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Journal of ICT
Scopus
ISSN 1675-414X · UUM Press · 493 artikel di indeks
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Artikel Jurnal
A Hybrid Machine Learning Model for Streaming Frequency-Based Anomaly Detection in Banking Transactions
The increasing sophistication of fraudulent activities in digital financial systems necessitates real-time anomaly detection models that can adapt to evolving transactional behaviours. While prior research has explored machine learning approaches for fraud detection, most rely on static datasets…
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Wasserstein Generative Adversarial Network with Gradient Penalty and Threshold-Enhanced for Imbalanced Panel Data for Financial Fraud Detection
Financial statement fraud detection is critical to maintaining trust among investors, regulators, and analysts. However, traditional audit procedures often fail to detect anomalies effectively because they occur infrequently but can result in significant economic losses. This study proposes an…
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Artikel Jurnal
Evaluating the Effectiveness of Digital Product Advertisement Type using Machine Learning and Shapley Additive Explanations Analysis
Digital advertising continues to grow rapidly, yet advertisers face persistent uncertainty in selecting the most effective ad format for different campaign objectives and audience segments. Prior studies often rely on limited metrics or lack interpretability, making it difficult to explain why…
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Evaluation of a Gamified Self-care Application for University Students using the Wheel of Sukr Framework
Effective self-care practices are important for university students’ well-being. However, many students struggle to sustain these practices due to low motivation with existing digital self-care tools. While gamification shows potential, its effectiveness is often limited by implementations that…
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Artikel Jurnal
Conditional Tabular Generative Adversarial Network-based Synthetic Data Generation for Model Generalisation Improvement
Accessing extensive and varied datasets is essential for developing strong predictive models in data analytics. However, many real-world applications suffer from small and imbalanced datasets, leading to overfitting, poor generalisation, and low model performance. Traditional data augmentation…
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Artikel Jurnal
Structural Time Series Modelling of Climate Change Effects on Mortality in a Tropical Developing Country
Heat-related mortality has emerged as a critical public health issue, driven by the accelerating impacts of climate change. Most studies establish a direct causative relationship between high temperatures and mortality; however, there is scarce literature studying the climate change mortality…
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Artikel Jurnal
Interval Type-2 Gaussian Fuzzy Games: Energy Sharing in Distributed Systems with Electric Vehicle Integration under Uncertainty
Fuzzy cooperative games using Type-1 fuzzy numbers are commonly applied to model vagueness and imprecision in coalition values and player allocations. However, such models are less effective in capturing increased imprecision. This paper introduces interval Type-2 Gaussian fuzzy numbers (IT2 GFNs)…
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Artikel Jurnal
Determinants of Farmers’ Willingness to Pay for IoT Adoption in Rice Farming: Evidence from Malaysia
Rice farming faces persistent challenges that constrain productivity and sustainability, underscoring the urgent need for digital innovations such as the Internet of Things (IoT). While IoT technologies offer the potential for efficiency and resilience, their adoption depends on farmers’…
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Artikel Jurnal
Graph-Augmented Transformer Framework for Context-Aware Recommender Systems on Amazon E-Commerce Data
Recommender systems play a pivotal role in enhancing user experience and driving engagement across e-commerce platforms. However, traditional approaches such as collaborative filtering and matrix factorisation often struggle with sparse user-item interactions and fail to capture contextual nuances…
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Artikel Jurnal
Motion-Pattern-Based Multi-Object Tracking for Real-Time Edge Computing Deployment
Real-time object tracking in embedded systems requires algorithms that balance processing performance with energy efficiency for practical deployment. This study evaluates the performance of the TG-Lite algorithm on Jetson Nano embedded hardware for surveillance applications requiring a minimum…
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Artikel Jurnal
An Enhanced Red Deer Algorithm with Adaptive Memory Strategy for the Capacitated Vehicle Routing Problem
The vehicle routing problem (VRP), especially its capacitated (CVRP), has been extensively studied. In the CVRP, each customer must be served exactly once without exceeding the vehicle’s capacity, with the aim of minimising the total distance of all routes. As a nondeterministic polynomial…
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Artikel Jurnal
Cybercognition as Emerging Determinant in Protection Motivation Theory: Toward Explaining Secure Intention Behaviour in Online Gaming among Adolescents
The increasing prevalence of online gaming among adolescents has heightened the need to understand the psychological factors that influence secure online behaviour. Protection Motivation Theory (PMT) is limited in its ability to explain technology-related behaviours because it primarily focuses on…
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Artikel Jurnal
An Enhanced Iris Recognition using Deep Learning and 2D Chebyshev Wavelet Filter
Iris recognition is widely regarded as a reliable biometric authentication technique; however, its performance is often degraded by poor image quality, noise, eyelid and eyelash occlusion, illumination variation, off-angle acquisition, and partial iris visibility in unconstrained environments. This…
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Active Contour Model for Vector-Valued Intensity Inhomogeneity Images Corrupted by a Mixture of Additive Gaussian and Multiplicative Gamma Noise
Most of the image processing research has demonstrated the exceptional suitability of Active Contour Models (ACMs) concerning image segmentation models in image analysis as well as computer vision tasks. However, noise and intensity inhomogeneity in the vector-valued or colour images may compromise…
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Artikel Jurnal
A Unified Machine Learning-Based IDS/IPS Framework with Bio-Inspired Feature Selection for Real-Time Detection of Malware-Laden URLs
Cybersecurity threats have become increasingly sophisticated and dynamic due to the rapid evolution of malicious software and attack techniques. However, the reliance of traditional IDS/IPS implementations on signature-based detection limits their ability to identify novel, rapidly evolving, and…
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Artikel Jurnal
Designing Tangible User Interfaces for Neurodiversity: A Focus on Dyslexia-Friendly Inclusive Design Features
Tangible User Interfaces (TUIs) provide multisensory interaction and engagement, which are essential for learning for neurodivergent learners, such as children with dyslexia, dyscalculia, and autism spectrum disorder. Given their diverse learning needs, neurodivergent learners require specifically…
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Artikel Jurnal
Perceived Intelligence and Perceived Anthropomorphism as Additional Predictors of ChatGPT Usage Behaviour
The rapid advancement of generative artificial intelligence (AI) tools like ChatGPT is transforming various sectors, including education. Although many are adopting ChatGPT for learning, not all students are embracing it. This is because there are contrasting views regarding its usefulness, ease of…
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Artikel Jurnal
Unlocking AI-Powered Tools Adoption among University Students: A Fuzzy-Set Approach
This study examines, from a post-pandemic theoretical perspective, university students' continuous intention (CI) to utilise AI-powered tools for educational purposes. AI-powered tools are new and underutilised in higher education. The fact that students and teachers need knowledge to use these…
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Artikel Jurnal
The Mediating Role of Perceived Ease of Learning in Teacher Readiness to Adopt Blockchain for Educational Assessment
Traditional educational assessment systems in Malaysia face persistent issues such as data security vulnerabilities, lack of transparency, and centralised control, which collectively undermine trust, reliability, and operational efficiency. While blockchain (BC) technology has emerged as a…
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Artikel Jurnal
A Convex Variational Interactive Model with Projection Method for Digital Images Partitioning
Digital image partitioning separates the foreground of an image from the background for subsequent analysis. In literature, the variational global model is frequently employed for digital images partitioning; however, it has been shown to underperform when the targeted object is situated near a…