Data Inconsistency Evaluation for Cyberphysical System by Hao Wang, Jianzhong Li, Hong Gao

“…Cyberphysical systems (CPSs) have been widely applied in a variety of applications to collect data, while data is often dirty in reality. …”
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The Logarithmic Derivative in Scientific Data Analysis by Ruediger Grunwald

“…It can be applied to complex maps of data containing multiple superimposed and alternating ramping or decay functions. …”
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Challenges in Dental Statistics: Data and Modelling by Domenica Matranga, Paolo Castiglia, Giuliana Solinas

“…During the meeting, we dealt with very important topics of statistical methodology for the analysis of dental data, covering the analysis of hierarchically structured and over-dispersed data, the issue of calibration and reproducibility, as well as some problems related to survey methodology, such as the design and construction of unbiased statistical indicators and of well conducted clinical trials. …”
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Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care by Bengie L Ortiz, Vibhuti Gupta, Rajnish Kumar, Aditya Jalin, Xiao Cao, Charles Ziegenbein, Ashutosh Singhal, Muneesh Tewari, Sung Won Choi

“…ObjectiveThis study aims to conduct a scoping review of preprocessing techniques used on raw wearable sensor data in cancer care, specifically focusing on methods implemented to ensure their readiness for artificial intelligence and machine learning (AI/ML) applications. …”
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THE IMPACT OF ECONOMIC COMPANY DATA THEFT by Ramona MARGE, Ştefan IOVAN

“…The paper aims to present some aspects of computer cyber attacks on data, information, applications, and company systems using mobile devices. …”
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DATA CENTER REMODELING FOR THE INTERNET OF THINGS by Cristian IVĂNUŞ

“…It should be stored increasing volumes of data. Applications became increasingly complex. The requirements for running business operations should be very flexible. …”
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An Optimal Linear Transformation for Data Assimilation by Chris Snyder, Gregory J. Hakim

“…Abstract Linear transformations are widely used in data assimilation for covariance modeling, for reducing dimensionality (such as averaging dense observations to form “superobs”), and for managing sampling error in ensemble data assimilation. …”
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Advanced techniques for fusion data visualisation by Nitesh Bhatia, Rui Costa, Samuel Jackson, Nathan Cummings, Stanislas J. P. Pamela, Shaun de Witt, Alejandra N. Gonzalez Beltran, Robert Akers

“…This study explores the adaptation of advanced visualisation techniques to fusion data through three core domains: (1) efficient analysis and instinctive exploration of heterogeneous datasets; (2) construction of visualisation pipelines enabling iterative refinement and retrospective analysis; and (3) deployment of new tools and technologies tailored to fusion-specific applications such as 3D visualisation, real-time dashboards, and immersive environments. …”
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The appification of borders: Data, migration and digitalization by Can E Mutlu, Philippe M Frowd, Benjamin Muller

“…In recent years, states have increasingly made use of apps for customs declarations, visa and residence permit applications, and even claims for asylum. Such technologies are at the core of a tension between facilitation and fast mobility on one side, and the intensive need for data and prediction on the other. …”
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WisdomModel: convert data into wisdom by Israa Mahmood, Hasanen Abdullah

“…Originality/value – This research focuses on defining wisdom in practical applications. Despite of the development in information system, there is still no framework or algorithm that can be used to extract wisdom from data. …”
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Scorecard for synthetic medical data evaluation by Ghada Zamzmi, Adarsh Subbaswamy, Elena Sizikova, Edward Margerrison, Jana G. Delfino, Aldo Badano

“…Although the interest in synthetic medical data (SMD) for developing and testing artificial intelligence (AI) methods is growing, the absence of a comprehensive framework to evaluate the quality and applicability of SMD hinders its wider adoption. …”
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Summary of the 14th IAEA Technical Meeting on Control Systems, Data Acquisition, Data Management and Remote Participation by Joshua Stillerman, Didier Mazon, Matteo Barbarino, Palak Jain, Wanderley Pires de Sa, Bingjia Xiao, Axel Winter, Fernando Santoro, Hideya Nakanishi

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Synthetic data production for biomedical research by Yun Gyeong Lee, Mi-Sook Kwak, Jeong Eun Kim, Min Sun Kim, Dong Un No, Hee Youl Chai

“…Although synthetic data does not consist of actual data points, it is derived from original datasets, thereby enabling analyses that yield results comparable to those obtained with real data. …”
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Big data technologies in e-learning by Gyulara A. Mamedova, Lala A. Zeynalova, Rena T. Melikova

“…To classify electronic educational resources, identify patterns of students with similar psychological, behavioral and intellectual characteristics, developing individualized educational programs, it is proposed to use methods of analysis of Big Data.The article shows that at present many software applications have been developed for the intellectual analysis of Big Data. …”
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Modular horizontal pendulum wave energy converter: Exploring feasibility to power ocean observation applications in the U.S. Pacific Northwest by Chris Dizon, Robert J. Cavagnaro, Bryson Robertson, Ted K. Brekken

“…More importantly, gaps in spatial data could be filled. This paper examines the feasibility of a modular horizontal pendulum wave energy converter to power National Data Buoy Center's Self‐Contained Ocean Observations Payload (SCOOP) off the coast of Washington State, U.S. …”
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Automation of Tabular Application Formation by S. V. Zykin

“…On the basis of lossless join property and realized dependencies, the concept and a way of context formation of the application and restrictions is introduced. The considered material is further used for constructing an inverse data transformation from tabular presentation into a relational one. …”
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Recent progress on machine learning with limited materials data: Using tools from data science and domain knowledge by Bangtan Zong, Jinshan Li, Tinghuan Yuan, Jun Wang, Ruihao Yuan

“…We review the recent progress on the use of tools from data science and domain knowledge to mitigate the issues arising from limited materials data. …”
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On Fostering Predictions in Data-Driven Reduced Order Model for Eulerian–Lagrangian Simulations: Decision of Sufficient Training Data by Kai-en Yang, Shuo Li, Guangtao Duan, Mikio Sakai

“…The accuracy of SM can be easily deteriorated due to insufficient training data. This necessitates a trial-and-error process and hinders its industrial applications. …”
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Class VI Database project: Drill-stem test data from Sweetwater County, Wyoming, USAMendeley Data by Abdeldjalil Latrach, Lily J. Jackson, Christian Martinez

“…Other key information includes well API numbers, locations, tested formations, depth intervals, and detailed test results including flow and shut-in periods with corresponding time and pressure data. This dataset was primarily collected to help with the Class VI filing process for new carbon storage wells but has significant reuse potential for applications such as developing regional pressure profiles, validating reservoir simulation models, and analyzing legacy well performance. …”
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386 Developing an assessment tool for NIH data management and sharing plans to understand current data practices and needs by Michelle Yee, Alisa Surkis, Fred LaPolla

“…Objectives/Goals: NIH requires researchers submit Data Management and Sharing (DMS) Plans with their grant applications. …”
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