Shaidah Jusoh

• PhD
• Faculty Member at Xiamen Univerisity Malaysia

Domestic violence (DV) remains a pervasive issue globally, prompting extensive research to find effective solutions. This paper presents a comprehensive survey of significant DV research, focusing on societal norms, impacts, detection approaches, and existing datasets. We systematically reviewed and classified research articles from major repositor...

Chatbots, as rapidly advancing AI technologies, have become increasingly integrated into human interactions, acting as valuable companions. This study examines the role of chatbots in education. We conducted a thorough literature review on published and stored articles in major databases, including the IEEE Xplore and the ACM Digital Library. Follo...

Call for Papers for a Special Session

Currently, the transformation to fully online learning during COVID-19 encourages the usage of social media platforms such as WhatsApp and Telegram in the learning environment. However, the social media platform has some limitations, including the loss and difficulty in keeping track of messages from instructors due to the lack of personalized enga...

Emotion classification and sentiment analysis represent crucial research areas within the field of Natural Language Processing. Previous studies have primarily focused on conducting sentiment classification and emotion classification as separate tasks. Only a limited number of researchers have delved into exploring the relationship between these tw...

Data visualization and data analysis tool are parts of the main elements in the study of data science. Data science always involves finding answers to the questions being asked within any type of domain. Data science is a multidisciplinary study that requires many relevant fields such as data visualization and statistical analytic to find insights...

The study of human computer interaction in using immersive technologies has become very essential and critical. Immersive technologies have been used significantly in medical education. In the medical field, real-life training is not always possible. The main reasons are cost and safety. Thus, alternatives in providing and achieving a better educat...

Abstract. Extracting clinical data from medical or clinical reports is a crucial effort. These records contain the most valuable pieces of evidence of treatments in humans. Integration of information extraction (IE) and ontology can produce a great tool for clinical concept extraction. The aim of this paper is to present a quick overview of the res...

Fusion technologies have rapidly evolved. These technologies are normally customized according to the needs of domains. Despite a large number of publications on intelligence fusion applications for various domains, they are scattered. The aim of this review is to present the state of the art for intelligence fusion applications within a specific d...

Games have been known as a method for entertaining humans. The field of gaming has been amazingly growing to be adopted by various domains, including education. The main aim of education is to facilitate students with all learning process for acquiring knowledge. Gamification is the process of adding gaming features to the learning process. The res...

Knowledge sharing among faculty members may enhance the quality of teaching and research activities. Despite the fact that a number of research has been conducted, to the best of our knowledge, this is the first work that focus on multinational academicians. The aim of this empirical study is to investigate ways and factors which contribute to know...

With the development of today’s technology, and as humans tend to naturally use hand gestures in their communication process to clarify their intentions, hand gesture recognition is considered to be an important part of Human Computer Interaction (HCI), which gives computers the ability of capturing and interpreting hand gestures, and executing com...

User experience (UX) is a branch of human computer interaction (HCI) field. UX is a study that focuses on behaviours, attitudes, and perspectives towards services or technologies used within a specific context such as teaching and learning context. The teaching and learning process has evolved from traditional to e-learning and recently interactive...

The key factor for any successful smartphone is the efficient design of its applications. Usability is the main aim in any product including smartphone applications. If the applications are highly usable, this will lead to satisfying the majority of users, and consequently will gain their loyalty; an important aspect in any businesses. Nowadays, sm...

Chatbots are intelligent machine-to-human conversation systems. The main benefit of developing and deploying a chatbot in any business domain is that it can behave as a personal assistant. A chatbot is expected to be close in efficiency of interaction to a human personnel in responding to customers questions. The aim of this study is to evaluate th...

Dyslexia is a common type of language disability which results in difficulty with reading, writing, spelling, word comprehension, math and communication, all skills which are necessary for understanding language. Assistive technology is seen as a great tool to build individual strength and improve academic achievements among dyslexia students. Howe...

A chatbot is one of the Artificial Intelligence applications which has a capability of making human users to feel real and understood in real time. Using chatbot in any business process may increase customers' satisfaction as it is available 24/7 to entertain customers' needs. A chatbot is expected to be more efficient than a human personnel in res...

A conversational agent is one of emerging technologies that will take place in several of life domains, including e-commerce. The common features of any conversational agent in any domain is its ability to have a dialog with a human user and 24/7 available. Thus, including a conversational agent in an online business will give benefits not only to...

Arabic proverbs are well known as one of the sources for understanding Arabic life and culture. These proverbs rich with life values and wisdom, which one could create useful knowledge from them. Having a system that allows people to access these knowledge is desirable. Despite there are many existing knowledge-based systems for various domains, to...

