Data processing pipeline for scientific publications to identify priority research areas by Iskandar B. Soliev

“…The relevance of the study is due to the impossibility of manually processing huge data sets and the need for operational strategic planning of scientific activities. …”
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Smart Data and Decision Support System for Local Optimization of Electric Charging Stations by Mauro Mazzei, Cristian Michelotti

“…This paper introduces an innovative Decision Support System (DSS) for the local optimization of Electric Vehicles (EV) charging station placement, integrating open data with advanced operational research. In contrast to existing works that typically isolate economic, geographic, or routing factors, our approach synergistically incorporates demographic statistics (ISTAT), geographic data (OpenStreetMap), and commuting patterns to optimize infrastructure deployment. …”
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Association between remnant cholesterol (RC) and endometriosis: a cross-sectional study based on NHANES data by Zeru Chen, Ruixuan Li, Jiajie Guo, Xiaorong Ye, Yang Zhou, Mingzhu Cao

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Changing Fuel Consumption Data in Official Vehicle Documents—Case Study in the Slovak Republic by Branislav Šarkan, Michal Loman, Jacek Caban, Arkadiusz Malek, Michal Richtář, Mária Stopková

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Fast and Cost-Effective Quantitative Assessment of the Chemical and Mineral Composition of Heavy Mineral Sands Ores: Application of the New SOLSA Combined XRF-XRD Analytical Soluti... by Maud Herbelin, Sylvain Delchini, Henry Pillière, Luca Lutterotti, Marion Nicco, Moctar Dia, Monique Le Guen, Thomas Riegler

“…Their main drawback is the time and cost associated with sample preparation, acquisition time, and data QA/QC. The combined XRF-XRD of the SOLSA (Sonic On-Line drilling and Sampling Analysis) analytical solution brings a new methodology able to produce quantitative mineralogical and geochemical data at a speed compatible with a production environment. …”
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A Novel Method for Traffic Parameter Extraction and Analysis Based on Vehicle Trajectory Data for Signal Control Optimization by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

“…The method comprises five modules: data preprocessing, basic feature processing, exploratory data analysis, key feature extraction, and data visualization. …”
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Enhancing Surgical Safety and Efficiency: Systematic Review and Single-Arm Meta-Analysis of Surgical Data Recorders by Niels Siegel, André Rotärmel, Georgios Polychronidis, Gabriel Salg, Rosa Klotz, Pascal Probst, Thomas Pausch

“…No systematic review has been carried out to evaluate the areas of application of surgical data recorders to date. ObjectiveThis systematic review and single-arm meta-analysis aims to assess the aspects of the operating theater environment for which surgical data recorders are used and to make a preliminary assessment of the quantifiable data that can be collected, compared to traditional collection methods. …”
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Copula-Based Reliability Analysis of Vehicles Based on Censored Failures Data Using Reliability Importance Measures by Mateusz Oszczypala, Jakub Konwerski, Jaroslaw Ziolkowski, Jerzy Malachowski

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Unveiling insights from unstructured wealth: a comparative analysis of clustering techniques on blockchain cryptocurrency data by Ramzi A. Haraty, Salma Sobeh

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Analysis of Experimental Data from a Concentrating Parabolic Solar Plant and Comparison with Simulation Model Results by Giuseppe Canneto, Irena Balog, Primo Di Ascenzi, Giampaolo Caputo

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Examining power dynamics in global health governance using topic modeling and network analysis of Twitter data by Jennifer J Prah, Gian Franco Bermudez

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Reliability analysis-based life cycle assessment of railway components using long-term maintenance data by Koochul Ji, Ilyoon Choi, Jongmuk Won

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Path Design and Planning and Investment and Construction Mode of Multimodal Transport Network Based on Big Data Analysis by Shuai Wang, Shaochuan Fu

“…Therefore, this paper explores the PDP and ICM of the multimodal transport network based on big data analysis. Firstly, the influencing factors and behavioral features of multimodal transport were deeply examined, drawing on the logit model and the big data on multiple freight services, namely, railway transport, highway transport, waterway transport, and airway transport. …”
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Correlation Analysis of External Environment Risk Factors for High-Speed Railway Derailment Based on Unstructured Data by Haixing Wang, Yuanlanduo Tian, Hong Yin

“…At the same time, the unsafe event data analysis model is constructed in combination with regular expression and pattern matching technology. …”
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Temperature analysis and ampacity evaluation of HV cable joints based on thermal flow coupling and measurable data by Zhanlong Zhang, Hui Zhao, Yu Yang, Xueli Liu, Jiayi Xiao

“…The influences of the AC current, ambient temperature, and thermal conductivity are simulated to prove that the digital model meets the requirements of complex operation conditions. Considering the external ambient temperature and internal thermal conductivity, an evaluation function is determined through regression analysis to rapidly calculate the ampacity. …”
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Analysis of a Data-Driven Vector-Borne Dengue Transmission Model for a Tropical Environment in Bangladesh by Mahadee Al Mobin, Md. Kamrujjaman, Md. Mamun Molla, Shi Chen

“…Finally, we conduct a sensitivity analysis of the model parameters, which shows that improving the recovery rate of the infected patient class and impeding the birth rate of the vector can effectively subdue the disease outbreak.…”
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Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis by AN Jizhen, ZHENG Fuhao, LIU Yifan, CHEN Heng, XU Gang

“…Aiming at the frequent occurrence of induced draft fan faults in thermal power units, a kind of induced draft fan fault warning method based on big data analysis was proposed.Taking the induced draft fan of a 330 MW thermal power unit as the research object, 11 kinds of characteristic information closely related to its working state were extracted. …”
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Technical efficiency of State Universities and Colleges (SUCs) in the Philippines: A Data Envelopment Analysis (DEA) Approach by Maria Christina B. Condez

“…This study utilizes Data Envelopment Analysis (DEA) to evaluate the technical efficiency of 101 State Universities and Colleges (SUCs) in the Philippines. …”
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Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques. by Apichat Suratanee, Panita Chutimanukul, Tanapon Saelao, Supachitra Chadchawan, Teerapong Buaboocha, Kitiporn Plaimas

“…The neural network model demonstrated high performance, achieving an area under the receiver operating characteristic curve of 0.8113, highlighting its effectiveness in predicting phenolic content levels based on the spectral data. …”
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Clustering analysis of vehicle traveling and parking behavior based on license plate recognition data: Suzhou case by Kexin Wang, Xiang Wang, Xiangxi Liu, Yutong Wang

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