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Technologies
Scopus
ISSN 2227-7080 · MDPI AG · 2.300 artikel di indeks
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Artikel Jurnal Teks lengkap
Fault Diagnosis for IP-Based Networks Using Incremental Learning Algorithms and Data Stream Methods
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 traffic and control overhead, newer approaches face…
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Spatial Transformation of Hotel Buildings Through Smart Technologies: Employees’ Perceptions
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-learning-based robustness testing. Grounded in the…
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Training Methods for Large Language Models: Current Approaches and Challenges
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 integrate large-scale self-supervised pre-training…
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A Data-Driven Framework for the Development of Reliability-Aware Business Process Digital Twins
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 for BP simulation primarily focus on…
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Virtual Reality to Engage People with Motor Disability in Leisure-Time Physical Activity: A Scoping Review
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 is to identify research focusing on VR, LTPA, and…
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Research and Implementation of Local Spatiotemporal Event Quantities Denoising Algorithm Based on Event-Based Vision Sensors
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 intensity makes EVSs particularly sensitive to…
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Development and Implementation of a Smart Water Metering and Monitoring System for Homes with Intermittent Water Supply
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 intermittent water supply (IWS), where consumers…
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Optimizing Computer Vision for Edge Deployment in Industry 4.0: A Framework and Experimental Evaluation
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-aware optimization framework designed to bridge this…
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Curriculum-Aware Retrieval-Augmented Generation for Bilingual Tutoring in Low-Resource Swahili–English Secondary Schools
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) offer scalable instructional support, they…
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Optimizing Interface Dielectric Loss in Superconducting Coplanar Waveguide Resonators for Improved Quantum Circuit Coherence
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 platform for characterizing these material losses…
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Immersive E-Learning Technologies and Entrepreneurial Intention in Business Education
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 final-year undergraduate students enrolled in…
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Online Fault Detection, Classification and Localization in PV Arrays Using Feedforward Neural Networks and Residual-Based Modeling
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 fault detection techniques (FDTs) in literature…
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Modeling of a Hardware and Software System for Non-Invasive Monitoring of the Feeding Behavior of Farm Animals
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 and individual recognition have been developed and…
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Prediction of Retired EV Batteries’ Usable Capacity for Repurposing in Second-Life Applications
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 applications. This paper predicts the usable…
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Optimization of Spray-Pyrolyzed Cu2ZnSnS4 Thin Films Through Gamma Irradiation and Box–Behnken Design to Enhance Photocatalytic Degradation Efficiency
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 properties of CZTS thin films, with the objective of enhancing…
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Comparative Evaluation of Rule-Based and Transformer-Based Text-Mining Methods for Detecting SGLT2 Inhibitor Mentions in Unstructured Clinical Free Text
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) inhibitors, but remains challenging due to spelling…
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Ripple Minimization Method for a Modified Non-Inverting Buck–Boost DC–DC Converter
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 equivalent circuits without increasing the switching…
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Additive Manufacturing in Space: Process Physics, Qualification, and Future Directions
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 fundamentally alters melt pool dynamics, heat…
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Hierarchical Autonomous Navigation for Differential-Drive Mobile Robots Using Deep Learning, Reinforcement Learning, and Lyapunov-Based Trajectory Control
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 an integrated navigation framework for…
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Hybrid Plasmonic–Photonic Panda-Ring Antenna Embedded with a Gold Grating for Dual-Mode Transmission
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 structure integrates high-Q whispering-gallery…
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