A5019928819- Recommender Systems and Techniques
- Online Learning and Analytics
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Expert finding and Q&A systems
- Topic Modeling
- Technology Adoption and User Behaviour
- Service-Oriented Architecture and Web Services
- Child Development and Digital Technology
- Innovative Teaching and Learning Methods
- Data Management and Algorithms
- Digital Marketing and Social Media
- Educational Games and Gamification
- Customer Service Quality and Loyalty
- Dental Radiography and Imaging
- Knowledge Management and Sharing
- Face and Expression Recognition
- Forensic Anthropology and Bioarchaeology Studies
- Mobile Learning in Education
- Data Mining Algorithms and Applications
- Machine Learning and Data Classification
- Artificial Intelligence in Healthcare and Education
- Intellectual Capital and Performance Analysis
University of Malaya
2016-2025
Information Technology University
2008-2023
National University of Malaysia
2022
Sultan Idris Education University
2014
In recent years, different types of review systems have been developed with the recommender system (RS). RSs are based on user textual reviews, ratings, and comparative opinions. for social media resources, such as blogs, forums, network websites, bookmarking video portals, chat portals help users to collaborate effectively. Social resources used in RS recommending contents, articles, news, e-commerce products, users. Although research has increased annually, comprehensive literature...
Research paper recommenders emerged over the last decade to ease finding publications relating researchers' area of interest. The challenge was not just provide researchers with very rich at any time, place and in form but also offer right publication researcher way. Several approaches exist handling recommender systems. However, these assumed availability whole contents recommending papers be freely accessible, which is always true due factors such as copyright restrictions. This presents a...
Higher education policies are designed to facilitate students’ learning progression and academic success. Following Tinto’s integration theory Bean’s attrition model, this study proposes a research model investigate whether students prone can be pre-emptively identified through self-evaluating factors contributing their progress. Theoretically, the progress is with student success, represented by amenable intervention including interaction peers instructors, teaching effectiveness, exam...
Plant diseases significantly impact global agriculture, leading to substantial production losses and economic consequences. Timely disease detection can enhance crop yield, optimize resource utilization, reduce costs, mitigate environmental effects, ultimately ensuring high-quality food production. Deep learning, specifically computer vision-based techniques, have proven invaluable in tasks like image classification, segmentation, object detection. Learning techniques such as You Only Look...
Bone age assessment (BAA) of unknown people is one the most important topics in clinical procedure for evaluation biological maturity children. BAA performed usually by comparing an X-ray left hand wrist with atlas known sample bones. Recently, has gained remarkable ground from academia and medicine. Manual methods are time-consuming prone to observer variability. This a motivation developing automated BAA. However, there considerable research on assessment, much which still experimental...
Patients with epilepsy (PWEs) are motivated to manage and cope their disorder themselves (ie, self-management [SM] is encouraged). Mobile health (mHealth) apps have multiple features that a huge potential improve SM of individuals chronic disorders such as epilepsy.This study aimed review all freely available related the PWEs determine domains covered in these apps.We performed search on Google Play App Store using keywords "epilepsy" or "seizures" from May August 2018. Apps were included if...
Emotions are vital for identifying an individual’s attitude and mental condition. Detecting classifying emotions in Natural Language Processing applications can improve Human–Computer Interaction systems, leading to effective decision making organizations. Several studies on emotion classification have employed word embedding as a feature extraction method, but they do not consider the sentiment polarity of words. Moreover, relying exclusively deep learning models extract linguistic features...
Purpose – The purpose of this paper is to propose an inclusive research model overcome the single perspective issues previous which were looking at either on knowledge management (KM) activity, information technology (IT) applications or infrastructure capability (IIC) independently. Design/methodology/approach This reviewed and categorised five frameworks: first, KM foundation studies; second, resource-based view third, IIC fourth, competitive advantage (CA) fifth, organisational processing...
The soft set theory is a mathematical tool that deals with uncertainty, imprecise, and vagueness in decision systems. It has been widely used to identify irrelevant parameters make reduction of for making order bring out the optimal choices Many normal parameter algorithms exist handle maintain consistency choices. However, they require much time repeatedly run algorithm reduce unnecessary using either important degree or oriented sum. In this paper, we propose an alternative based on...
Web based oriented services have become an integral part of peoples' life during the last decade. Less error, mistake, cost, and process time are advantages Electronic Commerce (E-commerce) for buyer seller. Ease use usefulness E-commerce been led to popularity this phenomenon. A numerous number customers visit register on commerce sites, but they never buy anything or purchase a little stuff online due lack trust, satisfaction loyalty. Loyal important asset companies. Converting inactive...