Natural language processing (NLP) has been considered as one of the important area in Artificial Intelligence. However, the progress made in natural language processing is quite slow, compared to other areas. The aim of this study is to conduct a systematic literature review for identifying the most prominent applications, techniques and challengin...

p class="0abstract">The purpose of this study is to investigate the use and effects of smartphones on academic staffs at a university level, especially in the Kingdom of Saudi Arabia. We conducted a survey study using questionnaires. The questionnaires were randomly distributed to 66 academic staffs who own a smartphone at the Northern Border Unive...

Advancement of mobile technologies such as smartphones and PC tablets has given a great impact on healthcare systems. The mobile technology offers innovative approaches to addressing complex health concerns. Many mobile health applications (mHealth apps) are currently available on marketplaces. These apps are designed to facilitate various health i...

The purpose of this study is to explore behaviors of Facebook users at an undergraduate level in Jordan. We have conducted a survey using questionnaires. The questionnaires were distributed to 200 undergraduate students who enrolled in computer science, information systems, internet technology and software engineering programs. Out of 200, 180 vali...

The aim of this study was to investigate students' and faculty members' perspectives towards the use of on-line tools for supporting final year undergraduate project supervision. The study involved 43 students and 10 faculty members (project supervisors). Data were collected via a questionnaire and structured interviews. Findings indicated that bot...

Microsoft PowerPoint presentation is a well-known tool for delivering class lectures, and has been widely used by course instructors across universities around the world. This study sought to determine whether it is the best approach for a small class size for computer science courses. An Artificial Intelligence class, with the number of students i...

This paper presents a study on trends in smartphone usage among university students in Saudi Arabia. Students (N=324) from various academic levels and programs at Najran University, Saudi Arabia had participated in completing survey questionnaires. Of participants, 94.4% (n=305 /324) owned smartphones. Based on this data, the trends are evaluated,...

Opinions are always expressed in comments or reviews. Having a system that is able to analyze opinions automatically is desirable. The system can extract and process public opinions about a certain topic, product or service which is embedded in unstructured texts, can be considered as an intelligence business tool. Extracting opinions from reviews...

Opinions are always expressed in comments or reviews. An automated opinion mining system has been seen as one of the desirable intelligence business tools. The system can extract public opinion about a certain topic, product or service which is embedded in unstructured texts. Extracting opinions from reviews and comments requires a system to deal w...

Text Mining is one of the computational intelligence research areas. The main goal of text mining tool is to discover knowledge which is embedded in unstructured text. The first step of text mining is to extract fact from the texts. However, to build a robust text mining tool is very complex. The first step requires the tool to process a natural la...

Text mining is a very exciting research area as it tries to discover knowledge from unstructured texts. These texts can be found on a computer desktop, intranets and the internet. The aim of this paper is to give an overview of text mining in the contexts of its techniques, application domains and the most challenging issue. The focus is given...

The Natural language question (NLQ) processing module is considered a fundamental component in the natural language interface of a Question Answering (QA) system, and its quality impacts the performance of the overall QA system. The most difficult problem in developing a QA system is so hard to find an exact answer to the NLQ. One of the most chall...

Automated text summarization is a process of deriving a shorter version of a text document from an original text. The most well known and widely used technique for automated text summarization is sentence extraction technique. Using this technique, sentences are extracted based on certain features that have been decided. In this paper, a new techni...

A behaviour-based control has been considered as the best approach to control autonomous robots. The robots have been expected to assist people in a people living environment such as houses or offices. Such situations require natural interaction between people and the robots. One way to facilitate this is by deploying a natural language interface (...

uestion processing is a fundamental step in a question answering (QA) application, and its quality impacts the performance of QA application. The major challenging issue in processing question is how to extract semantic of natural language questions (NLQs). A human language is ambiguous. Ambiguity may occur at two levels; lexical and syntactic. In...

A behaviour-based control has been considered as the best approach to control autonomous robots. The robots have been expected to assist people in a people living environment such as houses or offices. Such situations require natural interaction between people and the robots. One way to facilitate this is by deploying a natural language interface (...

Automated text summarization is a process of deriving a shorter version of a text document from an original text. The most well known and widely used technique for automated text summarization is sentence extraction technique. Using this technique, sentences are extracted based on certain features that have been decided. In this paper, a new techni...

Automated translation (MT) tools have become an urgent need in a multilingual environment. Although there are any available tools on the market, unfortunately, a robust MT tool is still a dream. This purpose of this paper is to discuss challenging issues in MT tool developments, the state of art of he MT tools and propose a framework for a semantic...

Entity extraction is considered as a fundamental step in many text mining applications such as machine translation, text summarization and text categorization. However, the major challenging issue inextracting the entity from a sentence is the ambiguity problem, namely lexical ambiguity. While a human has a cognitive capability to resolve the meani...

The wireless links between the nodes together with the dynamic-network nature of ad hoc network, increases the challenges of design and implement intrusion detection to detect the attacks. Traditional intrusion detection techniques have had trouble dealing with dynamic environments. In particular, issues such as collects real time attack related au...

