All of the articles in this proceedings volume have been presented at the International Conference on Computer, Information Technology and Intelligent Computing 2022 (CITIC 2022) during 25th–27th July 2022 in Multimedia University, Cyberjaya, Malaysia (online).

There are many mobile applications that are used in the daily lives of Muslims to fulfill their obligations and Islamic lifestyle. However, the user interface of most of these mobile applications has been found to have certain issues with elderly users, in other words, not elderly-friendly. The usability...

The Internet of Things (IoT) is a system where devices and sensors are interconnected to improve accuracy, efficiency, precision and consistency. It is being developed rapidly as more people are aware of this system. From farmers, all the way to the automotive engineers are all benefiting from the usage...

The first COVID-19 case was detected in Malaysia on 25th January 2020. Given the serious situation of COVID-19, Malaysia Government implemented the Movement Control Order (MCO) in the same year by restricting citizen movement. The COVID-19 outbreak in Malaysia under MCO 1.0 is successfully controlled...

Retail site selection is a critical stage for a new retailer since it helps them to decide which locations have the best chance of delivering a good return on investment. Most of the new retailers will face problems while selecting a retail site for new business. Work presented in this paper will focus...

Cybersecurity is getting more and more important in this big data era. Neural Network-based cryptosystem which is a complex system and deserve more research study for improvement. This article will discuss and analyse existing neural network-based cryptography performance and techniques. The in-depth...

The research for this study is to find out performance scores from machine learning techniques in predicting house prices as compared to its actual prices. One of the limitations of existing techniques is predictive models generated do not cover the situation within Malaysia. Therefore, a data collection...

Since 2020, the Covid-19 pandemic has spread like wildfire across many countries, including Malaysia. The disease has caused disastrous impacts on the country’s economy, public health system, and the livelihoods of its citizens. Hence, there is an urgent need to investigate and determine the underlying...

Intrusion detection system (IDS) has been intensively studied in the research community. The cyber threats that are evolving rapidly have caused a major challenge for IDS to achieve a reliable detection rate. Despite the application of various machine learning approaches to improve the efficiency of...

Nowadays, most of the companies use their preferred email platform to perform their daily tasks such as exchanging of messages and sharing of documents. However, it is quite often to hear the news that someone’s email account is being hacked. The malicious intention of the hackers is to hijack the users’...

To interpret actions and communications in a correct way, emotion is very crucial. Emotion class recognition capability without using conventional approaches such as Self-Assessment Manikin (SAM) has been provided by Emotion Recognition EEG. Emotion Recognition with no medical and clinical examinations,...

Independent Component Analysis (ICA) is used in this paper to study the brain signals of patients with Amyotrophic Lateral Sclerosis (ALS) in the EEGLAB toolbox. Electroencephalography (EEG) signals are recorded in unipolar mode, wherein the Cz electrode is selected as the reference electrode. Therefore,...

Nowadays, with the use of technology and the Internet, it is easy to start a business, more specifically an e-commerce business. However, maintaining a consistent sale and having returning customers can prove a challenge as most businesses rely on new customers for profits and does not generate a reliable...

Digital right management (DRM) is widely used by online streaming service provider that allows them to manage and control the access rights of their copyrighted content. The existing DRM technology requires the developer to gain approval from the DRM provider company in order to access to their proprietary...

Traceability is the ability to retrieve the history, use, location or activity of an identified item, hence crop traceability system is a system that provides unique identification to the crop and tracks all information from the seed until the end product in the market. Crop traceability is beneficial...

Traffic signs are a crucial part of maintaining driver and pedestrian safety on the road since they are being designed to provide essential information and alerts of potential hazards. With the rapid development of Advanced Driver Assistance Systems (ADAS), traffic sign recognition is also becoming much...

When getting an injury or chronic pain that affects daily activities, physiotherapy is always introduced. Usually, patients will attend a few physiotherapy sessions in the presence of their physiotherapist to learn rehabilitative exercises. Then, they are advised to have home exercises frequently for...

The Fourth Industrial Revolution (IR4.0) is a digital revolution that not only focuses on the manufacturing industry, but also involves all sectors including the service industry. The readiness of the industry players and their implementations of these technologies will be able to boost productivity...

In the recent COVID-19 pandemic, the world has seen the importance of technology usage where multiple activities were conducted virtually for life sustainability. There is an increase of activities happening in the virtual platform, supporting different types of businesses including retail and services....

This research present the notion of subjectivity and objectivity in Bahasa Melayu language. Word2Vec and BERT word embedding models are created for the purpose of subjectivity classification and sentiment classification. Two types of embeddings are developed (Word2Vec and BERT) with Wikipedia data as...

This research work is to identify and forecast student performance in Multimedia University (MMU) based on machine learning approach. Surveys had been carried out to collect students’ cumulative grade point average, background, history grades, opinion towards MMU environment, and lifestyle. In this study,...

It is vital to remain vigilant during pandemic COVID-19. Wearing a face mask is one of the crucial steps that people must take to ensure that they are a step away from spreading and infecting the virus. However, controlling and monitoring people in a densely crowded place is tough. Hence, a face mask...

This research intends to train a model to recognize traffic light signals in real-time to allow a person with Colour Vision Deficiency to identify the current signal of traffic lights with a mobile device's camera. First, LISA Traffic Light Dataset is downloaded obtained from Kaggle. Then, two data...

