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  1. 281
    Computer-aided prediction of cefotaxime sodium stability in aqueous solution at different pH from sparse data
    “…In this study we used sparse data to predict optimum pH for cefotaxime sodium aqueous solutions…”
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    Article
  2. 282
    Data driven insights for parabolic trough solar collectors: Artificial intelligence-based energy and exergy performance analysis
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    Article
  3. 283
    Enabling a Sustainable and Inclusive Digital Future with Proactive Producer Mobility Management Mechanism in Named Data Networking
    “…Named Data Networking (NDN) is the most remarkable initiative of Information-Centric Network (ICN…”
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    Conference paper
  4. 284
    Real-time anomaly detection in sky quality meter data using probabilistic exponential weighted moving average
    “… in night sky brightness data recorded using a Sky Quality Meter (SQM). This equipment has been widely…”
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    Review
  5. 285
    Data driven insights for parabolic trough solar collectors: Artificial intelligence-based energy and exergy performance analysis
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    Article
  6. 286
    Advancing the measurement speed and accuracy of conventional BOTDA fiber sensor systems via SoC data acquisition
    “… scanning, offline data acquisition and processing and signal synchronisation, which results in time…”
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    Article
  7. 287
    Real-time anomaly detection in sky quality meter data using probabilistic exponential weighted moving average
    “… in night sky brightness data recorded using a Sky Quality Meter (SQM). This equipment has been widely…”
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    Review; Early Access
  8. 288
    Advancing the measurement speed and accuracy of conventional BOTDA fiber sensor systems via SoC data acquisition
    “… scanning, offline data acquisition and processing and signal synchronisation, which results in time…”
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    Article
  9. 289
    Sea surface current in the gulf of Thailand based on Nineteen years altimetric data and GPS tracked drifting buoy
    “… current within the Gulf of Thailand using the seasonally averaged sea level anomaly (SLA) data from multi…”
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    Conference paper
  10. 290
    Prediction Model based on Continuous Data for Student Performance using Principal Component Analysis and Support Vector Machine
    “… behaviour data is challenging, because the data is changing with time. The potential of using continuous…”
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    Article
  11. 291
    A Provisional Study of Data Mining Classification Algorithms in Predicting Credit Card Defaulters Using Weka Tools
    “…Data mining is a field of study that seeks to draw out significant patterns from large amounts…”
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    Conference paper
  12. 292
    Integrated exploratory factor analysis and Data Envelopment Analysis to evaluate balanced ambidexterity fostering innovation in manufacturing SMEs
    “…. At the first step, this study used quantitative data to test the proposed model with hierarchical regression…”
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    Article
  13. 293
    Biomass and yield estimation of MR219 and MR220 of paddy varieties using terrestrial laser scanning data
    “… Scanning (TLS) data. Different amount of N i.e. 0 kg/ha, 85 kg/ha, 170 kg/ha and 250 kg/ha were applied…”
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    Article
  14. 294
    Pressure-volume-temperature data and surface tension of blends of poly(ethylene oxide) and poly(methyl acrylate) in the melt
    “…-temperature data, the reduction parameters for the Flory-Orwoll-Vrij equation-of-state were determined…”
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    Article
  15. 295
    Imputation Analysis for Time Series Air Quality (PM10) Data Set: A Comparison of Several Methods
    “…Good quality data is important to guarantee for the best quality results of research analysis…”
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    Conference paper
  16. 296
    AN OUTDOOR TERRESTRIAL LASER SCANNER DATA QUALITY ASSURANCE: MINIMIZING POINT-BASED SELF-CALIBRATION NETWORK CONFIGURATION
    “…Data quality assurance (QA) is a critical process to maximize the accuracy of terrestrial laser…”
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    Article
  17. 297
    Assessing the Multiple Imputation Approach for Univariate Time Series Data of Geomagnetic Disturbance Event in Solar Cycle 24
    “…Space weather data frequently contains gaps and missing information due to factors…”
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    Conference paper
  18. 298
    Enhancing Hybrid Electric Vehicle Speed Controller based on Fractional Order PID using Jaya Optimization Algorithm
    “… is optimized using Jaya Optimization Algorithm (JOA). Two objective functions, which are speed regulation error…”
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    Conference paper
  19. 299
    Missing data imputation of MAGDAS-9’s ground electromagnetism with supervised machine learning and conventional statistical analysis models
    “…Data imputation studies include reconstruction or estimation of imperfect data gaps caused…”
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    Article
  20. 300
    A Cognitive Deception Model for Generating Fake Documents to Curb Data Exfiltration in Networks during Cyber-Attacks
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    Article
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