A new open dataset from a milling process – data for classification and estimation of tool life by Grzegorz Piecuch, Tomasz Żabiński

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ARCHITECTURE OF MODERN SYSTEMS OF MANAGING A SCIENTIFIC EXPERIMENT IN THE FIELD OF BIG DATA PROCESSING by Anastasiia Y. Kaida, Aleksei O. Savelev

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A comparative study of forecasting methods using real-life econometric series data by Cláudia Eliane da Matta, Natália Maria Puggina Bianchesi, Milena Silva de Oliveira, Pedro Paulo Balestrassi, Fabiano Leal

“…Therefore, due to the concerns about the performance of different forecasting methods to solve economic problems, this study contributes with an example of the forecasting performance of artificial neural network models compared with Gaussian process regression using Nelson-Plosser and U.S. macroeconomic real-life data sets. …”
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Life Test System of Train Driver Controller Based on LabVIEW Software by YUAN Bizhen, ZHAO Huailin, WANG Suxiao, ZHU Jianxin, ZHU Jihong

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A dataset of annotated free comments on the sensory perception of madeleines for benchmarking text mining techniquesRecherche.Data.Gouv by Michel Visalli, Ronan Symoneaux, Cécile Mursic, Margaux Touret, Flore Lourtioux, Kipédène Coulibaly, Benjamin Mahieu

“…This dataset was created to investigate the impact of data collection modes and pre-processing techniques on the quality of free comment data related to consumers' sensory perceptions. …”
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MANAGEMENT OF PERSONAL DATA PROCESSING AND PROTECTION by Elena COFAS

“…This article emphasizes the crucial significance of personal data and the potential dangers arising from its unauthorized processing, which can violate an individual's basic rights and freedoms. …”
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Interpretable correlator Transformer for image-like quantum matter data by Abhinav Suresh, Henning Schlömer, Baran Hashemi, Annabelle Bohrdt

“…Due to their inherent capabilities of capturing non-local dependencies, Transformer neural networks have quickly been established as the paradigmatic architecture for large language models and image processing. Next to these traditional applications, machine learning (ML) methods have also been demonstrated to be versatile tools in the analysis of image-like data of quantum phases of matter, e.g. given snapshots of many-body wave functions obtained in ultracold atom experiments. …”
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Implementation of a Community Data Processing System Based on Data Mining by Li Li

“…This research focuses on the implementation of community data processing systems based on data mining. Firstly, data preprocessing analysis is carried out, the realization of data storage and cache is studied, the process and characteristics of cluster analysis are studied in detail, and the simulation results of a community data processing system based on data mining are summarized. …”
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Cradle-to-gate life cycle assessment of hemp utilization for biocomposite pellet production: A case study with data quality assurance process by Niloofar Akbarian-Saravi, Taraneh Sowlati, Abbas S. Milani

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Healthcare trajectories of aging individuals during their last year of life: application of process mining methods to administrative health databases by Delphine Bosson-Rieutort, Alexandra Langford-Avelar, Juliette Duc, Benjamin Dalmas

Subjects: “…Process mining…”
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The Degradation Process Modeling and Shelf Life Prediction of Drug by ZHOU Zhen, LI Han-bin, QI Jia, MA De-zhong

“…To solve the problem of individual difference in the same batch cannot be considered during the traditional degradation process modeling, an effective method is proposed to fuse priori degenerate data with site degraded data which can predict shelf life for the monolithic drug and new drugs Determining the distribution of model parameters based on prior information, fusion of field data to update parameters by Bayes On this basis, predict the shelf life of the monolithic drug The results show that the No5 loaded and bottled drugs’ shelf life predicted values are 4395 and 4747 weeks The relative errors are 0043 and 0051 And the feasibility of fusing degradation data to predict the shelf life of the monolithic drug and new drugs is verified…”
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Decision Making in the Innovation Process: Data-Driven vs. Data-Informed by Muge Abac

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Best practices in the real-world data life cycle. by Joe Zhang, Joshua Symons, Paul Agapow, James T Teo, Claire A Paxton, Jordan Abdi, Heather Mattie, Charlie Davie, Aracelis Z Torres, Amos Folarin, Harpreet Sood, Leo A Celi, John Halamka, Sara Eapen, Sanjay Budhdeo

“…We delineate best practices that will add value to current data pipelines. Seven themes are highlighted that ensure sustainability and scalability for RWD life cycles: data standards adherence, tailored quality assurance, data entry incentivization, deploying natural language processing, data platform solutions, RWD governance, and ensuring equity and representation in data.…”
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Sparse connectivity enables efficient information processing in cortex-like artificial neural networks by Rieke Fruengel, Rieke Fruengel, Marcel Oberlaender, Marcel Oberlaender

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Process mining in mHealth data analysis by Michael Winter, Berthold Langguth, Winfried Schlee, Rüdiger Pryss

“…Abstract This perspective article explores how process mining can extract clinical insights from mobile health data and complement data-driven techniques like machine learning. …”
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The first data on the role of rhyncholites in the process of epibiota by E. S. Gaponenko, M. A. Ulshin, V. N. Komarov

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ALGORITHM OF AIRCRAFT FLIGHT DATA PROCESSING IN REAL-TIME by Elkhan SABZIEV

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EVERYDAY LIFE AND DEMOGRAPHIC PROCESSES IN VIRGIN LANDS OF ORENBURG REGION by O. Kuznetsova

“…Almost all demographic statistics are compared with the average Soviet, which allows one to determine the characteristics of demographic processes in the virgin lands. Thus, the conclusions about the previously unexplored impact of demographic processes on the daily life of the irst ones who worked on virgin land are made. …”
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Sociological Investigating of the Urban Life of Isfahan and its Improvement Process by Seyed Ali Hashemianfar, Ahmad Mehrshad, Nariman Mohammadi, Mohammad Heidary

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Standardized Approach to Life History Data Collection in Poeciliid Fishes by Erik S. Johnson

“…Here, I present a standardized approach to studying life history traits in livebearing fishes. I describe methods for preserving samples in the field, for collecting data on a standard set of life history traits, and for processing data in ways that will allow comparisons among studies. …”
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