of the discrete wavelet transform, delta delta MFCC for Parkinson's disease diagnosis B Nouhaila, BD Taoufiq, N Benayad International Journal of Advanced Computer Science and Applications 13 (4), 2022 | 9 | 2022 |
| Features selection by genetic algorithm optimization with k-nearest neighbour and learning ensemble to predict Parkinson disease N Benayad, Z Soumaya, BD Taoufiq, A Abdelkrim International Journal of Electrical and Computer Engineering (IJECE) 12 (2 …, 2022 | 7 | 2022 |
| Daubechies Wavelet Cepstral Coefficients for Parkinson’s Disease Detection S Zayrit, BD Taoufiq, A Ammoumou, B Nsiri complex systems 29 (3), 729-739, 2020 | 7 | 2020 |
| Speech analysis for the detection of Parkinson’s disease by combined use of empirical mode decomposition, Mel frequency cepstral coefficients, and the K-nearest neighbor classifier N Boualoulou, B Nsiri, TB Drissi, S Zayrit ITM Web of Conferences 43, 01019, 2022 | 5 | 2022 |
| CNN and LSTM for the classification of parkinson's disease based on the GTCC and MFCC N Boualoulou, TB Drissi, B Nsiri Applied Computer Science 19 (2), 1-24, 2023 | 4 | 2023 |
| Cepstral coefficient extraction using the MFCC with the discrete wavelet transform for the Parkinson’s Disease diagnosis BD Taoufiq, Z Soumaya, N Benayad, B Nouhaila International Journal of Engineering Trends and Technology 70 (7), 283-290, 2022 | 3 | 2022 |
| ECG Signal Classification Using DWT, MFCC and SVM Classifier Y Toulni, B Nsiri, TB Drissi Traitement du Signal 40 (1), 335, 2023 | 2 | 2023 |
| DWT-BSS: Blind Source Separation applied to EEG signals by extracting wavelet transform’s approximation coefficients H Massar, B Nsiri, TB Drissi Journal of Physics: Conference Series 2550 (1), 012031, 2023 | 1 | 2023 |
| A novel Parkinson's disease detection algorithm combined EMD, BFCC, and SVM classifier N Boualoulou, M Mounia, B Nsiri, T Behoussine Drissi Diagnostyka 24, 2023 | 1 | 2023 |
| Predicting Parkinson's disease based on transformed speech signal by DWT with two methods for features selection: GA-AdaBoost and BPSO Z Soumaya, N Benayad, BD Taoufiq, A Abdelkrim 2022 7th International Conference on Mathematics and Computers in Sciences …, 2022 | 1 | 2022 |
| Direct Torque Control for Induction Motor MA Isha, A Ouchatti, TB Drissi 2021 International Conference on Digital Age & Technological Advances for …, 2021 | 1 | 2021 |
| Study of the Transmission of Ultrasonic Guided Wave at the Junction of Two Different Elastic Plates with the Presence of a Defect T Belhoussine Drissi, B Morvan, M Predoi, JL Izbicki, P Pareige Key Engineering Materials 482, 21-29, 2011 | 1 | 2011 |
| EMD-BSS: A hybrid methodology combining Empirical Mode Decomposition and Blind Source Separation to eliminate the ocular artifacts from EEG recordings H Massar, C Stergiadis, B Nsiri, TB Drissi, MA Klados Biomedical Signal Processing and Control 95, 106475, 2024 | | 2024 |
| Improvements of EEG Signal Quality: A Hybrid Method of Blind Source Separation and Variational Mode Destruction to Reduce Artifacts. H Massar, TB Drissi, B Nsiri, M Miyara International Journal of Online & Biomedical Engineering 20 (8), 2024 | | 2024 |
Benayad NsiriENSAM-Rabat Université Mohammed V de Rabat在 telecom-bretagne.eu 的电子邮件经过验证
