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Showing 1 - 20 results of 287 for search '(( ((data selection) OR (data injection)) algorithm ) OR ( data detection algorithm ))', query time: 0.21s Refine Results
  1. 1
    Variable Selection in Data Analysis: A Synthetic Data Toolkit

    Variable Selection in Data Analysis: A Synthetic Data Toolkit by Mitra, Rohan

    Published 2024
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  2. 2
    The effects of data balancing approaches: A case study

    The effects of data balancing approaches: A case study by Paul Mooijman (4453189)

    Published 2023
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  3. 3
    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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  4. 4
    Application of Data Mining to Predict and Diagnose Diabetic Retinopathy

    Application of Data Mining to Predict and Diagnose Diabetic Retinopathy by Haniyeh, Maryam

    Published 2024
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  5. 5
    Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems

    Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems by Amal Hichri (21383672)

    Published 2022
    “…This is addressed such that the genetic algorithm (GA) technique is used for selecting the best features and the artificial neural network (ANN) classifier is applied for fault diagnosis. …”
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  6. 6
    UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data

    UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data by Behrouz Ahadzadeh (19757022)

    Published 2024
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  7. 7
    Bird’s Eye View feature selection for high-dimensional data

    Bird’s Eye View feature selection for high-dimensional data by Samir Brahim Belhaouari (16855434)

    Published 2023
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  8. 8
    An enhanced quorum selection algorithm

    An enhanced quorum selection algorithm by Haraty, Ramzi A.

    Published 2009
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  9. 9
    An Improved Quorum Selection Algorithm

    An Improved Quorum Selection Algorithm by Haraty, Ramzi A.

    Published 2008
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  10. 10
    A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation

    A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation by Khaled Dhibi (16891524)

    Published 2021
    “…In the proposed FDD approach, named interval reduced kernel PCA (IRKPCA)-based Random Forest (IRKPCA-RF), the feature extraction and selection phase is performed using the IRKPCA models while the fault classification is ensured using the RF algorithm. …”
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  11. 11
    Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems

    Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems by Majdi Mansouri (16869885)

    Published 2022
    “…Next, as a feature selection tool, an improved extension of Artificial Butterfly Optimization (ABO) algorithm is used in order to extract the significant features from data and improve the diagnosis results of multiscale interval SVM. …”
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  12. 12
    Improving the Resilience of Smart Distribution Networks against Cyber Attacks

    Improving the Resilience of Smart Distribution Networks against Cyber Attacks by ElYamani, Mohamed ElHusseiny Mohamed

    Published 2022
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  13. 13
    Unsupervised outlier detection in multidimensional data

    Unsupervised outlier detection in multidimensional data by Atiq ur Rehman (14153391)

    Published 2022
    “…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. …”
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  14. 14
    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method

    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

    Published 2022
    “…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. …”
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  15. 15
    An improved quorum selection algorithm (IQSA). (c2007)

    An improved quorum selection algorithm (IQSA). (c2007) by Younes, Samer

    Published 2007
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  16. 16
    VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems

    VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems by Hisham A. Kholidy (18891802)

    Published 2019
    “…The Nonnested Generalized Exemplars (NNGE) algorithm is one of the most accurate classification techniques that can work with such data of CPPS. …”
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  17. 17
    A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems

    A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems by Majdi Mansouri (16869885)

    Published 2020
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  18. 18
    Data mining approach to predict student's selection of program majors

    Data mining approach to predict student's selection of program majors by SIDDARTHA, SHARMILA

    Published 2019
    “…There is an opportunity to apply data mining to arrive at a model to predict student selection of a major. …”
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  19. 19
    A genetic algorithm for testable data path synthesis

    A genetic algorithm for testable data path synthesis by Harmanani, H.

    Published 2017
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  20. 20
    Nested ensemble selection: An effective hybrid feature selection method

    Nested ensemble selection: An effective hybrid feature selection method by Kamalov, Firuz

    Published 2023
    “…The NES algorithm achieves perfect precision on the synthetic data and near optimal accuracy on the real-life data. …”
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