Shahrul Azman Mohd Noah
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View article: A Hybridized BERT-Based Approach for Crime News Collection and Classification from Online Newspapers
A Hybridized BERT-Based Approach for Crime News Collection and Classification from Online Newspapers Open
View article: Prioritising explainable AI-driven recommendations with knowledge graphs and reinforcement learning
Prioritising explainable AI-driven recommendations with knowledge graphs and reinforcement learning Open
Explainable Recommender Systems (XRSs) assist users in decision-making by offering precise and interpretable recommendations. However, most existing XRSs tend to prioritise either accuracy or explainability in isolation, with limited atten…
View article: Combining review elements for modelling various multi-criteria collaborative recommendation models
Combining review elements for modelling various multi-criteria collaborative recommendation models Open
Traditional single-criterion recommender systems rely on overall ratings, failing to capture accurate user preferences. While multi-criteria recommender systems (MCRSs) address this by leveraging explicit or implicit criteria, existing stu…
View article: MUSIC TUTOR: A PERSONALIZED AND INTERACTIVE LEARNING PLATFORM USING FIREBASE AND REACT
MUSIC TUTOR: A PERSONALIZED AND INTERACTIVE LEARNING PLATFORM USING FIREBASE AND REACT Open
View article: The Spectroscopic Stage-5 Experiment
The Spectroscopic Stage-5 Experiment Open
The existence, properties, and dynamics of the dark sectors of our universe pose fundamental challenges to our current model of physics, and large-scale astronomical surveys may be our only hope to unravel these long-standing mysteries. In…
View article: A review of the impacts of linked open data on cross-domain recommender systems for individual and groups
A review of the impacts of linked open data on cross-domain recommender systems for individual and groups Open
As users' viewpoints on information searching change from information seeking to information receiving, new search paradigms are continuously emerging. Utilizing a recommender system (RS) is one of the modern ways to get information. The R…
View article: Drn-Cskt: Solving Cold-Start in Knowledge Tracing with Disentangled Attention and Retentive Networks
Drn-Cskt: Solving Cold-Start in Knowledge Tracing with Disentangled Attention and Retentive Networks Open
View article: Beyond Relevance: Enhancing Serendipity in Content-Based Recommendations With Knowledge Graphs
Beyond Relevance: Enhancing Serendipity in Content-Based Recommendations With Knowledge Graphs Open
Content-based recommender systems suffer from overspecialization, creating filter bubbles that limit user exploration. Serendipitous recommendations that are unexpected and novel yet relevant offer a solution to this problem. Thus, this pa…
View article: <p>Exploring The Adoption and Use of Modern Educational Technologies by Teacher Educators in Nigeria: A Case Study of a Teacher Education Institution</p>
Exploring The Adoption and Use of Modern Educational Technologies by Teacher Educators in Nigeria: A Case Study of a Teacher Education Institution Open
View article: User Requirements of Adaptive Learning Through Digital Game-Based Learning: User-Centered Design Approach to Enhance the Language Literacy Development
User Requirements of Adaptive Learning Through Digital Game-Based Learning: User-Centered Design Approach to Enhance the Language Literacy Development Open
View article: Proactive Detection of Malicious Webpages Using Hybrid Natural Language Processing and Ensemble Learning Techniques
Proactive Detection of Malicious Webpages Using Hybrid Natural Language Processing and Ensemble Learning Techniques Open
The proliferation of malicious webpages presents a growing threat to online security, necessitating advanced detection methods to mitigate risks. This paper proposes a novel approach that integrates Natural Language Processing (NLP) techni…
View article: A Survey on Deep Neural Networks in Collaborative Filtering Recommendation Systems
A Survey on Deep Neural Networks in Collaborative Filtering Recommendation Systems Open
This survey provides an examination of the use of Deep Neural Networks (DNN) in Collaborative Filtering (CF) recommendation systems. As the digital world increasingly relies on data-driven approaches, traditional CF techniques face limitat…
View article: Convolutional Transformer Neural Collaborative Filtering
Convolutional Transformer Neural Collaborative Filtering Open
In this study, we introduce Convolutional Transformer Neural Collaborative Filtering (CTNCF), a novel approach aimed at enhancing recommendation systems by effectively capturing high-order structural information in user-item interactions. …
View article: Implementation of Cyber Network’s Attacks Detection System with Deep Learning Designing Algorithms
Implementation of Cyber Network’s Attacks Detection System with Deep Learning Designing Algorithms Open
The internet has become indispensable for modern communication, playing a vital role in the development of smart cities and communities. However, its effectiveness is contingent upon its security and resilience against interruptions. Intru…
View article: Identifying Terms to Represent Concepts of a Work Process Ontology
Identifying Terms to Represent Concepts of a Work Process Ontology Open
Objectives: To identify ontology concepts from text documents for the construction of work process ontology. Methods: This study proposes a methodology to identify terms representing a work process ontology concept from a document. The met…
View article: Design of Time-Delay Convolutional Neural Networks(TDCNN) Model for Feature Extraction for Side-Channel Attacks
Design of Time-Delay Convolutional Neural Networks(TDCNN) Model for Feature Extraction for Side-Channel Attacks Open
