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Showing 21 - 40 results of 410 for search '(( element data algorithm ) OR ((( based training algorithm ) OR ( data processing algorithm ))))*', query time: 0.13s Refine Results
  1. 21
    A decentralized load balancing strategy for parallel search-three optimization. (c2010)

    A decentralized load balancing strategy for parallel search-three optimization. (c2010) by Mouawad, Amer E.

    Published 2010
    Subjects: “…Trees (Graph theory) -- Data processing…”
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  2. 22
    Upgraded SemIndex Prototype Supporting Intelligent Database Keyword Queries through Disambiguation, Query as You Type, and Parallel Search Algorithms

    Upgraded SemIndex Prototype Supporting Intelligent Database Keyword Queries through Disambiguation, Query as You Type, and Parallel Search Algorithms by Tekli, Joe

    Published 2018
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  3. 23
    A parallel search tree algorithm for vertex cover on graphical processing units. (c2013)

    A parallel search tree algorithm for vertex cover on graphical processing units. (c2013) by Kabbara, Rashad Karim

    Published 2013
    Subjects: “…Trees (Graph theory) -- Data processing…”
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  4. 24
    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval

    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval by Mohammed Tahar Habib Kaib (21633176)

    Published 2024
    “…Generally, RKPCA reduces the number of samples in the training data set and then builds the KPCA model based on this data set. …”
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  5. 25
    A Graph Heuristic Approach for the Data Path Allocation Problem

    A Graph Heuristic Approach for the Data Path Allocation Problem by Makhoul, Racha

    Published 2022
    Subjects: “…Electronic circuits -- Data processing…”
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  6. 26
    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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  7. 27
    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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  8. 28
    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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  9. 29
    Learning-Based Space-Time Adaptive Processing

    Learning-Based Space-Time Adaptive Processing by El Khatib, Alaa

    Published 2013
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  10. 30
    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm

    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

    Published 2024
    “…The proposed method, named Eye-means, emulates the natural ocular process of estimating initial centroids. To achieve this goal, supervised machine learning was employed to train models on graphs with labeled data points, where each graph contains a set of points and a label indicating the centroid determined by K-means. …”
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  11. 31
    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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  12. 32
    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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  13. 33
    Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition

    Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition by Dabeeruddin Syed (16864260)

    Published 2021
    “…Whilst different models are proposed for STLF, they are based on small historical datasets and are not scalable to process large amounts of big data as energy consumption data grow exponentially in large electric distribution networks. …”
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  14. 34
    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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  15. 35
    Mining airline data for CRM strategies. (c2006)

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

    Published 2006
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  16. 36
    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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  17. 37
    Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems

    Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems by Tarek Berghout (16905132)

    Published 2021
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  18. 38
    TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection

    TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

    Published 2020
    “…TIDCS reduces the number of features in the input data based on a new algorithm for feature selection. …”
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  19. 39
    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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  20. 40
    Software defect prediction. (c2019)

    Software defect prediction. (c2019) by Moussa, Rebecca

    Published 2019
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