| EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review S Yasin, SA Hussain, S Aslan, I Raza, M Muzammel, A Othmani Computer Methods and Programs in Biomedicine 202, 106007, 2021 | 116 | 2021 |
| AudVowelConsNet: A phoneme-level based deep CNN architecture for clinical depression diagnosis M Muzammel, H Salam, Y Hoffmann, M Chetouani, A Othmani Machine Learning with Applications 2, 100005, 2020 | 62 | 2020 |
| End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis M Muzammel, H Salam, A Othmani Computer Methods and Programs in Biomedicine 211, 106433, 2021 | 48 | 2021 |
| A model of normality inspired deep learning framework for depression relapse prediction using audiovisual data A Othmani, AO Zeghina, M Muzammel Computer Methods and Programs in Biomedicine 226, 107132, 2022 | 19 | 2022 |
| Enhancing EEG signals in brain computer interface using intrinsic time-scale decomposition EA Mohamed, MZ Yusoff, IK Adam, EA Hamid, F Al-Shargie, M Muzammel Journal of Physics: Conference Series 1123 (1), 012004, 2018 | 19 | 2018 |
| Identification of signs of depression relapse using audio-visual cues: A preliminary study M Muzammel, A Othmani, H Mukherjee, H Salam 2021 IEEE 34th International Symposium on Computer-Based Medical Systems …, 2021 | 14 | 2021 |
| Rear-end vision-based collision detection system for motorcyclists M Muzammel, MZ Yusoff, F Meriaudeau Journal of Electronic Imaging 26 (3), 033002-033002, 2017 | 11 | 2017 |
| Event-related potential responses of motorcyclists towards rear end collision warning system M Muzammel, MZ Yusoff, F Meriaudeau Ieee Access 6, 31609-31620, 2018 | 9 | 2018 |
| Electroencephalography (EEG) based drowsiness detection for drivers: A review Z Shameen, MZ Yusoff, MNM Saad, AS Malik, M Muzammel ARPN Journal of Engineering and Applied Sciences 13 (4), 2018 | 8 | 2018 |
| Blind-Spot Collision Detection System for Commercial Vehicles Using Multi Deep CNN Architecture M Muzammel, MZ Yusoff, MNM Saad, F Sheikh, MA Awais Sensors 22 (16), 6088, 2022 | 6 | 2022 |
| Motorcyclists safety system to avoid rear end collisions based on acoustic signatures M Muzammel, MZ Yusoff, AS Malik, MNM Saad, F Meriaudeau Thirteenth International Conference on Quality Control by Artificial Vision …, 2017 | 3 | 2017 |
| Studying the response of drivers against different collision warning systems: A review M Muzammel, MZ Yusoff, AS Malik, MNM Saad, F Meriaudeau Thirteenth International Conference on Quality Control by Artificial Vision …, 2017 | 2 | 2017 |
| Neural networks based approaches for major depressive disorder and bipolar disorder diagnosis using eeg signals: A review S Yasina, SA Hussaina, S Aslanc, I Razaa, M Muzammele, A Othmanie arXiv preprint arXiv:2009.13402, 2020 | 1 | 2020 |
| An Ambient Intelligence-Based Approach for Longitudinal Monitoring of Verbal and Vocal Depression Symptoms A Othmani, M Muzammel International Workshop on PRedictive Intelligence In MEdicine, 206-217, 2023 | | 2023 |
| PROCEDE POUR DETERMINER LE NIVEAU DE POLLUTIONDANS LE SOUS-SOL D’UN SITE A Othmani, A Triger, M Muzammel, T Westelynck | | 2022 |
| One-Shot Learning Approach for Depression Relapse Detection using Audio-visual Cues M Muzammel, A Othmani, AO Zeghina, H Salam Pattern Recognition Letters, 2021 | | 2021 |
| Visual and acoustic techniques for motorcycle collision warning system with EEG validation M Muzammel Université Bourgogne Franche-Comté; Universiti Teknologi Malaysia, 2018 | | 2018 |
| Développement d'un système d'avertissemment sonore, validé par EEG, basé sur des approches vision et acoustique pour la detection de véhicules approchants des véhicules moteur … M Muzammel Bourgogne Franche-Comté, 2018 | | 2018 |
| Visual and Acoustic based Techniques for Motorcycle Collision Warning System with EEG Validation M MUZAMMEL Universiti Teknologi PETRONAS, 2018 | | 2018 |
| AUDIO VISUAL TRACKING OF A SPEAKER BASED ON FFT AND KALMAN FILTER M Muzammel, MZ Yusoff, MNM Saad, AS Malik ARPN Journal of Engineering and Applied Sciences 6, 8947-8951, 2016 | | 2016 |
Mohd Zuki YusoffAssociate Professor, Electrical & Electronic Engineering Department, Universiti Teknologi Petronas在 utp.edu.my 的电子邮件经过验证
