Search Results - data processing methods

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    Investigation of the influence of the method of grape pomace processing before extraction on the organoleptic and physicochemical parameters of the extract by Yu. N. Chernyavskaya, A. A. Tyaguscheva, T. V. Pershakova

    Published 2025-07-01
    “…It is a source of many biologically active substances with beneficial properties.The goal of the research was to study the dependence of organoleptic and physicochemical parameters of extracts from grape pomace of the Cabernet, Saperavi, Pervenets Magarach and Citronny Magarach varieties on the processing method (drying and freezing) of the pomace before extraction.The research methods included biochemical ones (acidity, content of polyphenolic substances, vitamin C, total and reducing sugars), commodity science methods (appearance, aroma, taste, color), mathematical analysis.The research results. …”
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    Assessment of the elastic properties of the ascending aorta using electrocardiographic synchronized computed tomography angiography with advanced data processing by A. Yu. Skripnik, V. A. Fokin, R. R. Mironchuk, V. E. Uspenskiy, O. B. Irtyuga, E. A. Kushnareva, S. D. Rud, A. S. Lepekhina, O. M. Moiseeva, G. E. Trufanov

    Published 2019-12-01
    “…To modernize the computed tomography angiography (CTA) protocol with advanced data processing for the diagnosis of ascending aortic (AA) aneurysms, determining the aortic distensibility and compliance. …”
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    Optimization of Short-Lag Spatial Coherence Imaging Method by Jakub DOMARADZKI, Marcin LEWANDOWSKI, Norbert ŻOŁEK, Marcin LEWANDOWSKI

    Published 2019-07-01
    “…The computing performance optimization of the Short-Lag Spatial Coherence (SLSC) method applied to ultrasound data processing is presented. …”
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    NEW ORGANIZATION PROCESS OF FEATURE SELECTION BY FILTER WITH CORRELATION-BASED FEATURES SELECTION METHOD by Olga Solovei

    Published 2022-09-01
    “…To implement the specified tasks, the following methods were used: information theory, process theory, algorithm theory, statistics theory, sampling techniques, data modeling theory, science experiments. …”
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    A Comparative Analysis of Manual and Computer Constant Comparison Methods: Using Data from a Constructivist Inquiry of Experiences Working with Ethnic Agencies by Suzie Weng

    Published 2013-03-01
    “… A dilemma one may face in analyzing qualitative data is whether to use a manual approach with index cards or a computer data management tool like ATLAS.ti.  This paper compares the two approaches in organizing and analyzing data using the same data set.  The data were collected and first analyzed in a constructivist inquiry course according to the methods laid out by Rodwell (1998).  This process involved unitizing data onto index cards and these cards were then sorted into categories during the constant comparison process.  Later, the same data were linked to ATLAS.ti where they were unitized and categorized simultaneously.  Constant comparison took place when all the data were coded.  A comparison of the two methods allowed the author to determine the strengths and limitations for the various stages of constant comparison. …”
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    Application of modifications of the matrix method for simulation of wave processes in a layered half-space by D. V. Malitsky, O. I. Khitryak

    Published 2012-02-01
    “…Each of the proposed modifications is the most effective for certain restrictions on the input data of the problem. Depending on the environment model it is suggested applying one or another method of modeling. …”
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    Development of an Intelligent System for Processing Semistructured Data: Industry Structuring and Advanced Analysis of Information Extracted from Comments to Video Clips in Social... by A. A. Poguda, H. Tape

    Published 2025-05-01
    “…Methods. Developing an intelligent system for analyzing semistructured data requires innovative methods and approaches that combine natural language processing (NLP), machine learning algorithms and big data analytics techniques. …”
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    Digital Analysis Methods in Business-Processes and Projects in Digital Twins at Investment-Construction Companies by A. I. Sukhorukov, E. A. Zakharova, E. V. Shvetsov

    Published 2024-11-01
    “…They are as follows: positive overseas experience in projecting and controlling processes; adjustment of this experience to specific features of project and business-process organization in Russia; use of digital imitation models of investment-construction enterprise in conditions of real time; introduction of digital methods of strategic and operative business-analysis of projects and business-processes into imitation model and digital twins at investment-construction enterprises; use of promising digital technologies in digital methods of business-analysis in projects and business-processes, for instance, analysis of big data, artificial neuron nets, cloud technologies, internet of things, virtual reality, augmented reality, technologies of register distribution, automation and robotics of business-processes, etc. …”
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    Hybrid neural networks for improved chemical process modeling: Bridging data-driven insights with physical consistency by Jana Mousa, Stéphane Negny, Rachid Ouaret

    Published 2025-09-01
    “…Addressing this limitation, hybrid methods that integrate data-driven insights with physical consistency have gained prominence. …”
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    GENERALIZED MODEL OF THE ADS-B UNMANNED AERIAL VEHICLE DATA TRANSMISSION PROCESS IN A STEGANOGRAPHIC SYSTEM by Serhii Semenov, Minjian Zhang, Serhii Yenhalychev, Leonid Smidovych

    Published 2022-12-01
    “… The subject of the article is a model of the ADS-B data transmission process of an unmanned aerial vehicle in a steganographic system using direct spectrum expansion technology. …”
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    DFPS: An Efficient Downsampling Algorithm Designed for the Global Feature Preservation of Large-Scale Point Cloud Data by Jiahui Dong, Maoyi Tian, Jiayong Yu, Guoyu Li, Yunfei Wang, Yuxin Su

    Published 2025-07-01
    “…DFPS is designed with a multithreaded parallel acceleration architecture, which significantly enhances processing speed. Experimental results demonstrate that, for a point cloud dataset containing millions of points, DFPS reduces processing time from approximately 161,665 s using the original FPS method to approximately 71.64 s at a 12.5% sampling rate, achieving an efficiency improvement of over 2200 times. …”
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