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Informatics
Scopus
ISSN 2227-9709 · MDPI AG · 900 artikel di indeks
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Artikel Jurnal Teks lengkap
Visual Harmony Between Avatar Appearance and On-Avatar Text: Effects on Self-Expression Fit and Interpersonal Perception in Social VR
In social virtual reality (VR) and metaverse platforms, users express their identity through both avatar appearance and on-avatar textual cues, such as speech balloons. However, little is known about how the harmony between these cues influences self-representation and social impressions. We…
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A Model-Driven Engineering Approach to AI-Powered Healthcare Platforms
Artificial intelligence (AI) has the potential to transform healthcare by supporting more accurate diagnoses and personalized treatments. However, its adoption in practice remains constrained by fragmented data sources, strict privacy rules, and the technical complexity of building reliable…
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Equity, Function, and Data: A Review of Social and Functional Representation in AI Datasets for Traumatic Brain Injury
Traumatic brain injury (TBI) is a leading cause of long-term disability worldwide, and each person’s recovery looks different. Artificial intelligence (AI) offers promising tools to project individual outcomes. However, these models are impacted by the quality and inclusiveness of the dataset on…
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Comparative Evaluation of LSTM and 3D CNN Models in a Hybrid System for IoT-Enabled Sign-to-Text Translation in Deaf Communities
This paper presents a hybrid deep learning framework for real-time sign language recognition (SLR) tailored to Internet of Things (IoT)-enabled environments, enhancing accessibility for Deaf communities. The proposed system integrates a Long Short-Term Memory (LSTM) network for static gesture…
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Virtualizing of Team Processes and Team Performance
This study explores the virtualizability of team processes and their implications for team performance during the COVID-19 pandemic. The main research question was: What is the effect of the ease of virtualizing team processes on the outcomes of teams that have shifted from in-person to virtual…
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Bridging Europe’s Digital Divide: Macro-Digital Preconditions for Sustainable LLM Adoption in Retail
The deployment of large language models (LLMs) in commercial environments depends critically on the availability of robust digital infrastructure, scalable computing resources, and mature cloud architectures. This study examines how macro-level digital infrastructure, in particular cloud computing…
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Using Process Mining Techniques to Enhance the Patient Journey in an Oncology Clinic
The cancer care pathway comprises several stages encompassing diagnosis, treatment, and follow-up. Studies show that delays in treatment initiation are associated with worse outcomes, including increased mortality, reduced progression-free survival, and diminished post-treatment quality of life. To…
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LinguoNER: A Language-Agnostic Framework for Named Entity Recognition in Low-Resource Languages with a Focus on Yambeta
This paper presents LinguoNER, a practical and extensible framework for bootstrapping Named Entity Recognition (NER) in extremely low-resource languages, demonstrated on Yambeta, a Bantu language spoken by a minority community in Cameroon. Due to scarce digital resources and the absence of…
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HierFinRAG—Hierarchical Multimodal RAG for Financial Document Understanding
Financial document understanding remains a critical challenge for Large Language Models, primarily due to the complex interplay between narrative text and structured numerical tables. Existing Retrieval-Augmented Generation (RAG) systems often treat these modalities in isolation, leading to…
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CPG-EVAL: Evaluating the Readiness of Large Language Models as Assistants and Teammates in Language Teaching
Large language models (LLMs) have begun to function as assistants or teammates in language learning, teaching, and research. However, what prerequisites are required for LLMs to reliably play these roles, and how such prerequisites should be measured, remains under-discussed. This study focuses on…
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An AIoT-Based Framework for Automated English-Speaking Assessment: Architecture, Benchmarking, and Reliability Analysis of Open-Source ASR
The emergence of low-cost edge devices has enabled the integration of automatic speech recognition (ASR) into IoT environments, creating new opportunities for real-time language assessment. However, achieving reliable performance on resource-constrained hardware remains a significant challenge…
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Leveraging Informatics to Manage Lifelong Monitoring in Childhood Cancer Survivors
Background: Electronic health records (EHR) have long held promise for sharing information efficiently, but this remains challenging. This quality improvement initiative sought to improve the accurate documentation of anthracycline and radiation therapy exposures in pediatric oncology patients who…
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A Highly Robust Approach to NFC Authentication for Privacy-Sensitive Mobile Payment Services
The rapid growth of mobile payment systems has positioned Near Field Communication (NFC) as a core enabling technology. However, conventional NFC protocols primarily emphasize transmission efficiency rather than robust authentication and privacy protection, which exposes users to threats such as…
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Exploring Scientific Literature Using Topic Modeling: A Practical Framework for Discovery and Classification
The increasing volume and diversity of scientific publications poses challenges for scalable and interpretable topic discovery and automated document categorization. This study proposes an integrated framework that combines probabilistic topic modeling with supervised classification to support…
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AI-Enhanced Skill Assessment in Higher Vocational Education: A Systematic Review and Meta-Analysis
This study synthesizes empirical evidence on AI-supported skill assessment systems in higher vocational education through a systematic review and meta-analysis. Despite growing interest in generative AI within higher education, empirical research on AI-enabled assessment remains fragmented and…
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Generative AI in Developing Countries: Adoption Dynamics in Vietnamese Local Government
Generative Artificial Intelligence (GenAI) is rapidly reshaping public-sector operations, yet its adoption in developing countries remains poorly understood. Existing research focuses largely on traditional AI in developed contexts, leaving unanswered questions about how GenAI interacts with…
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Investigating the Impact of Education 4.0 and Digital Learning on Students’ Learning Outcomes in Engineering: A Four-Year Multiple-Case Study
Education 4.0 and digital learning have led to a technology-driven transformation in educational methodologies and the roles of teachers, primarily at Higher Education Institutions (HEIs). From an educational standpoint, the extant literature on Education 4.0 highlights its technological features…
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An Optimized Superpixel-Based Framework for Hard Exudates Segmentation Incorporating Multi-Stage Preprocessing
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 intervention and prevention of vision loss. However…
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Inappropriate Content Classification Model for Digital Violence Detection Using Hybrid Data
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 scraping pipeline that reconstructs…
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NutriQuest VR Game: An Immersive Serious Game for Promoting Healthy Dietary Behaviors Among Children
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 promising approach for supporting behavior change…