Mathematics is a fundamental core subject of STEM education. However, mathematics concepts are abstract and many students having difficulties to understand it. Moreover, some students are lack of confident, having negative feelings towards mathematics, feel not relax and cannot focus in mathematics class....

Printed Circuit Boards (PCBs) are crucial functional components in electrical devices that require inspection during production to prevent faulty products. However, Automated Optical Inspection (AOI) machines for PCB inspection are costly, especially for small production lines. Previous studies showed...

International Classification of Diseases (ICD) has been used as a standardized way of classifying a diagnosis or a medical procedure. ICD has also been employed to keep track of illness progression and treatment purposes. However, the assignment methods often require manual input of medical professionals...

Post-stroke individuals may suffer from long term or permanent physical impairments. Physical Rehabilitation is an important process to help post-stroke individuals to regain motor ability and reduce impairments. Traditional methods such as Constraint Induced Movement Therapy (CIMT) and modified Constraint...

This study shows a preliminary investigation of shadow detection in drone-acquired images using a deep learning method with minimal labelled shadow images. The aim is to discuss how the selected U-Net architecture performs in a small-sized dataset consisting of various types of shadow brightness and...

Flexible data integration from heterogeneous sources, formalization of database schema, and consequent support and facilitation of knowledge discovery have become crucial to gaining competitive advantage. Consequently, its validity (“building the right system”), verification (“building the system right”),...

In recent research studies, biosignals are used to study the behaviour of a human body function which are useful for medical diagnosis. Biosignals such as electrocardiogram (ECG) signals are used to determine the irregularities in heartbeat meanwhile electroencephalogram (EEG) signal is used to record...

Suicide remains one of the leading causes of death globally and is a serious public health problem. Compounded by the lack of mental health professionals and lack of access to mental health services, it is difficult for people with mental health issues to seek treatment. The advancements in artificial...

Heart disease is a major cause of death globally, with patients succumbing to death a few years of being diagnosed. This paper proposed a novel hybrid approach of Cuckoo Search Optimization – Extreme Learning Machine (CSO - ELM) to solve a classification problem. The approach was compared with established...

The commonly known stages in Requirements Engineering (RE) include planning, elicitation, documentation, validation, and management. Each stage consists of multiple processes and activities between stakeholders that result in data collection and analysis. Activities and data can be collected/extracted/analysed...

Ever since worldwide COVID-19 epidemic, social distancing has been prioritised and advised to practice everywhere on a daily basis. It has been and will continue to be one of the most efficient and effective measures to fight the pandemic and saving lives. In Malaysia, social distancing is a proactive...

Assessing the performance of students through subjective assessments namely essays is critical in measuring their achievement during the learning process in an educational system. The essay test will evaluate the student’s ability to remember and express their ideas or opinions toward certain topics....

An increase in the quantity of fine particulates (PM2.5) in the air is a risk to the nation’s people since it can create uncontrolled repercussions such as the aggravation of cardiovascular disease and asthma. The issue of air pollution has lately surfaced as a critical concern in smart cities. The systematic...

Skin cancer is one of the most serious health issues that humans face. Dermatologists face difficulty in making a skin cancer diagnosis because many skin cancer pigments seem alike. Early detection of skin cancers like Melanoma means a better chance of survival for the patient otherwise it can be life-threatening....

Previous orthogonal frequency division multiplexing over free space optics (OFDM-FSO) systems relied on signal strength, wavelength, and polarisation to multiplex data streams in order to improve signal quality and feasible connection range. Alternatively, this work leverages on orbital angular momentum...

This research looks into objectivity and subjectivity’s effects on sentiment analysis through word embeddings, namely Word2Vec, Term Frequency-Inverse Document Frequency (TF-IDF), and Bidirectional Encoder Representations from Transformers (BERT). Objectivity corpora are defined as data with a neutral...

The increase in credit card transactions has inevitably caused an increase in credit card fraud. A total of 157,688 fraud cases occurred in 2018 worldwide, causing a total loss of $24.26 billion. This paper proposes using two types of autoencoder models to detect credit card fraud. The first type uses...

Electrocardiogram is a method of recording the heartbeat of a patient electronically. Storing or transmitting enormous amount of ECG signals to another device or via online is an unendurable process without compressing the signals. The purpose of this paper is to develop an efficient Electrocardiogram...

In recent years, identifying changes in multitemporal images in terms of land use and land cover is significant in a variety of applications including urban planning. CNN architectures are one of the most extensively utilised methods for change detection. The aim of this research is to investigate two...

Underwater image segmentation is a method that could help with underwater exploration because it is useful and impactful in the understanding and study of the marine environment. However, it is a difficult and challenging task compared to regular image segmentation due to the nature of the images themselves,...

Gesture recognition for elderly care is an approach to classify gestures performed by the elderly to convey specific messages. Nursing homes or caretakers are often hired to take care of senior citizens and are responsible to keep them safe. Hence, this study will be useful to assist caretakers in providing...

Underwater image enhancement is an important process in image processing due to the images often suffering from severe degradation causes by the nature of light and underwater environment. The purpose of this research is to study the existing methods and algorithms for enhancing underwater images. In...

Research found that the use of technology in teaching and learning is able to reduce mathematics anxiety by initiating students’ motivation to explore and enjoy mathematics instead of feeling worries over it. There is a better human-computer interaction for student engagement and motivation in learning...