Muhammad Muzammel
Orcid: 0000-0003-3479-0840
According to our database1,
Muhammad Muzammel
authored at least 12 papers
between 2017 and 2023.
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Bibliography
2023
An Ambient Intelligence-Based Approach for Longitudinal Monitoring of Verbal and Vocal Depression Symptoms.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023
2022
Blind-Spot Collision Detection System for Commercial Vehicles Using Multi Deep CNN Architecture.
Sensors, 2022
A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data.
Comput. Methods Programs Biomed., 2022
2021
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review.
Comput. Methods Programs Biomed., 2021
End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis.
Comput. Methods Programs Biomed., 2021
Identification of Signs of Depression Relapse using Audio-visual Cues: A Preliminary Study.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
2020
AudVowelConsNet: A Phoneme-Level Based Deep CNN Architecture for Clinical Depression Diagnosis.
CoRR, 2020
Neural Networks based approaches for Major Depressive Disorder and Bipolar Disorder Diagnosis using EEG signals: A review.
CoRR, 2020
2018
Event-Related Potential Responses of Motorcyclists Towards Rear End Collision Warning System.
IEEE Access, 2018
2017
J. Electronic Imaging, 2017
Motorcyclists safety system to avoid rear end collisions based on acoustic signatures.
Proceedings of the Thirteenth International Conference on Quality Control by Artificial Vision, 2017
Studying the response of drivers against different collision warning systems: a review.
Proceedings of the Thirteenth International Conference on Quality Control by Artificial Vision, 2017