Nor Azlina Ab Aziz

Affiliation

Faculty of Engineering and Technology, Multimedia University, Melaka, Malaysia

Topic

Convolutional Neural Network,Deep Learning,Extreme Learning Machine,Physiological Signals,Autonomic Nervous System,Balanced Representation,Bayesian Neural Network,Binary Classification,Biosignatures,CSV File,Classification Accuracy,Concern In The Field,Convolutional Autoencoder,Deep Convolutional Neural Network,Deep Learning Approaches,Deep Recurrent Neural Network,Detection Methods,Detection System,Driver Behavior,Driver Drowsiness Detection,Driver Fatigue,Driver State,Drowsiness Detection,Electrocardiogram Features,Electrocardiogram Signals,Electrooculography,Emotion Categories,Emotion Recognition,Emotion Recognition System,Emotional States,Empirical Mode Decomposition,Facial Expressions,Faster R-CNN,Feature Extraction Techniques,Graphical User Interface,HSV Color,Heart Rate Variability,High Valence,Highest Accuracy,Hough Transform,Interbeat Intervals,Lane Detection,Lane Detection System,List Length,Low Valence,Machine Learning,Machine Learning Models,Massive Open Online Courses,Model Evaluation,Neural Network,

Biography

Nor Azlina Ab. Aziz received the B.Eng. degree (Hons.) in electronics majoring in computer and the M.Eng.Sc degree from Multimedia University, Malaysia, and the Ph.D. degree from the University of Malaya, Malaysia. Her Ph.D. and master’s research works were in the field of computational intelligence.
She is currently a Lecturer with the Faculty of Engineering and Technology, Multimedia University, Melaka, Malaysia. She is also the Chair of the Engineering Computational Intelligence Special Interest Group, Multimedia University. Her research interests include the fundamental aspects and applications of computational intelligence in engineering.