Browse by ID Staff

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Rafiuddin, Abdubrani and Mahfuzah, Mustafa and Zarith Liyana, Zahari (2023) Enhancement of morlet mother wavelet in time–frequency domain in electroencephalogram (EEG) signals for driver fatigue classification. In: Advances in Intelligent Manufacturing and Mechatronics, Lecture Notes in Electrical Engineering. Innovative Manufacturing, Mechatronics and Materials Forum, iM3F 2022 , 20 July 2022 , Pekan, Pahang. pp. 151-161., 988. ISSN 1876-1100 ISBN 978-981198702-1 (Published)

Rafiuddin, Abdubrani and Mahfuzah, Mustafa and Zarith Liyana, Zahari (2024) Enhancing driver fatigue detection accuracy in on-road driving systems using an LSTM-DNN hybrid model with modified Z-Score and morlet wavelet. In: Proceedings of the 7th International Conference on Electrical, Control and Computer Engineering–Volume 1. InECCE 2023. Lecture Notes in Electrical Engineering. 7th International Conference on Electrical, Control & Computer Engineering 2023 (InECCE 2023) , 22nd August 2023 , Petaling Jaya, Selangor, Malaysia. pp. 359-371., 1212. ISBN 978-981-97-3846-5 (Published)

Rafiuddin, Abdubrani and Mahfuzah, Mustafa and Zarith Liyana, Zahari (2024) A hybrid deep learning model for detecting driver fatigue using electroencephalogram signals. International Journal of Integrated Engineering, 16 (9). pp. 302-313. ISSN 2229-838X (Print); 2600-7916 (Online). (Published)

Rafiuddin, Abdubrani and Mahfuzah, Mustafa and Zarith Liyana, Zahari (2023) A robust framework for driver fatigue detection from EEG signals using enhancement of modified Z-score and multiple machine learning architectures. IIUM Engineering Journal, 24 (2). pp. 354-372. ISSN 1511-788X. (Published)

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Zarith Liyana, Zahari and Mahfuzah, Mustafa and Rafiuddin, Abdubrani (2022) The multimodal parameter enhancement of electroencephalogram signal for music application. IAES International Journal of Artificial Intelligence, 11 (2). pp. 414-422. ISSN 2089-4872. (Published)