Physical fitness assessment is an essential component of school-based physical education, yet in many schools it still relies on manual recording that is time-consuming and prone to error. This study aimed to (1) develop a web-based application, acce...
Large-scale comparative genomics and antimicrobial resistance surveillance depend on structured, machine-readable sample metadata, yet NCBI BioSample, the primary repository for microbial genomic provenance, contains heterogeneous submitter-supplied...
Automobile sales analysis provides an important basis for production planning, procurement, supply-chain coordination, inventory management, and dealership resource allocation. However, dealership sales are jointly influenced by operational practices...
Online assessment of music ear training requires the coordinated delivery of auditory stimuli, musical response formats, and examination records. In this study, a web-based assessment system for higher education was designed, developed, and initially...
Background/Objectives: Survival models can retain their ability to rank patients while their absolute-risk predictions become less accurate over time. We compared temporal calibration drift and updating across statistical and machine-learning models...
Auditory verbal hallucinations are one of the most common symptoms in schizophrenia, contributing substantially to distress, functional impairment, and relapse risk. Existing therapeutic approaches, including pharmacological treatment and structured...
This paper presents a criteria-governed, human-in-the-loop information system architecture integrating formative AI-assisted learning with preliminary assessment of spoken and written responses. It supports two modes: a retrieval-augmented assistant...
Digital mental health interventions (DMHIs) frequently experience low user engagement and high attrition, highlighting the importance of incorporating user-centred design approaches during early-stage development. This study presents a structured mix...
Cooling-tower noncompliance can weaken controls intended to limit Legionella-related public-health risks. We examined whether longitudinal inspection histories could predict at least one violation at a system’s next inspection and support capac...
Currently, educators are looking for new techniques in the teaching–learning process. Previous research has presented various teaching strategies designed to motivate students to learn. Existing research has focused on the use of spatial world...
With advances in digital technology, augmented reality (AR) can play a substantial role in project development and sustainable growth in engineering and construction. Utilising AR technology with digital overlays offers a three-dimensional (3D) setti...
Large language model (LLM)-based creative AI systems tend to produce plausible rather than novel research ideas. This study compares two ways of generating research hypotheses: a genetic algorithm (GA) that recombines Method, Problem, and Goal elemen...
Generative artificial intelligence (AI) use and online information checking may be socially patterned in different ways. This cross-sectional study analysed the 2025 Turkish Statistical Institute ICT survey of 22,502 internet users aged 16–74 u...
Artificial intelligence (AI) is transforming fashion e-commerce through personalized recommendations, virtual try-on, size suggestions, and algorithmic decision support. This study examines AI-driven fit confidence as a fashion-specific mechanism lin...
Efficient and accurate data entry is essential for ensuring high-quality clinical registries; however, conventional electronic data-capture (EDC) interfaces impose a substantial workload on healthcare professionals. This study compared a wizard-style...
Avatar-mediated streaming has become a distinctive mode of content creation; however, we still lack empirical insight into how novice performers experience avatar embodiment upon their first exposure to VTubing. This study examined whether four conti...
The widespread use of social media has led to a rise in online bullying and abusive language. Huge amounts of content are created on social media daily, creating a challenge for platforms to manually detect and remove offensive posts, making automate...
Underwater acoustic sensor networks (UASNs) are key enabling technology for the Internet of Underwater Things (IoUT), supporting environmental monitoring, offshore exploration, disaster warning and surveillance. Existing routing approaches include de...
Distributed trace anomaly scoring must distinguish unusual service-path latency behavior from structural differences among traces. However, raw Service Trace Vector (STV) scores may increase with trace size and feature occupancy, potentially prioriti...
Sleep disorders are prevalent across the population and, in older adults, are associated with cognitive decline, reduced functional capacity, and diminished quality of life. While polysomnography (PSG) provides detailed neurophysiological information...
In the original publication [...]
Fine-grained analysis of guest satisfaction in the hospitality sector requires moving beyond document-level sentiment classification. It calls for structured extraction of attribute-specific evaluations from multilingual user-generated content. Howev...
Modern deepfakes leave forensic traces across audio, visual, and cross-modal channels, yet contemporary detectors are monolithic transformer-based architectures whose post hoc explanations struggle to isolate modality-specific artefacts. We propose a...
Deep reinforcement learning (DRL) relies on neural networks trained under temporally correlated experience, evolving replay distributions, and bootstrapped targets, conditions that can destabilize neural function approximation. This study investigate...
University psychology clinics represent complex coordination environments in which pedagogical requirements, supervision constraints, and institutional governance mechanisms intersect. Traditional coordination practices based on spreadsheets often fa...
