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  1. 81

    How to structure data from an IoT monitoring network by Ziwen Yu

    Published 2020-12-01
    “…This publication discusses the typical attributes in IoT monitoring networks and presents a data structure that outlines best practices in organizing data. …”
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    Article
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  4. 84

    SAFlex: A structural alphabet extension to integrate protein structural flexibility and missing data information. by Ikram Allam, Delphine Flatters, Géraldine Caumes, Leslie Regad, Vincent Delos, Gregory Nuel, Anne-Claude Camproux

    Published 2018-01-01
    “…Secondly, our new algorithm deals with the missing data in the protein structure files (concerning more than 75% of the proteins from the Protein Data Bank) in a rigorous probabilistic framework. …”
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    Article
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    Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs by Domenico Paolo, Carlo Greco, Alessio Cortellini, Sara Ramella, Paolo Soda, Alessandro Bria, Rosa Sicilia

    Published 2025-04-01
    “…Specifically, this study addresses Overall Survival (OS) in Non-Small Cell Lung Cancer (NSCLC) using unstructured EHRs data collected from an Italian clinical centre encompassing 838 records from 231 lung cancer patients. …”
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    Article
  8. 88
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    The Use of Column-Based DBMSS to Form Multidimensional Data Structures by Dmitry Kunitsky, Maxim Fomin

    Published 2023-10-01
    “…The key point in the structure of the information system is the way of transition from the “Data vault” model to a multidimensional model of data representation based on associative rules of dependence between information objects.…”
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    Article
  10. 90

    Extracting Information from Unstructured Medical Reports Written in Minority Languages: A Case Study of Finnish by Elisa Myllylä, Pekka Siirtola, Antti Isosalo, Jarmo Reponen, Satu Tamminen, Outi Laatikainen

    Published 2025-07-01
    “…With this approach, unstructured information could be transformed into a structured format. …”
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    Article
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    Covariate-adjusted functional data analysis for structural health monitoring by Philipp Wittenberg, Lizzie Neumann, Alexander Mendler, Jan Gertheiss

    Published 2025-01-01
    “…Structural health monitoring (SHM) is increasingly applied in civil engineering. …”
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  15. 95
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    Connection between nuclear structure, dissipation, and time in fission data by Caamaño M., Ramos D., Fernández D., Mantovani G., Farget F., Rodríguez-Tajes C., Lemasson A., Rejmund M., Schmitt C., Ackermann D., Álvarez-Pol H., Audouin L., Benlliure J., Biswas S., Casarejos E., Clement E., Cortina D., Delaune O., Derkx X., Dijon A., Doré D., Durand D., Frankland J. D., Fernández-Domínguez B., de France G., Fregeau M. O., Galaviz D., Galiana-Baldó E., Heinz A., Henriques A., Jacquot B., Jurado B., Kim Y. H., Morfouace P., Paradela C., Piot J., Ralet D., Roger T., Salsac M. D., Teubig P., Tsekhanovich I.

    Published 2024-01-01
    “…This seemingly mundane property can be used to obtain information about the energy dissipated during the process and the role of structure in its dynamics. In this paper, the study of the even-odd effect for elasticand transfer-induced fission data is discussed. …”
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    DATA PREPARATION METHODS FOR RECOVERING THREE-DIMENSIONAL STRUCTURE OF THE SCENE by Sergey Sergeyevich Taranenko, Oleg Fedorovich Kovalev

    Published 2014-09-01
    “…The problem of data preparation to recover the three-dimensional structure of the scene including points, segments, straight lines, etc., using video obtained from a moving camera around a static scene is considered. …”
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  19. 99

    Crustal structure of the Ulaanbaatar region, Mongolia according to gravimetric data by B. Buyantogtokh, E. Kh. Turutanov, V. S. Kanaikin

    Published 2019-09-01
    “…Based on the medium-scale areal gravimetric survey data, a regional map of Bouguer gravity anomalies was constructed for theUlaanbaatar region, Central Mongolia.Interpreted gravimetric data from the solutions of the inverse problem of gravimetry based on the body-shape selection were used to developthe 3D models showing the largest crustal density inhomogeneities of the study area – the Tolskaya (Ulaanbaatar) basin, Nalaiha depression and Bogdoulin granite massif. …”
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  20. 100

    Data Transfer Schemes in Rotorcraft Fluid-Structure Interaction Predictions by Young H. You, Deokhwan Na, Sung N. Jung

    Published 2018-01-01
    “…For a CFD (computation fluid dynamics)/CSD (computational structural dynamics) coupling, appropriate data exchange strategy is required for the successful operation of the coupling computation, due to fundamental differences between CFD and CSD analyses. …”
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    Article