A Cloud Vertical Structure Optimization Algorithm Combining FY-4A and DSCOVR Satellite Data by Zhuowen Zheng, Jie Yang, Taotao Lv, Yulu Yi, Zhiyong Lin, Jiaxin Dong, Siwei Li

“…Clouds are important for Earth’s energy budget and water cycles, and precisely characterizing their vertical structure is essential for understanding their impact. …”
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Data-driven structural damage monitoring and assessment based on unmanned aerial vehicle images: a survey by Zhuoyue Yang, Yuxin Xu, Hao Song, Kang Yu

“…This study provides a systematic review of UAV-based structural monitoring and assessment methodologies, categorizing existing techniques based on their data type and applications. …”
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Automated Generation of Geometric FE Models for Timber Structures Using 3D Point Cloud Data by Lin Chen, Liufang Jiang, Haibei Xiong

“…Manual geometric modeling of timber structures is time-intensive and error-prone, impeding efficient structural analysis. …”
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Conserved genome structure and phylogenetic insights for the heterogeneous subfamily of Convallarioideae (Asparagaceae) revealed from plastome data by Shao-De Wu, Ran Meng, Ze-Long Nie, Ming-Yang Song, Xing-Ru Chen, Jun Wen, Ying Meng

“…Despite its importance, chloroplast genome data for Convallarioideae remain limited, hindering a comprehensive understanding of their genome structural evolution and phylogenetic relationships. …”
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Composite likelihood inference for analysis of individual animal identification data by Xueli Xu, Xiaoyue Zhang, Hal Whitehead, Dehan Kong, Ximing Xu

Subjects: “…Individual identification data…”
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Quantitative analysis of EXAFS data sets using deep reinforcement learning by Eun-Suk Jeong, In-Hui Hwang, Sang-Wook Han

“…The deep RL method effectively determined the local structural properties of PtOx and Zn-O complexes by fitting a series of EXAFS data sets to theoretical EXAFS calculations without imposing specific constraints. …”
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Nonparametric Expectile Shortfall Regression for Complex Functional Structure by Mohammed B. Alamari, Fatimah A. Almulhim, Zoulikha Kaid, Ali Laksaci

“…The easy implantation of the new risk metric is shown through real and simulated data. Specifically, we show the feasibility of the new model as a risk tool by examining its sensitivity to the fluctuation in financial time-series data. …”
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Preliminary data on terrestrial isopods from some railways in Dobruja, eastern Romania by Daniel-Răzvan POP, Alexandra-Roxana-Maria MAIER, Achim-Mircea CADAR, Sára FERENȚI

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Inventory of Shallow-Water Fouling Invertebrates of Long Island, New York by Ezra Roesch, Jack H. Rosencrans, Kent A. Hatch, Robert W. Thacker

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Examining The Role of Urban Form In Shaping People's Accessibility to Opportunities: An Exploratory Spatial Data Analysis by Darren Scott, Mark Horner

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Unlocking the Potential of Browser- Based Scientific Data Analysis: A 20-Year Journey of Expertise by Luc Patiny

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From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision supportResearch in context by Sijm H. Noteboom, Eline Kho, Maria Galanty, Clara I. Sánchez, Frans C.P. ten Bookum, Denise P. Veelo, Alexander P.J. Vlaar, Björn J.P. van der Ster

“…The intensive care unit (ICU), a data-rich setting, faces challenges with high-frequency, unstructured monitor data. …”
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Design and Numerical Simulation of an Air Handling Unit Heat Exchanger for Data Center Cooling by Liu Bing, Geng Shijiang, Wang Zixing, Tao Wenquan

Subjects: “…data center…”
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Anomaly detection of large scale network based on data streams by ZHENG Jun, HU Ming-zeng, YUN Xiao-chun, ZHENG Zhong

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Anomaly detection of large scale network based on data streams by ZHENG Jun, HU Ming-zeng, YUN Xiao-chun, ZHENG Zhong

Subjects: “…anomaly detection;data streams;large scale network;bursty frequent event;sketch data structure…”
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AN EMPIRICAL ANALYSIS OF DETERMINANT FACTORS OF THE COMPANY’S CAPITAL STRUCTURE by I. A. Kirshin

Subjects: “…company’s capital structure…”
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Data-Driven Driving State Control for Unmanned Agricultural Logistics Vehicle by Xuesheng Zhou, Jun Zhou

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Étudier des structures de discours : préoccupations pratiques et méthodologiques by Marie-Paule Jacques, Thierry Poibeau

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Bayesian Network in Structural Health Monitoring: Theoretical Background and Applications Review by Qi-Ang Wang, Ao-Wen Lu, Yi-Qing Ni, Jun-Fang Wang, Zhan-Guo Ma

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Big data predictions of Seasonal Fluctuations in Marine Traffic (using AIS data) by monitoring idle ships by Liliya Mileva

“…The methods used are SQL queries and Excel functions for data extraction and calculations for data to receive results about seasonality and structural change indexes in five years (2019-2023). …”
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