Volume 3, Issue 2 · 2026 · 9 articles
Original Research Pages 1–11
The increasing availability of Learning Management System (LMS) interaction logs enables early identification of students at risk of dropout. However, conventional prediction approaches often do not consider the temporal relationships among sequential learning activities. In this...
Original Research Pages 12–29
Industrial machinery continuously generates multivariate sensor signals that contain important information about operational states, degradation trends, and impending failures. However, conventional predictive maintenance techniques based on fixed thresholds or isolated anomaly d...
Original Research Pages 30–42
Autonomous mobility, route planning, emergency response, and intelligent transportation system (ITS) have been impacted by urban traffic congestion. Road-network connectivity and recurring congested relationships have been considered in existing GPS-based methods such as point-ba...
Original Research Pages 43–55
Crop diseases reduce yield and quality, and visual inspection can be time-consuming and dependent on lighting conditions, leaf characteristics, and disease similarity. Traditional image-based recognition approaches can have redundant descriptors and confuse similar disease patter...
Original Research Pages 56–70
Microarray-based gene expression profiling identifies subtype-specific transcriptional signatures and supports precision oncology by representing cancer heterogeneity in high-dimensional molecular space. Dimensionality-induced overfitting, redundant gene representations, class im...
Original Research Pages 71–82
The rapid deployment of Internet of Things (IoT) devices in smart home environments increases exposure to malicious network traffic, making accurate and efficient traffic classification essential for protecting connected devices and services. Existing intrusion detection and traf...
Original Research Pages 83–94
Existing digital banking fraud detection systems often rely on individual transaction attributes, which are ineffective against coordinated, repeat fraud. A single valid transaction may initiate fraud, followed by subsequent transactions that may be legitimate on their own yet fi...
Original Research Pages 95–105
The rise of e-commerce has generated vast amounts of transactional and behavioural data, paving the way for personalized product suggestions. However, traditional association-rule mining mainly captures static co-purchase relationships and therefore fails to reflect changes in co...
Original Research Pages 106–118
Diabetic retinopathy (DR) is a progressive microvascular disease of diabetes, and accurately classifying its disease stages from retinal fundus images is difficult because of subtle DR lesions, considerable similarity between disease stages, varying illumination, image quality de...
