2026 February - 106 articles
The digital carbon footprint denotes the environmental impact generated by digital technologies throughout their lifecycle. Industry 4.0 manufacturing environments rely extensively on data processing, information storage, and artificial intelligence,...
Learning Management Systems (LMSs) remain largely static and administrative, often failing to support personalization and inclusive access to learning resources. This paper presents AI for All, a practical approach to building an adaptive, accessible...
Understanding how patients engage with digital health technologies is critical for improving the reach and equity of telehealth services. While prior research has largely focused on demographic predictors of telehealth use, this study applies a hybri...
Yak daily behaviors, including feeding, standing, lying down, and walking, are closely related to their health status, making accurate behavior recognition essential for intelligent monitoring and management in yak husbandry. However, real-world graz...
This paper presents a novel architecture for creating light agents embedded on Internet of Things (IoT) devices, specifically addressing challenges such as security, scalability, and adaptability. Despite the increasing adoption of agent-based approa...
This study advances understanding of public trust in artificial intelligence (AI) by distinguishing between overall trust in AI as a system and trust in specific AI components, and by disentangling the roles of perceived capacity, risk, and personhoo...
Ransomware represents a critical and escalating threat to public institutions in developing nations, where cybersecurity is often underprioritized. While technical vulnerabilities are significant, this study investigates the under-explored socio-orga...
Hazard recognition on construction sites is crucial for ensuring worker safety. Traditional methods widely rely on expert assessments, on-site inspections, and checklists, which can be time-consuming and susceptible to human error. The integration of...
The rapid advancement of Industry 5.0 and the concurrent growth of the Industrial Internet of Things (IIoT) present significant cybersecurity challenges necessitating advanced solutions. Digital Twin technology, which enables the creation of near-per...
Employee turnover presents a significant challenge to modern organizations, often resulting in operational disruptions, substantial hiring costs, and a loss of institutional knowledge. While traditional human resource practices have historically been...
Real-world Knowledge Graphs (KGs) are inherently incomplete, which hinders effective downstream reasoning. While Large Language Models (LLMs) possess powerful semantic capabilities, directly applying them to Knowledge Graph Completion (KGC) often lea...
Conversational Agents have been showing promise for depression in adults in the short-term. Although, there has been little research done for conversational agents (CAs) with depression in adolescents. This study aimed to determine adolescents’...
Virtual reality (VR) is increasingly integrated into the rehabilitation of children with cerebral palsy (CP). However, evidence to substantiate its potential as part of standard care remains limited. This Phase 1 study aimed to evaluate a VR-based im...
Cyberbullying demonstrates notable metaphorical and contextual traits, characterized by a high-dimensional sparse semantic space and dynamic evolution. Pre-trained models utilize extensive textual data for learning and employ transformer-based word v...
Generative AI offers promising potential to promote environmental sustainability through personalized recommendations that influence individual behavior. This study examines the factors influencing the adoption and actual use of generative AI recomme...
This paper introduces DK-PRACTICE, an intelligent educational platform that combines Knowledge Tracing (KT) and recommendation systems to support personalized learning in higher education. The platform utilizes a novel Paired Bipolar Bag-of-Words (PB...
Speech-driven face generation aims to synthesize a face image that matches a speaker’s identity from speech alone. However, existing methods typically trade identity fidelity for visual quality and rely on large end-to-end generators that are d...
This paper presents a framework that integrates blockchain-enabled Federated Learning (FL) with consensus mechanisms to mitigate poisoning attacks in healthcare environments. The framework incorporates blockchain consensus mechanisms, with Proof-of-W...
Traditional hydraulic transmission education is often hindered by the subject’s theoretical complexity and abstract nature. To address these challenges, this study introduces the Immersive Hydraulic Transmission Laboratory (IHTL), a virtual tea...
Neural machine translation (NMT) performance is strongly influenced by tokenization strategies, particularly for morphologically rich languages such as Arabic. Despite the importance of tokenization, there is a lack of controlled, reproducible studie...
Lesson preparation plays a crucial role in structuring and organizing the teaching process. However, traditional lesson design and presentation creation require teachers to spend a considerable amount of time reviewing the literature and organizing m...
The convergence of Lean manufacturing and Industry 4.0 requires digital infrastructures capable of transforming high-frequency telemetry into actionable insights. However, architectures that integrate near real-time data with closed-loop process cont...
Food manufacturing faces challenges in balancing efficiency, energy use, and quality. This paper presents a Hybrid Digital Twin Architecture (HDTA). It combines simulation, constraint programming, and Industrial IoT into a closed-loop system. The arc...
The world is constantly challenged by complex crises—from the COVID-19 pandemic and geopolitical tensions to economic uncertainty and severe environmental disasters. During these critical times, individuals need to reflect on ethical values and...
Traditional signature-based anti-malware tools often fail to detect zero-day ransomware attacks due to their reliance on known patterns. This paper presents a real-time ransomware detection framework that models system behavior as a Reinforcement Lea...
