Search Results - data processing methods

Lumen Degradation Lifetime Prediction for High-Power White LEDs Based on the Gamma Process Model by Mesfin Seid Ibrahim, Jiajie Fan, Winco K.C. Yung, Zeyu Wu, Bo Sun

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Implementation of the principle of transparency (openness) of budget data at the municipal level (on the example of the Republic of Karelia) by T. A. Bokova, T. G. Kadnikova, N. D. Romanova

“…Methods such as monitoring and assessing the level of openness of budget data of municipalities and such a tool «as a citizens budget» are considered. …”
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Extracting the Epoch of Reionization Signal with 3D U-Net Neural Networks Using a Data-driven Systematic Effect Model by Li-Yang Gao, Léon V. E. Koopmans, Florent G. Mertens, Satyapan Munshi, Yichao Li, Stefanie A. Brackenhoff, Emilio Ceccotti, J. Kariuki Chege, Anshuman Acharya, Raghunath Ghara, Sambit K. Giri, Ilian T. Iliev, Garrelt Mellema, Xin Zhang

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Artificial Intelligence in Architectural Education: New Learning and Design Approaches by Fatmanur Atalay

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An approach for classifying sociotechnical attacks by Oleksandr Korchenko, Anna Korchenko, Serhii Zybin, Kyrylo Davydenko

“…Social networks and artificial intelligence contribute to the improvement of sociotechnical methods. Analyzing the data of leading studies, certain methods are identified that social engineers use most often, but these publications do not form a set of signs that characterize the approaches to implementation of the corresponding attacks, which will make it possible to formalize the process of their classification from a systemic standpoint. …”
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Multi group merging algorithm for solving data Shuffle and data skew of securities companies by CAO Yakun, TANG Xiaoyong

“…In the securities industry, the processing and analysis of user data are critical technologies that significantly impact business decision-making and risk control. …”
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Simulating Сarbon Dioxide Emissions when Cultivating Soil by Nozim I. Jabborov, Aleksandr V. Dobrinov, Aleksei P. Mishanov, Anatoliy P. Savelyev

“…The study is aimed at developing a mathematical model for determining and forecasting carbon dioxide emissions from soil cultivated with different methods. Materials and Methods. In the study, there were used the methods of mathematical simulation of the carbon dioxide emission process taking into account the data on gas emission assessing through using the chamber and the sensor CDD 24 HTL. …”
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Revisiting Grounded Therapy by Annika Barzen

“…The approach involves collecting data such as conversation transcripts and journal entries, which are then collaboratively coded with the client in the therapeutic context. …”
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Enhancing Clinical Data Infrastructure for AI Research: Comparative Evaluation of Data Management Architectures by Richard Gebler, Ines Reinecke, Martin Sedlmayr, Miriam Goldammer

“…MethodsWe developed a comprehensive analysis framework that integrates aspects of data governance with technical performance criteria. …”
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To the methodology of socio-geographical research of the internal displacement of the population by Maryna Lohvynova

“…In this article, the author analyzes the approaches and methods of studying migration processes, in particular, forced internal displacement of the population. …”
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Experience in applying large language models to analyse sociological data obtained as a result of interviews on students’ perception of entrepreneurial activity by E. G. Ashikhmin, V. V. Levchenko, G. I. Seletkova

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Data augmentation of time-series data in human movement biomechanics: A scoping review. by Christina Halmich, Lucas Höschler, Christoph Schranz, Christian Borgelt

“…There is no universal best practice for augmenting biomechanical time-series data; instead, methods vary based on study aims. …”
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Implementation of Several Data Mining Strategies on Electronic Nose Data for Identifying Gluten in Cheese by Mohammad Nasiri-Galeh, Mahdi Ghasemi-Varnamkhasti

“…To get a better result from the data, a data mining process was performed on 105 different permutations of the models, and 13 models with the highest accuracy in understanding the relationships between the data were chosen. …”
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Expert Experiences in Anonymizing Personal Data and Its Use as Open Data: Qualitative Insights by Norbert Lichtenauer, Johann Guggumos, Matthias Kampmann, Juliane Kis, Florian Laumer, Elena März, Florian Wahl, Sebastian Wilhelm

“…<i><b>Methods</b></i>: As part of the EAsyAnon research project, preliminary insights were gathered through a scoping review that identified factors promoting or impeding the anonymization and use of personal data. …”
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Cluster analysis of cardiac data by E. Y. Zimina

“…The article includes the observation of the cluster analysis of medicaldata on the example of the cardiac data. One of the main effective and commonly used Data Mining methods that applied to  the large amounts of information (for example, mathematical  economics) are clustering methods: the search for signs of similarity  between objects in the study of the subject area and the subsequent merger of objects into subsets (clusters) according to the established affinity. …”
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The spatial glaciological data infrastructure by T. Y. Khromova, A. A. Medvedev

“…Substantial and rapid environmental changes require developing methods which could be able to manage huge information flows, to optimize processes of the data acquisition, storage, analysis, and exchange. …”
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Quantitative Assessment Method for Industrial Demand Response Potential Integrating STL Decomposition and Load Step Characteristics by Zhuo-Wei Yang, Kai Chang, Ming-Di Shao, Hao Lei, Zhi-Wei Liu

“…This study proposes an integrated quantitative assessment framework combining Seasonal-Trend decomposition using Loess (STL), load-step feature extraction, and Gaussian Process Regression (GPR). Historical industrial load data are first decomposed using STL to isolate trend and periodic patterns, while mathematically defined load-step indicators quantify intrinsic adjustability. …”
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Application of the program for artificial intelligence analytics of paper text and segmentation by specified parameters in clinical practice by A. A. Komkov, V. P. Mazaev, S. V. Ryazanova, A. A. Kobak, E. V. Bazaeva, D. N. Samochatov, E. V. Koshkina, Е. V. Bushueva, O. M. Drapkina

“…To evaluate the effectiveness of the RuPatient electronic heart record (EHR) system in real clinical practice for extracting and structuring medical data.Material and methods. Extraction and recognition of data using EHR from various following sources: outpatient records, statements, routine medical reports, epicrisis and other structured and unstructured medical information based on the developed technology of intelligent text analytics, optical character recognition, for specified words and phrases, and the use of machine learning elements. …”
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Theoretical approaches to detecting anomalies in meter readings in scientific literature by D.V. Furikhata, T.A. Vakalyuk

“…Classification methods of supervised learning are analysed, which require pre-labelled data for model training but provide high accuracy in detecting known types of anomalies. …”
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Few-Shot Named Entity Recognition Based on the Collaborative Graph Attention Network by Haoran Niu, Zhaoman Zhong

“…Few-shot Named Entity Recognition (NER) aims to extract entity information from limited annotated samples, addressing the scarcity of data in specialized domains. However, existing few-shot NER methods relying on data augmentation struggle to adequately augment semantic features, limiting their learning and representation capabilities. …”
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