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  1. 1641

    Detection to false data for smart grid by Jian Zheng, Shumiao Ren, Jingyue Zhang, Yu Kui, Jingyi Li, Qin Jiang, Shiyan Wang

    Published 2025-02-01
    “…This evaluation manner of data consistency and that of boundary learning are equally applicable to the identification and separation of those false data injected into other real-time systems.…”
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    Article
  2. 1642

    The Property Graph Data Format (PGDF) by Renzo Angles, Sebastian Ferrada, Ignacio Burgos

    Published 2024-01-01
    “…Property graphs are popular in both industry and academia due to their versatility in modeling complex data across diverse application domains, ranging from social networks to knowledge graphs. …”
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  3. 1643

    Automatic Filtering of Sugarcane Yield Data by Eudocio Rafael Otavio da Silva, José Paulo Molin, Marcelo Chan Fu Wei, Ricardo Canal Filho

    Published 2024-12-01
    “…Therefore, the proposed method retained data that reflect sugarcane yield variability at the row level and it can be used in practical application scenarios to deal with large datasets obtained from sugarcane harvesters.…”
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  4. 1644

    ODM Data Analysis-A tool for the automatic validation, monitoring and generation of generic descriptive statistics of patient data. by Tobias Johannes Brix, Philipp Bruland, Saad Sarfraz, Jan Ernsting, Philipp Neuhaus, Michael Storck, Justin Doods, Sonja Ständer, Martin Dugas

    Published 2018-01-01
    “…Objective of this work is to design, implement and evaluate an open source application, called ODM Data Analysis, for the semi-automatic analysis of clinical study data.…”
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    Article
  5. 1645

    Open Data-Driven 3D Building Models for Micro-Population Mapping in a Data-Limited Setting by Kittisak Maneepong, Ryota Yamanotera, Yuki Akiyama, Hiroyuki Miyazaki, Satoshi Miyazawa, Chiaki Mizutani Akiyama

    Published 2024-10-01
    “…This research contributes to bridging the gap between data needs and availability in resource-constrained urban environments, offering a scalable solution for global application in urban planning and population mapping.…”
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    Article
  6. 1646

    Aerosol data assimilation using data from Himawari‐8, a next‐generation geostationary meteorological satellite by K. Yumimoto, T.M. Nagao, M. Kikuchi, T.T Sekiyama, H. Murakami, T.Y. Tanaka, A. Ogi, H. Irie, P. Khatri, H. Okumura, K. Arai, I. Morino, O. Uchino, T. Maki

    Published 2016-06-01
    “…Here we show the first application of aerosol optical properties (AOPs) derived from Himawari‐8 data to aerosol data assimilation. …”
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  7. 1647

    The Data Big Bang and the Expanding Digital Universe: High-Dimensional, Complex and Massive Data Sets in an Inflationary Epoch by Meyer Z. Pesenson, Isaac Z. Pesenson, Bruce McCollum

    Published 2010-01-01
    “…Mathematical limitations of familiar algorithms and techniques in dealing with such data sets create a critical need for new paradigms for the representation, analysis and scientific visualization (as opposed to illustrative visualization) of heterogeneous, multiresolution data across application domains. …”
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  8. 1648

    Efficient Searches for Small Signals across Two-channel Noisy Data: A Challenge in Big-data Observations by Maryam Aghaei Abchouyeh, Maurice H. P. M. van Putten, Seyong Kim

    Published 2025-01-01
    “…Here, we study this approach using a novel excess probability ratio (EPR), correlating Boolean data resulting from tails beyond a cutoff κσ . We compare and rank EPR performance against conventional direct cross correlation and the Pearson coefficient (PC), applicable to the original data with no cutoff. …”
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  9. 1649
  10. 1650

    Telescope indexing for k-nearest neighbor search algorithms over high dimensional data & large data sets by Madhavan K R, Hasan Kurban, Oguzhan M. Kulekci, Mehmet M. Dalkilic

