Dr. Mahfuzah Mustafa

About Dr. Mahfuzah Mustafa

Dr. Mahfuzah Mustafa, With an exceptional h-index of 16 and a recent h-index of 12 (since 2020), a distinguished researcher at Universiti Malaysia Pahang, specializes in the field of Biosignal, Biomedical Image, Signal processing, Image processing, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Rare but Not Forgotten: A Case of Pulmonary Kaposi Sarcoma in the Era of Antiretroviral Therapy

Enhancement of Morlet Mother Wavelet in Time–Frequency Domain in Electroencephalogram (EEG) Signals for Driver Fatigue Classification

EEG and EMG-Based Multimodal Driver Drowsiness Detection: A CWT and Improved VGG-16 Pipeline

An Effectiveness of EEG Signal Based on Body Earthing Application

A Study of Engineering Student IQ and EQ Based on Analyzing of Electroencephalogram (EEG) Signals

Human Mental Stage Interpretation Based on the Analysis of Electroencephalogram (EEG) Signals

A robust framework for driver fatigue detection from EEG signals using enhancement of modified z-score and multiple machine learning architectures

Investigation of time-domain and frequency-domain based features to classify the eeg auditory evoked potentials (aeps) responses

Dr. Mahfuzah Mustafa Information

University

Position

Senior Lecturer at Faculty of Electrical & Electronics Engineering

Citations(all)

823

Citations(since 2020)

559

Cited By

540

hIndex(all)

16

hIndex(since 2020)

12

i10Index(all)

27

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Dr. Mahfuzah Mustafa Skills & Research Interests

Biosignal

Biomedical Image

Signal processing

Image processing

Robotics

Top articles of Dr. Mahfuzah Mustafa

Title

Journal

Author(s)

Publication Date

Rare but Not Forgotten: A Case of Pulmonary Kaposi Sarcoma in the Era of Antiretroviral Therapy

H Mhanna

M Pelidis

MS Alnabulsi

M Mustafa

L Prabhakar

...

2024/5

Enhancement of Morlet Mother Wavelet in Time–Frequency Domain in Electroencephalogram (EEG) Signals for Driver Fatigue Classification

Rafiuddin Abdubrani

Mahfuzah Mustafa

Zarith Liyana Zahari

2023/3/22

EEG and EMG-Based Multimodal Driver Drowsiness Detection: A CWT and Improved VGG-16 Pipeline

Mamunur Rashid

Mahfuzah Mustafa

Norizam Sulaiman

Md Nahidul Islam

2023/2/14

An Effectiveness of EEG Signal Based on Body Earthing Application

Int J Ad v Sci Eng Inform Technol

Zarith Liyana Zaharia

Mahfuzah Mustafa

Noor Aisyah Ab Rahmana

Rafiuddin Abdubrania

Zaridah Mat Zainc

2023

A Study of Engineering Student IQ and EQ Based on Analyzing of Electroencephalogram (EEG) Signals

MEKATRONIKA

Afiqah Norsepri

Norizam Sulaiman

Mahfuzah Mustafa

Md Mahmudul Hasan

Siti Armiza Mohd Aris

2023/11/29

Human Mental Stage Interpretation Based on the Analysis of Electroencephalogram (EEG) Signals

Norizam Sulaiman

Mahfuzah Mustafa

Fahmi Samsuri

Siti Armiza Mohd Aris

Nik Izzat Amirul Mohd Zailani

2023/8/7

A robust framework for driver fatigue detection from EEG signals using enhancement of modified z-score and multiple machine learning architectures

IIUM Engineering Journal

Rafiuddin Abdubrani

Mahfuzah Mustafa

Zarith Liyana Zahari

2023/7/4

Investigation of time-domain and frequency-domain based features to classify the eeg auditory evoked potentials (aeps) responses

Md Nahidul Islam

Norizam Sulaiman

Mamunur Rashid

Mahfuzah Mustafa

MohdShawal Jadin

2022

Analysis of personal protective equipment classification method using deep learning

Siti ZNA Silopung

Rosdiyana Samad

Mahfuzah Mustafa

Nor RH Abdullah

Norasyikin Fadilah

2022/1/1

Diagnosis of Hearing Impairment Based on Wavelet Transformation and Machine Learning Approach

Md Nahidul Islam

Norizam Sulaiman

Mahfuzah Mustafa

2022/3/9

The classification of Electrooculogram (EOG) through the application of Linear discriminant analysis (LDA) of selected time-domain signals

Farhan Anis Azhar

Mahfuzah Mustafa

Norizam Sulaiman

Mamunur Rashid

Bifta Sama Bari

...

2022

EMG signal segmentation to predict driver’s vigilance state

NA Ab Rahman

M Mustafa

N Sulaiman

R Samad

NRH Abdullah

2022

A hybrid scheme for AEP based hearing deficiency diagnosis: CWT and convoluted K-nearest neighbour (CKNN) pipeline

Neuroscience Informatics

Md Nahidul Islam

Norizam Sulaiman

Bifta Sama Bari

Mamunur Rashid

Mahfuzah Mustafa

2022/3/1

Auditory Evoked Potentials (AEPs) Response Classification: A Fast Fourier Transform (FFT) and Support Vector Machine (SVM) Approach

Md Nahidul Islam

Norizam Sulaiman

Mamunur Rashid

Mahfuzah Mustafa

Md Jahid Hasan

2022

The study of time domain features of EMG signals for detecting driver’s drowsiness

Faradila Naim

Mahfuzah Mustafa

Norizam Sulaiman

Noor Aisyah Ab Rahman

2022

The multimodal parameter enhancement of electroencephalogram signal for music application

IAES International Journal of Artificial Intelligence

Zarith Liyana Zahari

Mahfuzah Mustafa

Rafiuddin Abdubrani

2022/6/1

Performance analysis of the PV module mitigation method affected by hotspot condition

Mohd Munif Rosli

Mohd Shawal Jadin

Mahfuzah Mustafa

Norizam Sulaiman

Mohd Shafie Bakar

2022/1/1

Development of EEG-Based System to Identify Student Learning Attention Ability

Norizam Sulaiman

Nuraini Ismail

Md Nahidul Islam

Mamunur Rashid

Mohd Shawal Jadin

...

2022

Dual-Layer Ranking Feature Selection Method Based on Statistical Formula for Driver Fatigue Detection of EMG Signals.

Traitement du Signal

Faradila Naim

Mahfuzah Mustafa

Norizam Sulaiman

Zarith Liyana Zahari

2022/6/1

Improving system static security via optimal placement of static VAR compensator using Multi Verse Optimizer (MVO)

SN Hazirah Asmadi

NR Hasma Abdullah

Ibrahim Haruna Shanono

Mahfuzah Mustafa

Rosdiyana Samad

2022/1/1

See List of Professors in Dr. Mahfuzah Mustafa University(Universiti Malaysia Pahang)

Co-Authors

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