Showing 481 - 500 results of 14,865 for search 'Operational data analysis', query time: 0.30s Refine Results
  1. 481
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    A density clustering-based network performance failure big data analysis algorithm by Xiang LI, Yuan LI, Zifei ZHANG, Zhe YANG

    Published 2020-09-01
    “…Facing frequent network security incidents,how to quickly find abnormal data in massive monitoring database and carry out network failure analysis becomes a research difficulty.A density-based network performance failure big data analysis algorithm was proposed,which extracted key performance characteristic indicators through entropy weight analysis,implemented data shaping through data cleaning and standardization,and extracted abnormal performance data on the basis of DBSCAN clustering algorithm.Relying on the real-time massive backbone network link performance data of multiple domestic operators to validated this algorithm,the results shows that compared with the manually manner,the recognition accuracy of the algorithm proposed to the network performance abnormal data is more than 90%,which can well fit for the analysis of real-time Internet network operation failure.…”
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  3. 483
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    A New Electric Locomotive Remote Monitor & Expert Data Analysis System by SHI Yansong, DENG Yabo, DENG Zhifeng

    Published 2018-01-01
    “…Broadband wireless transmission and data fusion techniques are used for file automatic downloading and correlation analysis,which could reduce manual work and improve locomotive maintenance and operation efficiency, and also supplying wireless hotspot aboard for data interchange and share.…”
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  5. 485

    Measuring the efficiency of the Indonesian Air Police using Data Envelopment Analysis with BCC Model by Andyas Mukti Pradanarka, Isna Nugraha, Iffad Rakhmanhuda

    Published 2025-08-01
    “…Using Data Envelopment Analysis (DEA) with the Banker, Charnes, Cooper (BCC) model, the results showed that two OCs (Bali and North Sulawesi) were identified as efficient, while eight OCs were inefficient.   …”
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  6. 486

    Is it possible to perform a comprehensive analysis of the diagnostic data of mental diseases in the early stages? by N. M. Zalutskaya, A. Eran, Sh. Freilikhman, R. Balicer, N. A. Gomzyakova, V. V. Korkhov, N. G. Neznanov, A. V. Bogdanov, A. B. Degtyarev

    Published 2019-05-01
    “…The process of their analysis will be based on complex methods, the effective use of which requires readily available means of operating with clinical and biological data, which, in turn, can be implemented through modern cloud and high-performance computing technologies. …”
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    Passenger Travel Regularity Analysis Based on a Large Scale Smart Card Data by Qi Ouyang, Yongbo Lv, Yuan Ren, Jihui Ma, Jing Li

    Published 2018-01-01
    “…However, passenger travel patterns can only be watched through a period time, and a lot of people travel by public transportation in big cities like Beijing daily, which leads to large-scale data and difficult operation. Using SPARK platform, this paper proposes a trip reconstruction algorithm and adopts the density-based spatial clustering of application with noise (DBSCAN) algorithm to mine the travel patterns of each Smart Card (SC) user in Beijing. …”
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    Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion by Long Qin

    Published 2025-01-01
    “…To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes multi-source data, and then proposes an improved sentiment analysis framework based on deep transfer learning technology. …”
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    Comparative Analysis of Time Series Prediction Algorithms on Multiple Network Function Data of NWDAF by Dasheng Chen, Qi Song, Yinbin Zhang, Ling Li, Zhiming Yang

    Published 2024-01-01
    “…In comparison to 4G technology, 5G technology brings forth a host of new features, one of which is the network data analytics function (NWDAF). This function grants network operators the flexibility to either employ their own data analytics methodologies based on machine learning (ML) and deep learning (DL) into their networks. …”
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    Machine learning-based analysis of defensive strategies in basketball using player movement data by Jianlong Li

    Published 2025-04-01
    “…Abstract The analysis of basketball strategies has traditionally relied on manual observation and limited data. …”
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  18. 498

    Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids by Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi

    Published 2025-09-01
    “…Six encoding techniques for time series data were evaluated: Markov transition fields (MTF), Gramian angular summation field (GASF), Gramian angular difference field (GADF), Recurrence plots (RP), and time–frequency analysis methods, including short-time Fourier transform (STFT) and continuous wavelet transform (CWT). …”
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  19. 499

    Social and Digital Entrepreneurship in Turkey: Content Analysis of Crowdfunding Platforms with Data Scraping Techniques by Murat Kılınç, Can Aydın, Çiğdem Tarhan

    Published 2022-06-01
    “…Since the success of the projects has an important place for the CF ecosystem, the distributions by category, distribution by funding, distribution by attributes, distributions according to locations were revealed by performing a success analysis according to platforms in the study. In this direction, the 1635 CF projects operating in Turkey on Fongogo, Crowdfon, Buluşum, Fonbulucu, Arıkovanı, Ideanest platforms, together with their features and meta fields, were collected using data scraping techniques and analyzed using content analysis method. …”
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  20. 500

    Highly Detailed Landfill Mapping and Zoning Based on Multi-sensor Data and Its Analysis by A. Medvedev, A. Medvedev, G. Tepanosyan, G. Ayvazyan, S. Asmaryan

    Published 2025-07-01
    “…The optical imagery data served as the basis for creating an orthophoto of the terrain and a digital elevation model, which became the basis for morphometric analysis. …”
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