2026 February - 62 articles
This study provides a comprehensive empirical examination of the factors influencing the adoption of smart technologies in the Serbian hotel industry by integrating structural equation modeling (SEM), mediation and multigroup analyses, and machine-le...
Leisure time physical activity (LTPA) plays a vital role in preventing and managing chronic diseases in people with disabilities (PWD). Using virtual reality (VR) can help people feel more comfortable and confident about LTPA. The aim of this study i...
Digital Twin (DT) technologies are increasingly adopted as valuable methods to support the analysis and optimization of Business Processes (BPs). The use of simulation-based techniques in the BPM context is not new. Nonetheless, existing approaches f...
The need for efficient water management is critical today, as this resource faces increasing scarcity due to population growth, pollution, climate change, depletion, and overexploitation of water resources. This further exacerbates the problem of int...
Event-based vision sensors (EVSs), with the core advantages of low latency, high dynamic range, and low data volume, have become one of the research hotspots in the field of computer vision. However, the characteristic of detecting changes in light i...
Large Language Models (LLMs) have emerged as a dominant paradigm in natural language processing, demonstrating strong performance across a wide range of generation and reasoning tasks. These systems depend on multi-stage training pipelines that integ...
Network fault diagnosis has evolved in response to the needs of modern networks, transitioning from traditional methods, such as passive and active monitoring, to advanced learning techniques. While conventional methods often introduce invasive traff...
This study explores how immersive e-learning technologies influence entrepreneurial intention among business education students, with a focus on the mediating role of learning satisfaction. Using a quantitative approach, data were collected from 561...
Fast and reliable fault detection is critical in photovoltaic (PV) systems to improve reliability and energy yield and reduce maintenance costs, ensuring safe and efficient operation under varying operating conditions. Although recent data-driven PV...
In Tanzanian secondary education, Swahili-language-based question-answering systems currently face systemic disparities and linguistic barriers, which undermine the fairness and justice of the educational system. While Large Language Models (LLMs) of...
Superconducting quantum computing systems, including coplanar waveguide (CPW) resonators and qubits, are highly susceptible to energy dissipation from two-level systems (TLS) within bulk and interfacial dielectrics. CPW resonators serve as an ideal p...
This paper presents the design of a hardware–software system for non-invasive automated monitoring of feeding behavior in livestock with biometric identification of individual animals. Neural network models for animal identification from images...
Integrating high-performance computer vision (CV) into Industry 4.0 environments remains a challenge due to the computational disparity between state-of-the-art (SOTA) models and resource-constrained edge hardware. This study proposes a hardware-awar...
Autonomous navigation in mobile robots operating in dynamic and partially known environments demands the coordinated integration of perception, decision-making, and control while ensuring stability, safety, and energy efficiency. This paper presents...
Increasing electric vehicle (EV) adoption raises concerns about EV waste management and the impact on the environment. To improve energy efficiency and exploit their remaining usable capacity, the retired batteries may be repurposed in second-life ap...
This paper presents an improved switching strategy developed for the Modified Non-Inverting Step-Down/Up (MNI-SDU) DC–DC converter. Unlike previously studied switching strategies, the proposed approach changes the firing sequence and then the e...
Much of the patient data recorded in electronic health records is stored as unstructured free text. Extracting medication information from such data is essential, particularly for antidiabetic drugs such as sodium–glucose cotransporter-2 (SGLT2...
Additive manufacturing has emerged as a key enabling technology for in-space manufacturing, offering the potential to reduce logistics mass, enhance mission autonomy, and support long-duration exploration. The suppression of gravity-driven phenomena...
An integrated methodology was employed, incorporating spray pyrolysis synthesis, gamma irradiation post-treatment, and Box–Behnken statistical optimization. This approach was designed to systematically refine the structural and optical properti...
Surface electromyography (EMG) can drive assistive training systems in neurorehabilitation. This systematic review and meta-analysis evaluated whether EMG-driven device-assisted rehabilitation improves upper-limb (UL) and lower-limb (LL) outcomes ver...
This paper presents a comprehensive technology-oriented review of aerospace development in Peru, integrating historical scientific infrastructure, suborbital experimentation, orbital satellite missions, and a systematic literature review of contempor...
Intrusion detection systems (IDS) often struggle to detect rare but high-impact attack behaviors due to severe class imbalance in real-world network traffic. This work proposes a class-specific GAN-based augmentation framework that explicitly targets...
Acne severity grading is an important dermatological task that supports clinical diagnosis, treatment planning, and disease monitoring. Although self-supervised learning (SSL) has gained interest as a means to reduce reliance on large annotated datas...
Predictive maintenance (PdM) is a strategic enabler of healthcare digitalization, yet its deployment remains constrained by methodological weaknesses in model evaluation. Biomedical maintenance data, structured around equipment life cycles and repeat...
Epilepsy is a common neurological disorder affecting over 50 million people worldwide, characterised by recurrent seizures accompanied by abnormal neuronal electrical activity. Electroencephalogram (EEG) is a technique for recording brain electrical...
