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481
Service impact analysis and visualization display based on massive real-time monitoring data
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482
A density clustering-based network performance failure big data analysis algorithm
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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483
An Investigation of GNSS Radio Occultation Data Pattern for Temperature Monitoring and Analysis over Africa
Published 2025-06-01“…For temporal analysis, the study investigated the data availability period of selected GNSS RO missions. …”
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484
A New Electric Locomotive Remote Monitor & Expert Data Analysis System
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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485
Measuring the efficiency of the Indonesian Air Police using Data Envelopment Analysis with BCC Model
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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486
Is it possible to perform a comprehensive analysis of the diagnostic data of mental diseases in the early stages?
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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487
Enhancing Tourist Satisfaction on Komodo Island: A Data-Driven Analysis of Online Reviews
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488
Estimating the efficiency from Brazilian banks: a bootstrapped Data Envelopment Analysis (DEA)
Published 2016-01-01Get full text
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489
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.
Published 2017-03-01“…In this work, we introduce a framework for creating, testing, versioning and archiving portable applications for analyzing neuroimaging data organized and described in compliance with the Brain Imaging Data Structure (BIDS). …”
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490
Passenger Travel Regularity Analysis Based on a Large Scale Smart Card Data
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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491
Leveraging real-time data analysis and multiple kernel learning for manufacturing of innovative steels
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492
Data collection and analysis of temperature field simulation of steam boiler for soil steam disinfection.
Published 2025-01-01Get full text
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493
Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion
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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494
Panel Data Model Analysis on the Relationship Between Export and Employment: The Case of OECD Countries
Published 2021-07-01Get full text
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495
Comparative Analysis of Time Series Prediction Algorithms on Multiple Network Function Data of NWDAF
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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496
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Machine learning-based analysis of defensive strategies in basketball using player movement data
Published 2025-04-01“…Abstract The analysis of basketball strategies has traditionally relied on manual observation and limited data. …”
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498
Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids
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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499
Social and Digital Entrepreneurship in Turkey: Content Analysis of Crowdfunding Platforms with Data Scraping Techniques
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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500
Highly Detailed Landfill Mapping and Zoning Based on Multi-sensor Data and Its Analysis
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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