    Published 2025-07-01
    “…Further, we establish that the limited search space chosen by the B+ tree structure can be effectively explored by any indexing techniques applicable to the entire data. We then present our algorithm $$k$$ -NN with partitioning (ti $$k$$ -NN), including computational analysis and experiments. …”
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  11. 1651

    Optimizing Unmanned Aerial Vehicle LiDAR Data Collection in Cotton Through Flight Settings and Data Processing by Anish Bhattarai, Gonzalo J. Scarpin, Amrinder Jakhar, Wesley Porter, Lavesta C. Hand, John L. Snider, Leonardo M. Bastos

    Published 2025-04-01
    “…Accurate canopy height estimation is crucial in cotton for optimizing growth regulator application and maximizing yield. The main goal of this study was to determine the optimal unmanned aerial vehicle flight settings—altitude and speed—and assess specific processing parameters’ impact on data accuracy, processing time, and file size. …”
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  12. 1652

    Is it time to stop sweeping data cleaning under the carpet? A novel algorithm for outlier management in growth data. by Charlotte S C Woolley, Ian G Handel, B Mark Bronsvoort, Jeffrey J Schoenebeck, Dylan N Clements

    Published 2020-01-01
    “…This algorithm is broadly applicable to data cleaning anthropometric data in different mammalian species and could be adapted for use in a range of other domains.…”
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  13. 1653

    Messy Data in Education: Enhancing Data Science Literacy Through Real-World Datasets in a Master’s Program by Iraklis Varlamis

    Published 2025-04-01
    “…By engaging with real-world datasets, students develop resilience, adaptability, and problem-solving abilities, which are essential for navigating the complexities of data science in professional settings. This paper highlights the educational benefits of using messy data to bridge the gap between theoretical knowledge and real-world application while also demonstrating how this method explicitly improves students’ problem-solving and critical thinking skills in the context of data science.…”
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  14. 1654

    Benchmarking Differential Abundance Tests for 16S microbiome sequencing data using simulated data based on experimental templates. by Eva Kohnert, Clemens Kreutz

    Published 2025-01-01
    “…Differential abundance (DA) analysis of metagenomic microbiome data is essential for understanding microbial community dynamics across various environments and hosts. …”
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  15. 1655

    Perlindungan Hukum Terhadap Pengguna Aplikasi E-Wallet Dana by Hartanto Hartanto, Vincent Rosadi, Ervin Alvaro Yosmar

    Published 2023-12-01
    “…Purposes of the Research: To determine legal protection for consumers for users of the DANA E-Wallet application Methods of the Research: This research is normative legal research, to find legal norms related to consumer protection for the use of the DANA E-Wallet, while the data source used is secondary data. …”
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  16. 1656
  17. 1657
  18. 1658

    PENGEMBANGAN APLIKASI MATAKU DUA “MEMAHAMI SURAT AT-TAKATSUR BERSAMA DUBI & AMI” UNTUK PEMBELAJARAN PAI by Risma Rosma yanti, Siti Nurkhaliza Oktaviani, Aura Cintyaloka, Ani Nur Aeni

    Published 2024-12-01
    “…The results of this data can be concluded that the majority of students can understand the material regarding the meaning of the at-takatsur letter through the MATAKU DUA android application "Understanding the Meaning of the At-Takatsur Letter with Dubi and Ami" and learning can run effectively and improve students' thinking abilities. …”
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  19. 1659

    Digital Classroom Innovations: Leveraging Smartphone-Based Application to Stimulate Students Creative Thinking Skills by Sukatiman, Ida Nugroho Saputro, Mochamad Kamil Budiarto

    Published 2024-12-01
    “…The research involved 60 students as subjects, divided equally into two groups: the experimental and control groups. The research data was collected through tests of creative thinking skills conducted before and after implementing the smartphone-based application. …”
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  20. 1660

    A bad dream come true: ICT patent prosecution against EU competition law by Niccolò Galli

    Published 2022-11-01
    “…Indeed, the data on the European ICT patent landscape hint at substantial patent prosecution cost and timing, rising patent applications and granted patents owned by a few large ICT undertakings, and rare administrative oppositions, especially between symmetric firms. …”
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