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Showing 21 - 40 results of 383 for search '(( elements method algorithm ) OR ((( data processing algorithm ) OR ( most making algorithm ))))', query time: 0.12s Refine Results
  1. 21
    Scalable parallel algorithms for dynamic programming on tree decomposition. (c2017)

    Scalable parallel algorithms for dynamic programming on tree decomposition. (c2017) by Yassine, Mohamad M.

    Published 2017
    Subjects: “…Trees (Graph theory) -- Data processing…”
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  2. 22
    Estimating Construction Project Duration Using a Machine Learning Algorithm

    Estimating Construction Project Duration Using a Machine Learning Algorithm by Nasr, Joshua

    Published 2024
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  3. 23
    Editorial on the Special Section on Algorithms, Circuits, and Systems for Signal Processing at the Edge

    Editorial on the Special Section on Algorithms, Circuits, and Systems for Signal Processing at the Edge by Leonel Sousa (19645372)

    Published 2021
    “…<p dir="ltr">Technological trends alongside with the unprecedented growth of the data generated by devices sparsely distributed, most of them mobile devices, cannot be supported by traditional approaches and processing systems. …”
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  4. 24
    Public health utility of cause of death data: applying empirical algorithms to improve data quality

    Public health utility of cause of death data: applying empirical algorithms to improve data quality by Sarah Charlotte Johnson (9715415)

    Published 2021
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  5. 25
    Web Based Online Hybrid Teaching Method of Network Music Course

    Web Based Online Hybrid Teaching Method of Network Music Course by Abu Zitar, Raed

    Published 2022
    “…Based on Web data mining, an improved algorithm of hybrid hierarchical recommendation algorithm and genetic algorithm is used in the experiment, and compared with the other two algorithms in the experiment. …”
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  6. 26
    Towards Scalable Process Mining Pipelines

    Towards Scalable Process Mining Pipelines by Mohamed, Belal

    Published 2023
    “…Contributions have covered the spectrum of better algorithms, richer comparison metrics, and movement towards online analysis for process data. …”
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  7. 27
    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT

    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT by Dhananjay Bisen (19482454)

    Published 2023
    “…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …”
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  8. 28
    An enhanced k-means clustering algorithm for pattern discovery in healthcare data

    An enhanced k-means clustering algorithm for pattern discovery in healthcare data by Haraty, Ramzi A.

    Published 2015
    “…The huge amounts of data generated by media sensors in health monitoring systems, by medical diagnosis that produce media (audio, video, image, and text) content, and from health service providers are too complex and voluminous to be processed and analyzed by traditional methods. …”
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  9. 29
    Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices

    Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices by Khawam, Yahya Bader

    Published 2016
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  10. 30
    Mining airline data for CRM strategies. (c2006)

    Mining airline data for CRM strategies. (c2006) by Maalouf, Lena

    Published 2006
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  11. 31
    When to Graft the Incised Plate During TIP Repair? A Suggested Algorithm That may Help in the Decision-Making Process

    When to Graft the Incised Plate During TIP Repair? A Suggested Algorithm That may Help in the Decision-Making Process by Tariq O. Abbas (11247771)

    Published 2018
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  12. 32
    Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm

    Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm by Abu Zitar, Raed

    Published 2022
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  13. 33
    A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators

    A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators by Al-Hamouz, Z.M.

    Published 2002
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  14. 34
    Software defect prediction. (c2019)

    Software defect prediction. (c2019) by Moussa, Rebecca

    Published 2019
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  15. 35
    An efficient and secure compression technique for data protection using burrows-wheeler transform algorithm

    An efficient and secure compression technique for data protection using burrows-wheeler transform algorithm by M Baritha Begum (17541483)

    Published 2023
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  16. 36
    Graph Computing Systems and Partitioning Techniques: A Survey

    Graph Computing Systems and Partitioning Techniques: A Survey by Tewodros Alemu Ayall (19273717)

    Published 2022
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  17. 37
    Nonlinear analysis of shell structures using image processing and machine learning

    Nonlinear analysis of shell structures using image processing and machine learning by M.S. Nashed (16392961)

    Published 2023
    “…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …”
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  18. 38
    ADD. (c2002)

    ADD. (c2002) by Varjabedian, Ralph A.

    Published 2002
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  19. 39
    Sentiment Mining of Arabic Twitter Data

    Sentiment Mining of Arabic Twitter Data by Ahmed, Soha Galalaldin Khider

    Published 2014
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  20. 40
    Sentiment analysis for Arabizi in social media. (c2015)

    Sentiment analysis for Arabizi in social media. (c2015) by Tobaili, Taha

    Published 2015
    “…We took the initiative to make use of this abundance of data by analyzing it and predicting sentiment. …”
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