Search Results - data processing methods

A natural language processing approach to support biomedical data harmonization: Leveraging large language models. by Zexu Li, Suraj P Prabhu, Zachary T Popp, Shubhi S Jain, Vijetha Balakundi, Ting Fang Alvin Ang, Rhoda Au, Jinying Chen

“…<h4>Background</h4>Biomedical research requires large, diverse samples to produce unbiased results. Retrospective data harmonization is often used to integrate existing datasets to create these samples, but the process is labor-intensive. …”
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Data processing of measuring intensity of optical field fringe patterns generated by laser interference measuring means by Igor P. Miroshnichenko

“…The solution is based on the two-way laser interferometer with combined branches that allows increasing the measurement results quality. Materials and Methods. To achieve this purpose, modern software is applied, and the data obtained with new measuring instruments based on new optical interference methods is used. …”
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Secured cloud-based image data processing of self-driving vehicles using full homomorphic encryption by Kamran Saeed, M.Fatih Adak

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Breast Cancer Classification with Various Optimized Deep Learning Methods by Mustafa Güler, Gamze Sart, Ömer Algorabi, Ayse Nur Adıguzel Tuylu, Yusuf Sait Türkan

“…Breast cancer prediction is defined as a medical data analysis and image processing problem. Experts may need artificial intelligence technologies to distinguish between benign and malignant tumors in order to make decisions. …”
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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…However, automatization using machine learning for big Earth data processing provides the speed and accurate processing of multisource massive datasets. …”
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The use of neural networks in the foresight process by A. O. Alekseev, V. Yu. Linnik, V. V. Chushkina

“…It is revealed that neural networks can process a larger amount of data and automatically detect complex patterns, which makes them more effective under conditions of environmental uncertainty and variability. …”
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Digital Transformation of Business Analytical Processes by O. E. Mikhnenko

“…The digital economy creates information opportunities in this area, as it provides the access to Big Data and their processing using Big data analytics technologies. …”
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Scenario modeling of the drug prescription process for children: application of machine learning methods by А. А. Kondrashov, М. М. Kurashov, Е. Е. Loskutova

“…Preliminary data processing enabled to extract additional features and define the process as a multi-label classification task. …”
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Content of health related shaping training methodic for girls in the process of physical education by A.A. Skidan, S.V. Sevdalev, E.P. Vrublewskiy

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Antioxidant defense system: regulation of metabolic processes, genetic determinants, methods of determination by O. A. Nikitina, M. A. Darenskaya, N. V. Semenova, L. I. Kolesnikova

“…The article presents a review and analysis of data from modern scientific literature on the role of antioxidant defense components in the regulation of metabolic processes, their genetic determinant, and summarizes data on modern methods for the determination of some antioxidants. …”
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Analytical method for analyzing message transmission processes in FDDI networks for digital substations by A. S. Leontyev, D. V. Zhmatov

“…To develop analytical approaches for the evaluation of probability-time characteristics and fiber distributed data interface (FDDI) network performance with the marker access method, thus enabling communication processes for digital electrical substations to be automated.Methods. …”
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The problem of creating and developing an integrated approach to standardization process of automated testing of turboexpanders by V. M. Mamedov, I. A. Arkharov

“…The purpose of the study is to discuss the issue of creating and developing an integrated methodological approach to testing and standardizing the process of testing turboexpanders based on automation equipment, taking into account the existing and potential demand for domestic turbine units by 2035 under the conditions of sanction pressure.Method. …”
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Re‐evaluation of certain aspects of the EFSA Scientific Opinion of April 2010 on risk assessment of parasites in fishery products, based on new scientific data. Part 1: ToRs1–3 by EFSA Panel on Biological Hazards (BIOHAZ), Konstantinos Koutsoumanis, Ana Allende, Avelino Alvarez‐Ordóñez, Sara Bover‐Cid, Marianne Chemaly, Alessandra De Cesare, Lieve Herman, Friederike Hilbert, Roland Lindqvist, Maarten Nauta, Romolo Nonno, Luisa Peixe, Giuseppe Ru, Marion Simmons, Panagiotis Skandamis, Elisabetta Suffredini, Kurt Buchmann, Mercedes Careche, Arne Levsen, Simonetta Mattiucci, Ivona Mladineo, Maria João Santos, Rubén Barcia‐Cruz, Alesandro Broglia, Kateryna Chuzhakina, Sonagnon Martin Goudjihounde, Beatriz Guerra, Winy Messens, Irene Muñoz Guajardo, Declan Bolton

“…Freezing and heating continue to be the most efficient methods to kill parasites in fishery products. High‐pressure processing may be suitable for some specific products. …”
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An evaluation of urbanisation processes in suburban zones using land-cover data and fuzzy set theory by Cieślak Iwona, Górecka Kamila

“…The study explored the applicability of GIS as a data source and a tool for evaluating urbanisation processes in studies that rely on modern methods such as fuzzy set theory. …”
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Comparative evaluation and comparability of satellite and airborne data on the ice content of the Sea of Okhotsk by V. A. Romanyuk, G. G. Zhuravlev

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Generalized PCA Method and Its Application in Uncertainty Reasoning by Bin Wu, Xiao Yi, Dong Ning Zhao

“…Principal Component Analysis (PCA) is an important mathematical dimension reduction method. In the process of uncertain reasoning, as the elements in the recognition framework increase, the evidence dimension increases exponentially, and the calculation amount also increases exponentially, which greatly affects the application of uncertainty theory in practical engineering. …”
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Natural Language Processing For Requirement Elicitation In University Using Kmeans And Meanshift Algorithm by Devi Yurisca Bernanda, Dayang N.A. Jawawi, Shahliza Abd Halim, Fransiskus Adikara

“…The problem in this study was the method in data discrepancies which resulted in the needs elicitation process being hampered and in the end software development found discrepancies and could not meet the needs of stakeholders and the goals of the organization. …”
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From anarchy to clarity, data pre‐processing and statistical choices influence quantitative environmental DNA (eDNA) analyses by Jonas Bylemans, Teun Everts, Rein Brys, Richard P. Duncan

“…Overall, we recommend the following: (i) increase transparency in method descriptions and data availability; (ii) assess correlations using mixed‐effect models that can account for data characteristics; (iii) avoid pre‐processing quantitative eDNA data, especially when combined with sub‐optimal statistical tests. …”
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