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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The ethics of data interoperability: Mapping problems and strategies in biomedical data and beyond by Asher Brandon Caplan, Colin Koopman

“…Pragmatist responses to both individual and structural harms of interoperability are presented through three companion strategies: shared standards, manual data curation, and meticulous data documentation.…”
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Wearable MEG data recorded during human steppingMendeley Data by Meaghan E. Spedden, George C. O’Neill, Timothy O. West, Tim M. Tierney, Stephanie Mellor, Nicholas A. Alexander, Robert Seymour, Jesper Lundbye-Jensen, Jens Bo Nielsen, Simon F. Farmer, Sven Bestmann, Gareth R. Barnes

“…The dataset also includes a structural MRI for each participant and foot kinematics. …”
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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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Validation of dementia-free status in the iranian brain imaging database using ADNI data: a transition point from middle age to older adulthood by Sadegh Ghaderi, Sana Mohammadi, Farzad Fatehi, Minoo Sisakhti, Seyed Amir Hossein Batouli, for the Alzheimer’s Disease Neuroimaging Initiative

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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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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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Numerical Simulation of Earthquake Impacts on Marine Structures: A Comprehensive Review by Adel Kabi, Jersson X. Leon-Medina, Francesc Pozo

“…This review examines advanced numerical modeling approaches, including CFD, FEM, DEM, FVM, and BEM, to assess the impacts of earthquakes on these structures. These methods provide cost-effective and reliable simulations, demonstrating strong alignment with experimental and theoretical data. …”
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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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Deep Learning Autoencoders for Fast Fourier Transform-Based Clustering and Temporal Damage Evolution in Acoustic Emission Data from Composite Materials by Serafeim Moustakidis, Konstantinos Stergiou, Matthew Gee, Sanaz Roshanmanesh, Farzad Hayati, Patrik Karlsson, Mayorkinos Papaelias

“…Structural health monitoring (SHM) in fiber-reinforced polymer (FRP) composites is essential to ensure safety and reliability during service, particularly in critical industries such as aerospace and wind energy. …”
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Advanced predictive modeling of shear strength in stainless-steel column web panels using explainable AI insights by Sina Sarfarazi, Rabee Shamass, Federico Guarracino, Ida Mascolo, Mariano Modano

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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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Structural applications of CODE_BRIGHT: a review on numerical modelling of reinforced soil structures by Aníbal Moncada, Aníbal Moncada, Ivan P. Damians, Ivan P. Damians, Ivan P. Damians

“…A common application of RSS is in retaining structures, in the form of reinforced soil walls (RSWs). …”
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About the search of partners for strategic alliance by N. V. Vysotskaya, A. O. Kolodko

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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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