Analyzing Research Trends in Smart Construction Safety: A Topic Modeling Approach by Hyun Jeong Seo, Young-Geun Yoon

“…The study highlights the application of digital twins, the IoT, and big data for real-time monitoring, predictive risk management, and resource optimization. …”
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Robustness and Efficiency Considerations When Testing Process Reliability with a Limit of Detection by Laura S. Bumbulis, Richard J. Cook

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Fast Islanding Detection for Distribution System including PV using Multi-Model Decision Tree Algorithm by Rasool Ebrahimi, Ghazanfar Shahgholian, Bahador Fani

“…Probable events are simulated under different system operating states to generate classification data set. The pro­po­sed method is tested on typical distribution system including the PV unit, different loads, and synchronous generator. …”
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Museums in Dispute: Artificial Intelligence, Digital Culture, and Critical Curation by Priscila Arantes

“…Methodologically, the article combines critical theoretical review with analysis of institutional and artistic case studies, highlighting practices that appropriate the supposed neutrality of data to develop a critical pesrpective and advocate for more inclusive, distributed, and politically engaged curatorial narratives.…”
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The V4: a Decade after the EU Entry by Eduard Nežinský, Elena Fifeková

“…Non-parametrical part employs an SBM measure of efficiency in Data envelopment analysis as an application of linear programming optimization. …”
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Past, Present, and Future of HNR: Reflections on the Practices and Methods in Historical Network Research Based on a Quantitative Survey by Lea Weiß, Laura von Welczeck, Malte Vogl, Marten Düring, Aleksandra Kaye, Jascha Merijn Schmitz, Raphael Schlattmann, Bernardo Sousa Buarque

“…In the context of a broadening landscape of methods, the results underline the importance of developing common practices that facilitate data interoperability, resources fostering methodological literacy, as well as approaches for the fitting and validation of promising network analysis methods for various application scenarios in the historical sciences. …”
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CIRCULAR ECONOMY AND SUSTAINABILITY SUPPORTED BY DIFFERENT INFORMATION TECHNOLOGY MODELS by STEVOVIC IVAN, HADROVIĆ SABAHUDIN, JOVANOVIC MIHAILO

“…Information technologies such as big data analytics, Internet of Things (IoT), blockchain, and artificial intelligence(AI) are examined for their potential to optimize resource management, enhance supply chain transparency, and facilitate the transition towards a circular economy model. …”
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Sales Segmentation Analysis of Tobacco Products Using the K-Means Clustering Method by Yance Sonatha, Aldo Erianda, Redhatul Fitri

“…This study significantly contributes to the application of data mining technology in the tobacco retail sector, despite being limited to a single store and basic variables. …”
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Multi-Maneuvering Target Tracking Based on a Gaussian Process by Ziwen Zhao, Hui Chen

“…Aiming at the uncertainty of target motion and observation models in multi-maneuvering target tracking (MMTT), this study presents an innovative data-driven approach based on a Gaussian process (GP). …”
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Attention and Outcomes Across Learning Conditions in L2 Vocabulary Acquisition: Evidence from Eye-Tracking by Yiyang Yang, Hulin Ren

“…However, the impact of different learning conditions on attention and learning outcomes remains underdeveloped, particularly through the application of eye-tracking technology. This study aims to evaluate the effect of intentional learning conditions (i.e., data-driven learning) on vocabulary learning and attentional allocations. …”
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Integrating pharmacogenetics, multi‐omics and machine learning in the novel therapeutic view of pulmonary hypertension by Chenxi Li, Jipeng Xue, Dongchen Zhou, Xiaomeng Qi, Ting Chen, Zhoubin Li

“…Furthermore, the gradual widespread application of omics analyses, big data and machine learning is a trend to improve the efficacy of drugs and gene therapy of PH. …”
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Artificial Intelligence in Thoracic Surgery: Transforming Diagnostics, Treatment, and Patient Outcomes by Sara Lopes, Miguel Mascarenhas, João Fonseca, Maria Gabriela O. Fernandes, Adelino F. Leite-Moreira

“…AI-based tools can be employed in medicine, and by extracting useful information from big data, they allow for the early diagnosis of diseases like lung cancer. …”
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Fractal Algorithm for Multiple-lens Analyses by F. Abe

“…However, in the past, the method used to analyze microlensing data could not deal with complex lens systems. The number of lenses was limited to three or less. …”
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The impact of artificial intelligence on research efficiency by Mitra Madanchian, Hamed Taherdoost

“…However, challenges such as bias in algorithms, concerns about data privacy, and deficiencies in the infrastructure impede wide-scale application. …”
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Resource-Exploration-Oriented Lunar Rocks Monocular Detection and 3D Pose Estimation by Jiayu Suo, Hongfeng Long, Yuebo Ma, Yuhao Zhang, Zhen Liang, Chuan Yan, Rujin Zhao

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The 3D tooth model segmentation method based on GAC+PointMLP network by Jianjun Chen, Liyuan Zheng, Huilai Zou, Jiafa Mao, Weiguo Sheng

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Preliminary results suggest observations from Macau Science Satellite-1 system can improve knowledge of tidal-induced magnetic fields by ZhengYong Ren, YiPiao Huang, Cong Yang, ChaoJian Chen, Keke Zhang

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The Use of Selected Machine Learning Methods in Dairy Cattle Farming: A Review by Wilhelm Grzesiak, Daniel Zaborski, Marcin Pluciński, Magdalena Jędrzejczak-Silicka, Renata Pilarczyk, Piotr Sablik

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Forecasting the volatility of Financial Time Series by Tree Ensembles by O. S. Vidmant

“…The author demonstrated the application of calculation methods on the basis of an array of historical price data (Open, High, Low, Close) and volume indicators (Volumes) of futures trading on the RTS index with a five-minute time interval and an annual set of historical data. …”
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Digitalization of railway transportation through AI-powered services: digital twin trains by Salih Sarp, Murat Kuzlu, Vukica Jovanovic, Zekeriya Polat, Ozgur Guler

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