Makerspaces in K-12 education are multidisciplinary and provide multiple points of intersection with different subjects, technologies, and pedagogies. At the forefront of the maker movement is an emphasis on positioning students as playing an active...
Intelligent Clinical Decision Support Systems (ICDSS) are increasingly integrated into healthcare settings to enhance clinical decision-making, efficiency, and patient safety. Despite advances in artificial intelligence-enabled decision support, ICDS...
The integration of Unmanned Aerial Vehicles (UAVs) with the Internet of Things (IoT) is revolutionizing a wide range of applications. However, collecting massive sensing data from large-scale fields efficiently remains challenging, constrained by the...
Higher education has undergone a profound transformation since the release of ChatGPT in November 2022. The introduction of this tool generated immediate interest among students while simultaneously provoking concern among faculty, who perceived it a...
Vignettes are brief, descriptive, hypothetical scenarios that have been used to extract attitudes, beliefs, or perceptions from participants across psychology, healthcare, and human–computer interaction. Traditional vignette development is ofte...
Achieving safe and efficient sequential decision-making in dynamic and uncertain environments is a core challenge in intelligent manufacturing and robotic systems. During operation, systems are often subject to coupled multi-source uncertainties&mdas...
Background: Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by inattention, motor hyperactivity and verbal and cognitive impulsivity. Impairments in executive functions (EFs), in particular working memor...
The accurate detection of electricity theft is crucial for reducing non-technical losses in smart grids. However, many existing data-driven methods rely on a single data modality, such as either the raw 1D consumption sequence or its transformed 2D i...
To address fragile feature representation in sparse regions and detail loss in occluded scenes caused by uneven sampling density in 3D point cloud semantic segmentation on the SemanticKITTI dataset, this article proposes an innovative framework that...
The increasing scale and imbalance of modern network traffic pose significant challenges for multi-class intrusion detection systems (IDSs), particularly in identifying rare attack types. Traditional intrusion detection approaches based on supervised...
Adversarial examples are crucial tools for assessing the robustness of deep neural networks (DNNs) and revealing potential security vulnerabilities. Adversarial example generation methods based on Generative Adversarial Networks (GANs) have made sign...
Local Differential Privacy (LDP) and its personalized variants (PLDP) have been widely used for privacy-preserving data analytics. However, existing schemes often enforce a uniform indistinguishability level among users, failing to accommodate the nu...
This research presents a large-scale thematic analysis of 66,002 Slovak university thesis abstracts, aimed at identifying, categorizing, and visualizing research trends across multiple academic disciplines. Using BERTopic for unsupervised topic model...
This study investigates how people in certain online communities engage with and adopt hateful rhetoric, specifically examining the escalation of antisemitic language in two deplatformed QAnon-related subreddits. Utilizing a lexicon of implicit and e...
Modern software development fundamentally relies on agile methodologies and DevOps practices to facilitate accelerated software delivery. Continuous integration and continuous deployment CI/CD are among the most critical DevOps practices that require...
In an era where digital transformation shapes the backbone of global aviation infrastructure, the cybersecurity of air transport systems is of paramount importance. This article assesses the complex cybersecurity landscape within the civil aviation e...
As a promising decentralized paradigm, the verifiable and redactable blockchain offers a feasible solution for achieving authorized and controlled redaction of on-chain data. However, existing schemes suffer from rapidly expanding ledgers caused by a...
Massive Open Online Courses (MOOCs) have emerged as a popular choice for learners as accessible and flexible education across the globe. Micro -are short skill-focused certifications offered within MOOCs to online learners. The interplay between mult...
With the proliferation of 5G, wireless networks, and other infrastructure, 360° video streaming has experienced rapid development. Efficient scheduling of 360° video streams relies on accurate feedback of user-side Quality of Experience (QoE)...
With the rapid advancement of remote sensing technology, remote sensing images are increasingly being used in applications such as geographical monitoring, disaster warning, and urban planning. However, detecting small objects—such as vehicles...
Lung cancer can be discovered at an early stage to enhance patient survival. However, existing screening tools are both resource-intensive and inaccessible in low-resource countries. This paper introduces a machine learning model that uses an ensembl...
The Four-Leg Three-Phase Voltage Source Inverter (4LVSI) is a versatile solution for integrating renewable energy sources (RESs) into distribution networks, as it compensates unbalanced voltages and currents while providing a path for zero-sequence c...
One of the key artefacts of epigraphy in Southeast Asia is the Singapore Stone inscription, which is, unfortunately, in a poor condition. There are huge spaces that separate the readable characters, rendering the text incomplete. This renders a tradi...
We develop an informational extension of spacetime thermodynamics in which local entropy production is coupled to spacetime curvature within an effective covariant framework. Spacetime is modeled as a continuum limit of finite-capacity information re...
Digital Mental Health Interventions (DMHIs) offer a scalable solution to the global mental health crisis, yet their real-world impact is often hampered by low user engagement. Gamification has been widely adopted as a strategy to enhance adherence, b...
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