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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)

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)

Zarith Liyana, Zahari and Mahfuzah, Mustafa and Noor Aisyah, Ab Rahman and Rafiuddin, Abdubrani and Zaridah, Mat Zain (2022) An effectiveness of EEG signal based on body earthing application. International Journal on Advanced Science, Engineering and Information Technology, 12 (6). 2322 -2326. ISSN 2088-5334. (Published)

Mahfuzah, Mustafa and Zarith Liyana, Zahari and Rafiuddin, Abdubrani (2021) Optimal accuracy performance in music-based EEG signal using Matthew correlation coefficient advanced (MCCA). Jurnal Teknologi, 83 (6). pp. 53-61. ISSN 0127-9696. (Published)

Zarith Liyana, Zahari and Mahfuzah, Mustafa and Zaridah, Mat Zain and Rafiuddin, Abdubrani and Faradila, Naim (2021) The enhancement on stress levels based on physiological signal and self-stress assessment. Traitement du Signal, 38 (5). pp. 1439-1447. ISSN 0765-0019. (Published)

Ting, Jun Hou and Mahfuzah, Mustafa and Zarith Liyana, Zahari and Pebrianti, Dwi and Zainah, Md. Zain and Nurul Hazlina, Noordin and Rafiuddin, Abdubrani (2019) Time-Frequency Analysis from Earthing Application. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018 , 27-28 September 2018 , Universiti Malaysia Pahang. pp. 421-436., 538. ISBN 978-981-13-3708-6 (Published)

Muhammad Amzar Syazani, Mohd Azli and Mahfuzah, Mustafa and Rafiuddin, Abdubrani and Amran, Abdul Hadi and S. N., Aqida and Zarith Liyana, Zahari (2018) Electromyograph (EMG) signal analysis to predict muscle fatigue during driving. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018. Lecture Notes in Electrical Engineering . Springer Singapore, Singapore, pp. 405-420. ISBN 978-981-13-3708-6