The growing volume of scientific output and the pace of AI advancement create a dual challenge: traditional systematic reviews take twelve to eighteen months to complete, risking obsolescence before publication, while the technology needed to acceler...
Customer churn remains one of the most consequential problems facing business enterprises globally. Compared with the enticement and acquisition costs associated with acquiring new customers, retaining an existing subscriber is substantially cheaper....
Previous studies of artificial intelligence (AI)-driven automation have mostly assessed entire occupations, providing limited evidence about differences among individual tasks. This study addresses this limitation by proposing an NLP-assisted task-le...
The entertainment industry covers numerous fields of business, such as telecommunication, television, music, video games, and event management. Out of these markets, the gaming industry has been growing significantly due to its high revenues, a subst...
Since X-Twitter suppressed public access to engagement metrics in February 2023, classical models for detecting coordinated operations lost viability. Astroturfing is one modality among several, alongside narrative saturation and targeted amplificati...
As the adoption of autonomous vehicles continues to grow, understanding the impact of auditory features in driving assistance systems becomes increasingly crucial. This study investigates the effectiveness of different voice pitches (alto and bass) a...
Usability and user experience (UX) evaluation frameworks are well established within human–computer interaction and human factors research, yet they are typically applied as general-purpose models that do not fully capture the specific cognitiv...
Childhood obesity has become a major public health concern worldwide, highlighting the need for innovative educational interventions that promote healthier dietary behaviors from an early age. Virtual reality (VR) serious games have emerged as a prom...
Hard exudates (HEs) are among the earliest clinical manifestations of diabetic retinopathy (DR) and serve as important indicators for disease diagnosis and progression assessment. Accurate segmentation of HEs is therefore essential for early interven...
This study presents an inappropriate-content classification framework for digital-violence detection in Ecuadorian Spanish, addressing extreme class imbalance and dialectal variation. Data were collected in a post-API setting through a Selenium-based...
In social media contexts, recommendation systems are significant for enhancing the delivery of personalized content. More traditional recommendation systems aim primarily for recommendation accuracy, but do little on the topic related to the explaina...
Background: Large language models are increasingly used for rubric-based grading, but it remains unclear whether they adapt selectively when criterion weights change while the response, criterion definitions, and total score remain fixed. This study...
The inherent uncertainty of concrete dam systems, together with the complex influence of environmental loads and measurement noise, makes it difficult for traditional deterministic point prediction models to provide reliable deformation forecasts. In...
Visual analytics combines computational analysis with interactive visual representations and may strengthen pharmacovigilance, but its use in drug safety research has not been systematically characterized. This scoping review mapped the extent, chara...
Agentic AI is changing enterprise cybersecurity as AI systems move beyond passive content generation toward autonomous planning, tool use, delegated execution, and operational action. As agents connect to email, code repositories, security operations...
Virtual reality (VR) can support orientation in complex environments, but most VR systems remain vision-dominant and may create barriers for users with visual impairments. This study developed and formatively evaluated a Generative AI-augmented acces...
Owing to unknown hydrodynamic characteristics, unmeasurable external disturbances and uncertain control coefficients, conventional control strategies that rely on precise mechanistic models often suffer from notable performance degradation. To addres...
The rapid digitalization of health resources highlights the need to understand health information adoption in Indonesia. This study examines trust-related HBM belief pathways and Health Information Access Behavior (HIAB) as both a direct predictor an...
Adaptive and explainable systems are two critical concepts in personalized learning that enhance the customized experience based on the adjusted content according to the individual learning of a learner. In this paper, we present a modular and interp...
Personal health management and clinical health systems are increasingly being transformed by data-driven smart technologies that enable remote monitoring, predictive analytics, and digitally mediated care. Wearable technologies contribute to this tra...
Skeleton-based human action recognition can support digital construction and renovation monitoring by converting worker motions into structured information for safety and process management. However, workers are often occluded by tools, materials, fu...
The importance of understanding how feature engineering contributes to breast cancer metastasis analytics is growing as artificial intelligence (AI) technologies rapidly transform the field of precision oncology. This systematic review collated, them...
Sex differences in intensive care unit (ICU) admission and treatment are reflected in the underrepresentation of women, poorer outcomes, and higher mortality risk. Historical exclusion from clinical trials has limited evidence for providing sex-speci...
This paper aimed to identify the institutional readiness factors that would affect IoT adoption in library management in the future, validate their relevance in the Ghanaian higher education context and propose recommendations for an IoT adoption fra...
Public sector value generation increasingly relies on data provided by information systems, yet the impact of data quality (DQ) on decision-making remains underexamined. While prior research has identified associations between DQ and decision outcome...
