Muhammad Zulkifal Aziz

Orcid: 0000-0002-3829-6287

According to our database1, Muhammad Zulkifal Aziz authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Transforming Motor Imagery Analysis: A Novel EEG Classification Framework Using AtSiftNet Method.
Sensors, October, 2024

A novel precisely designed compact convolutional EEG classifier for motor imagery classification.
Signal Image Video Process., June, 2024

2022
Computerized Multidomain EEG Classification System: A New Paradigm.
IEEE J. Biomed. Health Informatics, 2022

Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

A Matrix Determinant Feature Extraction Approach for Decoding Motor and Mental Imagery EEG in Subject-Specific Tasks.
IEEE Trans. Cogn. Dev. Syst., 2022

Exploiting Asymmetric EEG Signals with EFD in Deep Learning Domain for Robust BCI.
Symmetry, 2022

Exploiting pretrained CNN models for the development of an EEG-based robust BCI framework.
Comput. Biol. Medicine, 2022

An extended computer-aided diagnosis system for multidomain EEG classification.
Proceedings of the Fifteenth International Conference on Machine Vision, 2022

2021
A New Framework for Automatic Detection of Motor and Mental Imagery EEG Signals for Robust BCI Systems.
IEEE Trans. Instrum. Meas., 2021

Toward the Development of Versatile Brain-Computer Interfaces.
IEEE Trans. Artif. Intell., 2021

2020
Identification of Motor and Mental Imagery EEG in Two and Multiclass Subject-Dependent Tasks Using Successive Decomposition Index.
Sensors, 2020


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