This work explores a novel method of SCA profiling to address compatibility problems and strengthen Deep Learning (DL) models.Convolutional Neural Networks are proposed in this research as a countermeasure to misalignment-focused counterme…
View article: Enhanced Content-Based Recommendation Using Topic Modelling and Knowledge Graph
Enhanced Content-Based Recommendation Using Topic Modelling and Knowledge Graph Open
Content-based (CB) recommendation algorithms recommend items to a user based on items the user liked in the past. CB methodologies have gained attention due to their higher accuracy and transparency and the emergence of new technologies, s…
View article: Xairec: Explainable Ai-Driven Recommender Systems with Knowledge Graphs and Reinforcement Learning
Xairec: Explainable Ai-Driven Recommender Systems with Knowledge Graphs and Reinforcement Learning Open
View article: A Comparative Study of Sentiment-Aware Collaborative Filtering Algorithms for Arabic Recommendation Systems
A Comparative Study of Sentiment-Aware Collaborative Filtering Algorithms for Arabic Recommendation Systems Open
The rapid proliferation of online information necessitates efficient Recommendation Systems (RSs) to assist users in discovering relevant content. While English-language RSs have received significant attention, research on Arabic RSs remai…
View article: A Review of Explainable Recommender Systems Utilizing Knowledge Graphs and Reinforcement Learning
A Review of Explainable Recommender Systems Utilizing Knowledge Graphs and Reinforcement Learning Open
This review paper addresses the research question of the significance of explainability in AI and the role of integrating KG and RL to enhance Explainable Recommender Systems (XRS). It surveys articles published from January 2015 to March …
View article: Mobile health application (WeFit) among community-dwelling older adults: Development, validation, acceptance, and usability study
Mobile health application (WeFit) among community-dwelling older adults: Development, validation, acceptance, and usability study Open
Background Technology advancement along with the increase in the older adults’ population leads to the creation of health applications. The combination of exercise, nutrition, and cognition should be studied carefully in improving older ad…
View article: Ontology-Based Traceability System for Halal Status of Flavour
Ontology-Based Traceability System for Halal Status of Flavour Open
Recent market survey on halal products indicated an increase in the demand for halal products throughout the world. In Malaysia, JAKIM is the body responsible in matters relating to approve the halal certification. However, the process of …
View article: Opinion Mining in Arabic Extremism Texts: A Systematic Literature Review
Opinion Mining in Arabic Extremism Texts: A Systematic Literature Review Open
In this paper, a systematic literature review was provided that investigated the present evidence regarding extremist words in Arabic opinion mining methods. This study aimed to perform a Systematic Literature Review (SLR) in order to dete…
View article: Hybrid Technique for Detecting Extremism in Arabic Social Media Texts
Hybrid Technique for Detecting Extremism in Arabic Social Media Texts Open
Today, social media sites like Twitter provide effective platforms to share opinions and thoughts in public with millions of other users. These opinions shared on such sites influence a large number of people who may easily retweet them an…
View article: An experimental study on the performance of collaborative filtering based on user reviews for large-scale datasets
An experimental study on the performance of collaborative filtering based on user reviews for large-scale datasets Open
Collaborative filtering (CF) approaches generate user recommendations based on user similarities. These similarities are calculated based on the overall (explicit) user ratings. However, in some domains, such ratings may be sparse or unava…
View article: A BERT-Based model: Improving Crime News Documents Classification through Adopting Pre-trained Language Models
A BERT-Based model: Improving Crime News Documents Classification through Adopting Pre-trained Language Models Open
Text classification has played a key role in various fields, such as news classification, spam detection, and sentiment analysis. However, the classification of crime news continues to pose challenges, including low efficiency, low precisi…
View article: Max Explainability Score (Mes) – a Quantitative Metric for Explainability Evaluation in Knowledge Graph-Based Semantic Recommendations
Max Explainability Score (Mes) – a Quantitative Metric for Explainability Evaluation in Knowledge Graph-Based Semantic Recommendations Open
View article: To Cluster or Not to Cluster: The Impact of Clustering on the Performance of Aspect-Based Collaborative Filtering
To Cluster or Not to Cluster: The Impact of Clustering on the Performance of Aspect-Based Collaborative Filtering Open
Collaborative filtering (CF) is one of the most widely utilised approaches in recommendation techniques. It suggests items to users based on the ratings of other users who share their preferences. Thus, one of the aims of CF is to find rel…
View article: Max Explainability Score (Mes) – a Quantitative Metric for Explainability Evaluation in Knowledge Graph-Based Semantic Recommendations
Max Explainability Score (Mes) – a Quantitative Metric for Explainability Evaluation in Knowledge Graph-Based Semantic Recommendations Open
View article: Digital technology usage among older adults with cognitive frailty: A survey during COVID-19 pandemic
Digital technology usage among older adults with cognitive frailty: A survey during COVID-19 pandemic Open
Objective The research aimed to study digital divide by determining the usage of digital technology among older adults with cognitive frailty (CF) in Malaysia. Methods The dataset was obtained from the AGELESS trial screening phase conduct…