Nik Nur Wahidah Nik Hashim

• Petroliam Nasional Berhad

Depression has been affecting people all around the world, including Malaysians. Early detection mechanisms are vital for assisting clinical professionals in identifying depressed patients at an early stage. Although this can be accomplished through interviews and questionnaires, the time-consuming method has several additional disadvantages. Acous...

Chatbot has been the driving force of modern communication for business, customer service and even mental healthcare. At the same time, there are not many research and project regarding mental health chatbots in Bahasa Malaysia. This project focuses on developing a chatbot application for mental healthcare in Bahasa Malaysia. This chatbot system is...

Chatbot has been the driving force of modern days communication either for business, customer service or even mental healthcare. At the same time there are not many research and project regarding mental health chatbot in Bahasa Malaysia. This project focuses on developing a chatbot application on mental healthcare in Bahasa Malaysia. This chatbot s...

Face Recognition (FR) has recently gained traction as a widely used biometric for security-based applications such as facial recognition payment. The widespread use is due to improvements in deep convolutional neural networks (CNN) and large datasets. However, FR is still an ill-posed problem, especially in an open world scenario. Existing FR metho...

Depression is viewed as the largest cause of the world mental illness statistic, and it keeps increasing globally including Malaysia. Two main issues that prevent early diagnosis of depression in Malaysia are the limited number of psychologist ratios to patients and the stigma from the society that relates depression with insanity. In addition, res...

Early detection of depression allows rapid intervention and reduce the escalation of the disorder. Conventional method requires patient to seek diagnosis and treatment by visiting a trained clinician. Bio-sensors technology such as automatic depression detection using speech can be used to assist early diagnosis for detecting remotely those who are...

Introduction: Depression risk has been significantly associated with sociodemographic aspects such as education levels and self-rated health. The aim was to investigate the relationship of socio-demographic characteristics particularly level of education, and self-rated health on depressive symptoms among Malaysian adults. Methods: This is a cro...

Depression is a common mental disorder that has a negative impact on individuals, society, and the economy. Traditional clinical diagnosis methods are subjective and necessitate extensive expert participation. Because it is fast, convenient, and non-invasive, automatic depression detection using speech signals is a promising depression objective bi...

Vision-based Lane Departure Warning System (LDW) is a promising tool to avoid road accidents. In practice, it is exceptionally hard to accurately and efficiently detect lanes due a variety of complex noise such as environmental variability. However, image processing techniques have shown promising and reliable outcome in detecting lanes during non-...