This paper presents a systematic numerical investigation of a hybrid plasmonic–photonic Panda-ring antenna with an embedded gold grating, designed to enable efficient dual-mode radiation for optical and terahertz communication systems. The proposed s...
The global shift toward decarbonized power systems is driving unprecedented penetration of variable renewable energy sources, especially wind and solar PV. Legacy grid architectures, built around centralized, dispatchable synchronous generation, are...
With the rapid growth of global social media users, platforms have become crucial venues for shaping public opinions. However, most existing multimodal topic models focus on large-scale content analysis and often fail to capture nuanced patterns in i...
This paper presents a novel design technique using beam-forming networks based on CORPS (coherently radiating periodic structures) technology to achieve the simplification of the feed network of Fermat spiral antenna arrays. The use of one-layer CORP...
Wireless sensor networks (WSNs) are foundational to modern smart environments, supporting applications ranging from healthcare and precision agriculture to industrial control and disaster response. Despite their potential, WSNs remain constrained by...
This work underscores the importance of developing and refining machine learning (ML) methods to meet the specific demands of anomaly detection in 5G-powered environments. It addresses key challenges, including the deployment of robotics within indus...
Advances in medical care now enable significant functional recovery after traumatic limb injuries. The return-to-duty decision-making process is highly variable and dependent on multiple factors. To retain service members (SM) post-injury, there need...
The role of microneedles (MNs) in enhancing tissue permeability has long been established. Their capacity to serve as drug-delivery vehicles or biosensing platforms makes them ideal candidates for applications in which tissue serves as the primary pa...
Blue–green infrastructure (BGI) is an important nature-based solution for mitigating urban overheating, and machine learning (ML) techniques offer strong potential in capturing the complex, nonlinear relationships between influencing factors an...
The performance degradation of electronic power components during long-term operation can compromise system reliability and safety. Therefore, accurately predicting their remaining useful life (RUL) is critical for the reliability of safety-critical...
The application of quantum physics principles has opened the door to a radically different way of conceiving and performing data computation. While still in its infancy, quantum computation offers the potential to efficiently solve problems that are...
Image deraining is a crucial preprocessing task for enhancing the robustness of high-level vision systems under adverse weather conditions. However, most of the existing methods are limited to a single RGB color space, and it is difficult to effectiv...
This paper presents a compact mixed-mode first-order universal filter based on a single voltage differencing current conveyor (VDCC), which can function in all four possible operation modes, i.e., voltage mode (VM), trans-admittance mode (TAM), curre...
The past years have seen a progressive process of urbanization and upgrading, along with the intelligentialization and popularity of supply-demand sides through advanced information and communication technologies [...]
No systematic review has previously examined the application of large language models (LLMs) for generating impressions from radiology report findings. This study systematically reviews the performance of LLMs on this task and their associated evalua...
Whole-body vibration (WBV) remains a critical factor influencing ride comfort, driver performance and occupational health in vehicle applications. Despite the widespread use of standardized indicators, assessing WBV exposure and its perceptual implic...
Accurate solar forecasting is critical for photovoltaic integration, particularly in regions with complex terrain and limited observations. This study benchmarks five deep learning architectures—MLP, RNN, LSTM, CNN, and a Grey Wolf Optimizer&nd...
Electroencephalography-based motor imagery (EEG-MI) classification is a cornerstone of Brain–Computer Interface (BCI) systems, enabling the identification of motor intentions by decoding neural patterns within EEG signals. However, conventional...
This systematic review examines recent advances in blockchain-based electronic voting systems, motivated by the need for more transparent, secure, and verifiable electoral processes. The rapid growth of research between 2022 and 2025 highlights block...
With the increasing application of unmanned aerial vehicle (UAV) in multiple fields, the path planning problem has become a key challenge in the optimization domain. This paper proposes an Improved Artificial Lemming Algorithm (IALA), which incorpora...
The use of virtual reality for pilot flight training, whether as a stand-alone device, or to augment or replace a conventional simulator, has gained significant attention in recent years. The primary purported benefit of virtual reality is its increa...
This paper presents the development of an Intelligent Virtual Instrument (VI) for detecting and characterizing corrosion on aluminum and steel surfaces. Implemented within the LabVIEW® environment, the system utilizes colorimetric computer vision...
Obstructive sleep apnea (OSA) is a common sleep disorder that impacts patient health and imposes a burden on families and healthcare systems. The diagnosis of OSA is usually performed through overnight polysomnography (PSG) in a hospital setting. In...
Technology interventions have great potential to support the complex needs of older adults living in residential aged care, contributing to their general well-being. This scoping review aims to provide an overview of how different technological inter...
Online signature verification (OSV) is a challenging problem in behavioral biometrics, especially when skilled forgeries closely mimic genuine signatures in both appearance and dynamics. This study presents a multi-class OSV framework that combines h...
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