An automated data collection process for constructing graph data relying on LLMs by Ngoc Ton Ho, Hoang Son Nguyen, Ngoc Minh Chau Ngueyen, Pham Cuong Nguyen

“…The core of this process lies in its data-handling techniques, which include drawing, cleaning, deduplicating, extracting, and categorizing of raw data to convert unstructured data into a structured format represented and imported in a graph database. …”
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An automated data collection process for constructing graph data relying on LLMs by Ngoc Ton Ho, Hoang Son Nguyen, Ngoc Minh Chau Ngueyen, Pham Cuong Nguyen

“…The core of this process lies in its data-handling techniques, which include drawing, cleaning, deduplicating, extracting, and categorizing of raw data to convert unstructured data into a structured format represented and imported in a graph database. …”
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Architectural Design for Data Security in Cloud-based Big Data Systems by Mujeeb-ur-Rehman Jamali, Najma Imtiaz Ali, Abdul Ghafoor Memon, Mujeeb-u-Rehman Maree, Aadil Jamali

“…Big Data technologies are used to store handles huge amounts of operational data in the public domain. …”
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Decision Making in the Innovation Process: Data-Driven vs. Data-Informed by Muge Abac

“…Ultimately, it stresses the importance of aligning organizational structures to leverage data effectively for innovation. …”
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Platform to Build the Knowledge Base by Combining Sensor Data and Context Data by Sungho Shin, Jungho Um, Dongmin Seo, Sung-Pil Choi, Seungwoo Lee, Hanmin Jung, Mun Yong Yi

“…Sensor data is structured and generally lacks of meaning by itself, but life-logging data (time, location, etc.) out of sensor data can be utilized to create lots of meaningful information combined with social data from social networks like Facebook and Twitter. …”
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Data Augmentation Techniques for fMRI Data: A Technical Survey by Valentina Sanchez, Cicek Guven, Gonzalo Napoles, Marie Safar Postma

“…For each of these representations, we explore specific data augmentation methods. We provide a structured framework for understanding and comparing these principal fMRI data augmentation techniques. …”
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Policy Learning of One Data Indonesia for Supporting Data-Driven Policy by Siska Surya Hasnita, Roy Valiant Salomo

“…An event or phenomenon of implementing the One Data Indonesia policy with policy learning theory as an analytical framework through semi-structured interviews and literature studies. …”
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Spatial parameters for transportation: A multi-modal approach for modelling the urban spatial structure using deep learning and remote sensing by Dorothee Stiller, Michael Wurm, Thomas Stark, Pablo d'Angelo, Karsten Stebner, Stefan Dech, Hannes Taubenböck

Subjects: “…urban spatial structure…”
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Sea-Ice Surface Types Characterization and SAR Volume Backscattering Properties in Response to Sea States Interactions Using Structural Feature Fusion by Iman Heidarpour Shahrezaei, Hyun-Cheol Kim

“…The simulation results show that the entire routine, encompassing RPM modeling, MIZ characterization, structural fusion, and SAR raw data generation, yields promising results in the realm of sea-ice remote sensing. …”
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Regional features of present winter snow accumulation variability in the North Eurasia from data of observations, reanalysis and satellites by V. V. Popova, P. A. Morozova, T. B. Titkova, V. A. Semenov, E. A. Cherenkova, A. V. Shiryaeva, L. M. Kitaev

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Estimation of Atmospheric Boundary Layer Turbulence Parameters over the South China Sea Based on Multi-Source Data by Ying Liu, Tao Luo, Kaixuan Yang, Hanjiu Zhang, Liming Zhu, Shiyong Shao, Shengcheng Cui, Xuebing Li, Ningquan Weng

“…This study develops an optical turbulence model for the boundary layer over the South China Sea (SCS) by integrating multiple observational and reanalysis datasets, including ERA5 data from the European Center for Medium-Range Weather Forecasts (ECMWF), radiosonde observations, coherent Doppler wind lidar (CDWL), and ultrasonic anemometer (CSAT3) measurements. …”
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Modeling Techniques and Boundary Conditions in Abdominal Aortic Aneurysm Analysis: Latest Developments in Simulation and Integration of Machine Learning and Data-Driven Approaches by Burcu Ramazanli, Oyku Yagmur, Efe Cesur Sarioglu, Huseyin Enes Salman

“…However, their reliability depends on high-quality training data derived from CFDs and FEA simulations, where BC modeling plays a crucial role. …”
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Research on the network structure evolution characteristics of outdoor sports tourism flow in the Yangtze River Economic belt based on online travel notes by Nianle Xiao, Binbin Zhao

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Does teaching quality matter for Nordic primary school students’ mathematics confidence and mathematics achievement? A multilevel structural equation analysis of Nordic TIMSS 2019 grade 4 data by Lena Asp, Alli Klapp, Monica Rosén

“…To capture the hierarchical structure of the data, multilevel structural equation modelling (MSEM) is used as it keeps individual and classroom variation separate when investigating relations between teaching quality, mathematics confidence and mathematics achievement. …”
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Cognitive Structure of Randomness by G. I. Berestnev

“…The goal, first outlined in linguistics, the identification of deep cognitive characteristics in the structure of thought about randomness in the Russian and Indo-European linguistic mentality with the involvement of typological data is being realized. …”
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Rock mass integrity evaluation method of roadway surrounding rock mass based on borehole image acoustic radar data by Wang Jinchao, Han Zengqiang, Wang Chao, Zhang Guohua, Li Xiaobin

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OCCUPATIONAL STRUCTURE OF POVERTY by Tünde-Ilona KELE

“…Subsequently, I have brought in the foreground the statistical data regarding the Romanian population in the period between 2018 and 2021, which reflect the extent to which the citizens of our country are exposed and especially the children of the scourge of poverty. …”
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Influence of Potting Radius on the Structural Performance and Failure Mechanism of Inserts in Sandwich Structures by Filippos Filippou, Alexis Τ. Kermanidis

“…The methods of stiffness degradation and acoustic emissions (AE) were employed for structural health monitoring to capture real-time data on failure progression, including core buckling, core rupture, and skin delamination. …”
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Analysis of the Exports Structure from the Russian Federation in the light of the Theory of Technological Structures by A. S. Linnikov

“…The state of the modern Russian economy is considered from the point of view of the technological structures concept. On the basis of this theory, the author presents a structural section of the domestic economy from the point of view of each technological structure, as well as a comparative analysis of data on the Russian economy with the performance of the economies of other countries of different technological development levels. …”
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Technological and structural solution for the strengthening of the load-bearing structure of the crusher facility Drmno by Živanović Miloš, Stojičić Ivan, Miljković Nikola, Stefanović Jelena, Jovanović Nikola, Marković Miloš

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