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Showing 21 - 40 results of 113 for search 'data ((augmentation OR documentation) OR segmentation) (algorithms OR algorithm)', query time: 0.10s Refine Results
  1. 21
    Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem

    Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem by Assaker, Guy

    Published 2016
    “…This research note describes Response-Based Unit Segmentation (REBUS), a “latent class detection” technique used in partial least squares–structural equation modeling (PLS-SEM) to examine data heterogeneity. …”
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  2. 22
    A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model

    A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model by Md. Nazmul Islam Shuzan (16888827)

    Published 2021
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  3. 23
    Convergence and steady-state analysis of the normalized least mean fourth algorithm

    Convergence and steady-state analysis of the normalized least mean fourth algorithm by Zerguine, Azzedine

    Published 2007
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  4. 24
    KNNOR: An oversampling technique for imbalanced datasets

    KNNOR: An oversampling technique for imbalanced datasets by Ashhadul Islam (16869981)

    Published 2021
    “…The proposed technique called K-Nearest Neighbor OveRsampling approach (KNNOR) performs a three step process to identify the critical and safe areas for augmentation and generate synthetic data points of the minority class. …”
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  5. 25
    Structural similarity evaluation between XML documents and DTDs

    Structural similarity evaluation between XML documents and DTDs by Tekli, J.

    Published 2007
    “…In this paper, we propose an algorithm for measuring the structural similarity between an XML document and a Document Type Definition (DTD) considered as the simplest way for specifying structural constraints on XML documents. …”
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  6. 26
    Performance evaluation of load balancing algorithms for parallel single-phase iterative PDE solvers

    Performance evaluation of load balancing algorithms for parallel single-phase iterative PDE solvers by Mansour, N.

    Published 1994
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  7. 27
    Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks

    Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks by Najam Us Sahar Riyaz (22927843)

    Published 2025
    “…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R<sup>2</sup> = 0.05 to 0.99 in a representative thiophene set. …”
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  8. 28
    Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images

    Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images by Ahila A (18394806)

    Published 2022
    “…The automatic segmentation algorithm is adopted to extract the region of interest, and subsequently morphological and texture features are computed. …”
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  9. 29
    DoFP-ML: A Machine Learning Approach to Food Quality Monitoring Using a DoFP Polarization Image Sensor

    DoFP-ML: A Machine Learning Approach to Food Quality Monitoring Using a DoFP Polarization Image Sensor by Maen Takruri (10873368)

    Published 2020
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  10. 30
    A multi-pretraining U-Net architecture for semantic segmentation

    A multi-pretraining U-Net architecture for semantic segmentation by Cagla Copurkaya (22502042)

    Published 2025
    “…Particularly, we present a novel non-sequential multi-pretraining U-Net architecture and demonstrate that employing a number of persistent parallel models can boost the effectiveness of the segmentation procedures. The proposed approach makes advantage of data augmentation to generate newly synthesized images, which are subsequently processed using a watershed mask. …”
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  11. 31
    VEGAWES: variational segmentation on whole exome sequencing for copy number detection

    VEGAWES: variational segmentation on whole exome sequencing for copy number detection by Samreen Anjum (19651882)

    Published 2015
    “…In this work, we developed VEGAWES for accurate and robust detection of copy number variations on WES data. VEGAWES is an extension to a variational based segmentation algorithm, VEGA: Variational estimator for genomic aberrations, which has previously outperformed several algorithms on segmenting array comparative genomic hybridization data. …”
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  12. 32
    Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System

    Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System by Abu Zitar, Raed

    Published 2021
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  13. 33
    Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection

    Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection by Serkan Kiranyaz (3762058)

    Published 2020
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  14. 34
    A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics

    A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics by Tekli, Joe

    Published 2011
    “…Various algorithms for comparing hierarchically structured data, XML documents in particular, have been proposed in the literature. …”
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  15. 35
    Identifying Regional Trends in Avatar Customization

    Identifying Regional Trends in Avatar Customization by Peter Mawhorter (18602944)

    Published 2019
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  16. 36
    Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches

    Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches by Natasha Akram (20749538)

    Published 2024
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  17. 37
    A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method

    A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method by Shahid Rahman (16904613)

    Published 2022
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  18. 38
    Mapping realistic data sets on parallel computers

    Mapping realistic data sets on parallel computers by Mansour, N.

    Published 1993
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  19. 39
    Using Data Mining in CRM to Understand the Insurance Market

    Using Data Mining in CRM to Understand the Insurance Market by Qadadeh, Wafa

    Published 2016
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  20. 40
    A method for data path synthesis using neural networks

    A method for data path synthesis using neural networks by Harmanani, H.

    Published 2017
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