Abstract Mobile Ad hoc networks (MANETs) are susceptible to several types of attacks due to their open medium, lack of centralized monitoring and management point, dynamic topology and other features. Many of the intrusion detection techniques developed on wired networks cannot be directly applied to MANET due to special characteristics of the netw...

Most of the information is embedded in a long text documents. Having a summarizer that can produce a summary from the texts automatically is very desirable. This paper presents an introduction of an automated text summarization system by addressing the history of summarization and its existing application tools, and proposes a methodology for an au...

Text documents are one of the means to store information. These documents can be found on personal desktop computers, intranets and in the Web. Thus the valuable knowledge is embedded in an unstructured form. Having an automated system that can extract information from the texts is very desirable. However, the major challenging issue in developing...

With the explosion growth of available information in texts, reading is a very time consuming task. Having an automated knowledge miner that can extract useful knowledge from the texts is very desirable. In this paper, we propose an integrated architecture for an intelligent knowledge mining processor. The architecture is based on text mining and d...

In this paper, to produce better performance of F-score measurement, we applied the stacking concept by stacking the robust prediction model data sets instead of stacking multiple learner schemes with single data set. We are using K* Learning algorithm as a single base classifier to train multiple combine visualized data sets which were produced th...

In a hard disk media manufacturing, engineers rely on inspection machine to generate production yield temporal data that can be used for future analysis. To proactively perform process maintenance on the equipment in order to avoid unnecessary unplanned down time, they have to be able to predict the yield outcome before products arrive at the inspe...

This research attempts to generate an automatic prediction model in a hard disk media manufacturing process. This is to be done without human visual interpretation. Our research demonstrates that it can be achieved by visualizing the historical temporal data pattern generated from the inspection machine. From there, the data pattern is transformed...

The prediction of the yield outcome in a non close loop manufacturing process can be achieved by visualizing the historical data pattern generated from the inspection machine, transform the data pattern and map it into machine learning algorithm for training, in order to automatically generate a prediction model without the visual interpretation ne...

Non close loop manufacturing process, typically in the hard disk media industries rely from its inspection machine to generate production yield temporal data that can be used for future analysis. In order for an engineer to proactively perform maintenance on its process equipment and avoiding unnecessary unplanned down time, they need to be able to...

Text Mining tasks include text categorization, text clustering, concept/entity extraction, document summarization, and entity relation modeling. In this paper, the focus is given to concept/entity extraction only. The major challenging issue in extracting concept/entity from texts is natural language words are always ambiguous. Up to now, not much...

In the near future, robots are not seen as automated machines, but intelligent and powerful assistants for human beings. They are able to assist people in common places such as offices and houses. This paper presents a scenario of a housekeeping robot. The robot is assumed to receive instructions from a human user and perform tasks in a kitchen. A...

Recently retailers have displayed their products/services and its prices on the Web. Online sales have been accepted although its acceptance is still slow. One of the reasons is the online customers are restricted to what are shown to them. Customers cannot give any inquiries. Onsite sales are seen more natural; they allow customers to use natural...

Service robots are used by ordinary people in their houses and offices. For such users, a desirable way to communicate with robots is through natural language interfaces. So far, techniques for developing robot natural language interfaces are far from mature. A major challenge is handling ambiguity, uncertainty, and vagueness in parsing, object res...

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A behaviour-based control is considered as the best approach to control autonomous robots. In the near future, autonomous robots like mobile service robots are expected to assist people in a common environment such as houses or offices. Such situations require natural interaction between people and the robots. One way to facilitate this is by using...

In the near future, mobile service robots will play important roles in human beings life. They are expected to be intelligent and powerful assistants for the human beings. Such situations require intelligent and natural interaction between human and robots. One way to facilitate this is by using a friendly natural language interface. The developmen...

Remote pointing is an interaction style for presentation systems, interactive TV, and other systems where the user is positioned an appreciable distance from the display. A variety of technologies and interaction techniques exist for remote pointing. This paper presents an empirical evaluation and comparison of two remote pointing devices. A standa...

Most Web-based geographic information systems (GISs) are stand-alone. Our technique aims to integrate a collection of Web GISs into a system, providing more transparent and efficient access. Users can access the data stored at any of the participating sites as though all the data came from one site. We based our technique on Common Object Request B...

Research and development activities for machine translation systems from English language to others are more progressive than vice versa. It has been more than 30 years since the machine translation was introduced and yet a Malay language or Bahasa Melayu (BM) to English machine translation engine is not available. Consequently, many translation sy...

Text documents are one of the means to store information. These documents can be found on personal desktop computers, intranets and in the Web. Thus the valuable knowledge is embedded in an unstructured form. Having an automated system that can extract information from the texts is very desirable. However, the major challenging issue in developing...