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Interaction design for virtual-real confrontation training system based on target agent
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2163
Text Moderation in Online Communities: Integrating User Attributes and Interaction Graph Embedding
Published 2025-06-01“…Most existing text moderation research approaches it from a text classification perspective, focusing mainly on the text content itself with scant attention to the factors of the text publishers. …”
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2164
Design and Validation of an Obstacle Contact Sensor for Aerial Robots
Published 2024-12-01“…Obstacle contact detection is not commonly employed in autonomous robots, which mainly depend on avoidance algorithms, limiting their effectiveness in cluttered environments. …”
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2165
How do generative artificial intelligence (AI) tools and large language models (LLMs) influence language learners’ critical thinking in EFL education? A systematic review
Published 2025-08-01“…A thorough review of 15 selected studies focuses on generative AI tools and LLMs’ dual nature, research methods, main focuses, theory and models, limitations and challenges, and future directions in the field based on Web of Science (WoS), SCOPUS, ERIC, ProQuest, and Google Scholar. …”
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2166
Enhancing Solar Plant Efficiency: A Review of Vision-Based Monitoring and Fault Detection Techniques
Published 2024-09-01“…The current performance and failures of vision-based algorithms for solar panel fault detection are identified, raising their capabilities, limitations and research gaps, towards effectively guiding future research. …”
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THE AXIOMATIC METHOD IN ECONOMICS
Published 2017-10-01“…There are two solutions: the endogenous development of methods within each science by increasing the existing methodological base; and the exogenous development by making use of methods, techniques, algorithms of research from other sciences. The paper focuses on the development of the economic science methodology through utilization of the axiomatic method used in mathematics. …”
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2168
Socioeconomic and Cultural Determinants of the Development of Artificial Intelligence
Published 2024-05-01“…The main results indicate highly significant effects of GDP per capita, its growth rate, research and development funding, and the degree of urbanisation. …”
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The Improvement of Energy Harvesting Efficiency of Constant Current Source
Published 2019-06-01“…Thus, the differential resistance of photovoltaic module is examined to determine the parameters of the maximum power point mode. The main result of the research is the model, which differs from the known models by the description of the dependence between the buck-boost converter duty cycle and input equivalent current source parameters in the maximum power point mode. …”
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2170
Neutrosophic Fuzzy Power Management (NFPM): Tackling Uncertainty in Energy Harvesting for Sensor Networks
Published 2025-02-01“…This paper presents a novel approach known as Neutrosophic Fuzzy Power Management (NFPM) aimed at addressing the critical challenge of uncertain energy availability in Energy Harvesting Sensor Networks (EHWSNs). The main objective of this research is to enhance the management of energy resources within these networks, which traditional fuzzy logic methods often fail to do, leading to power failures and reduced reliability. …”
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2171
Balancing Performance and Portability: A Study on CsI(Tl) Crystal Sizes for Real-Time Gamma-Ray Spectrum and Dose Monitoring
Published 2024-07-01“…The monitor consists mainly of a CsI(Tl) scintillator and a multi-pixel photon counter (MPPC). …”
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Association between Alzheimer's disease pathologic products and age and a pathologic product-based diagnostic model for Alzheimer's disease
Published 2024-12-01“…BackgroundAlzheimer's disease (AD) has a major negative impact on people's quality of life, life, and health. More research is needed to determine the relationship between age and the pathologic products associated with AD. …”
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Exploring the VAK model to predict student learning styles based on learning activity
Published 2025-03-01“…Our results show that the Random Forest algorithm achieved the highest accuracy with 98 %.This research shows how machine learning techniques embedded in learning analytics could expand the functionalities of VLEs toward greater personalization and effectiveness, with every student receiving the best educational experience that suits their learning styles.…”
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2174
Detecting unknown vulnerabilities in smart contracts using opcode sequences
Published 2024-12-01“…However, the current research on smart contract vulnerabilities mainly focuses on known vulnerabilities, and the research on unknown vulnerabilities has been limited. …”
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2175
The formation, development and classification of rail corrugation: a survey on Chinese metro
Published 2024-08-01“…By employing t-distributed stochastic neighbor embedding (t-SNE) for dimensional reduction and employing the unsupervised clustering algorithm DBSCAN, the research redefines the classification of metro rail corrugation based on characteristic information. …”
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2176
Non-Destructive Measurement of Rice Spikelet Size Based on Panicle Structure Using Deep Learning Method
Published 2024-10-01“…The test results showed that the root mean square error (<i>RMSE</i>) of spikelet length for two rice varieties (Huahang15 and Qingyang) were 0.26 mm and 0.30 mm, respectively, while the corresponding <i>RMSE</i> of spikelet width was 0.27 mm and 0.31 mm, respectively. The proposed algorithm can provide an effective, convenient and low-cost tool for yield evaluation and breeding research.…”
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2177
A GIS-Based Framework to Analyze the Behavior of Urban Greenery During Heatwaves Using Satellite Data
Published 2024-10-01“…This work proposes a new unsupervised method to evaluate the behavior of urban green areas in the presence of heatwave scenarios by analyzing three indices extracted from satellite data: the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Moisture Index (NDMI), and Land Surface Temperature (LST). The aim of this research is to analyze the behavior of urban vegetation types during heatwaves through the analysis of these three indices. …”
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Mathematical Modeling of Optimal Drone Flight Trajectories for Enhanced Object Detection in Video Streams Using Kolmogorov–Arnold Networks
Published 2025-06-01“…This study addresses the critical challenge of optimizing drone flight parameters for enhanced object detection in video streams. While most research focuses on improving detection algorithms, the relationship between flight parameters and detection performance remains poorly understood. …”
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2179
Fault Tolerance and Fallback Strategies in Connected and Automated Vehicles: A Review
Published 2025-01-01“…However, their reliance on sophisticated sensors and complex algorithms poses challenges, especially in scenarios with uncertainties, constraints, or failures. …”
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Using the Nutri-Score to visualise food reformulation in Germany: the case of breakfast cereals
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