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  1. 81
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    Guidance for research on the COVID-19 disease in times of pandemic by Oya KALAYCIOGLU

    Published 2020-07-01
    Subjects: “…covid-19 research; data collection; research methodology; survey methods; survey sampling…”
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    Article
  3. 83
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    A Guide on Spectral Methods Applied to Discrete Data in One Dimension by Martin Seilmayer, Matthias Ratajczak

    Published 2017-01-01
    “…The goal of this paper is to collect the important information about the common methods to give the reader a guide on how to use these for application on one-dimensional data. …”
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    Article
  5. 85

    Application of Data Mining Methods in the Design and Creation of New Products and Services by A. A. Bryzgalov, E. V. Yaroshenko

    Published 2020-12-01
    “…In order to analyze the collected data, Data Mining methods are used, in particular, the Kohonen self-organizing map method, which allows to obtain automatic clustering of consumers in the market by various characteristics. …”
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    Article
  6. 86

    Gravity Predictions in Data-Missing Areas Using Machine Learning Methods by Yubin Liu, Yi Zhang, Qipei Pang, Sulan Liu, Shaobo Li, Xuguo Shi, Shaofeng Bian, Yunlong Wu

    Published 2024-11-01
    “…Traditionally, interpolation methods such as Kriging have been widely used to deal with data gaps; however, their predictive accuracy in regions with sparse data still needs improvement. …”
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    Article
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    Research on flight detection and data compliance analysis methods for ice meteorological by DING Junliang

    Published 2024-08-01
    “…A series of data processing methods and compliance criteria for icing meteorology are standardized, including cloud gaps, liquid water content, total water collection rate, icing rate, icing thickness, and degree of ice shedding. …”
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    Article
  9. 89

    Manufacturing Process Optimization Using Open Data and Different Analysis Methods by Md Tahiduzzaman, Angkush Kumar Ghosh, Sharifu Ura

    Published 2025-03-01
    “…Traditionally, this optimization has been contingent upon datasets collected from a singular, reliable source. However, in the paradigm of smart manufacturing, this data dependency is transitioning from a single source to a confluence of heterogeneous, open sources. …”
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    Article
  10. 90

    Agricultural consumer Internet of Things devices: Methods for optimizing data aggregation by Hanan Abdullah Mengash, Hany Mahgoub, Asma Alshuhail, Abdulbasit A. Darem, Jihen Majdoubi, Ayman Yafoz, Raed Alsini, Omar Alghushairy

    Published 2025-06-01
    “…If farmers optimise their operations with the help of a Wireless Sensor Network (WSN), they will be able to work much more efficiently and effectively. Data aggregation involves collecting information from multiple sensors. …”
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    Article
  11. 91

    Optimized Ensemble Methods for Classifying Imbalanced Water Quality Index Data by Zaharaddeen Karami Lawal, Ali Aldrees, Hayati Yassin, Salisu Dan'azumi, Sujay Raghavendra Naganna, Sani I. Abba, Saad Sh. Sammen

    Published 2024-01-01
    “…The objective was to apply a classification method to predict WQI using Kinta River data in Malaysia and improve on existing models&#x2019; <inline-formula> <tex-math notation="LaTeX">$70-95\%$ </tex-math></inline-formula> accuracy range. …”
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    Article
  12. 92

    A compressive data gathering method based on El Gamal cryptography by Xiaohan YU, Keming DONG, Xia LI, Chao CHEN

    Published 2019-12-01
    “…As a hot researching area,compressive sensing has advantages in signal process,image processing and data gathering and analysis.How to effectively and safely apply compressive sensing technology to collect data in wireless sensor networks is studied.Conventional compressive sensing technology based data collection method does not consider the security issue.Furthermore,every nod in the network must participate in the process of collecting measurements.The El Gamal cryptography and sparse matrices based compressive sensing technology were combined,and the El Gamal based sparse compressive data gathering (ESCDG) method was proposed.Theoretical analysis and numerical experiments show that ESCDG not only decreases the network resource consumption but also be able to defense the internal and external attacks.…”
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    Article
  13. 93

    Review of Urban Rail Transit Ticket Clearing Methods by WANG Yao, LI Jiming, GAO Shen, LIU Guangjie, XU Zhongquan

    Published 2024-12-01
    “…A more scientific and reasonable clearing scheme needs to further strengthen big data research on the AFC (automatic fare collection) system, and more importantly, relying on existing technologies and computing models is required to strengthen the real-time analysis and overtime prediction accuracy of passengers′ path selection behavior, so as to enable the clearing mechanism accurately make adaptive dynamic adjustments according to actual operating conditions.…”
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    Article
  14. 94

    Developing Survey Methods for Collecting Individual Policy Narratives: A case study of climate change narratives using an engaged convenience sample by Wesley Wehde, Mildred Perreault

    Published 2022-03-01
    “…We use two different ways of collecting narratives in surveys. The first method relies on priming participants to consider certain narrative elements, while the other primes participants to consider the overarching narrative instead of individual elements. …”
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    Article
  15. 95

    Adaptive encryption method of sensitive data in data center database based on big data cross-mapping fusion algorithm by Dingwen Zhang, Shuang Yang, Ming Chen, Lei Zheng, Jiashu Fan, Aidi Dong

    Published 2025-08-01
    “…Abstract Traditional methods are inadequate for addressing the requirements of data security and efficiency in contemporary data centers. …”
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    Article
  16. 96

    Segmented Curve-Fitting Method for Continuum Removal in CRISM MTRDR data by P. Kumari, S. Soor, A. Shetty, S. G. Koolagudi

    Published 2025-07-01
    “…The performance of SCF is compared with UCH and a few other apparent continuum removal methods previously used in literature, using a collection of simulated data of varying complexity as well as a real CRISM TRDR hyperspectral dataset. …”
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    A Data-Driven Loose Contact Diagnosis Method for Smart Meters by Wenpeng Luan, Yajuan Huang, Bochao Zhao, Hanju Cai, Yang Han, Bo Liu

    Published 2025-06-01
    “…Voltage differentials, extracted from operational data collected via a simulated multi-meter metering enclosure, are leveraged to diagnose terminal contact degradation. …”
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    Article
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