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Showing 41 - 52 results of 52 for search 'data (segmentation OR augmentation) algorithm', query time: 0.06s Refine Results
  1. 41
    Automatic White Blood Cell Differential Classification

    Automatic White Blood Cell Differential Classification by Al-Muhairy, Juma A. Bin Darwish

    Published 2005
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  2. 42
    Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features

    Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features by Mariam Bahameish (19255789)

    Published 2024
    “…To account for limitations associated with small datasets, robust strategies were implemented based on methodological recommendations for ML with a limited dataset, including data segmentation, feature selection, and model evaluation. …”
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  3. 43
    Scan Test Cost and Power Reduction Through Systematic Scan Reconfiguration

    Scan Test Cost and Power Reduction Through Systematic Scan Reconfiguration by Al-Yamani, A.

    Published 0000
    “…This paper presents segmented addressable scan (SAS), a test architecture that addresses test data volume, test application time, test power consumption, and tester channel requirements using a hardware overhead of a few gates per scan chain. …”
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  4. 44
    Improving INS/GPS Integration for Mobile Robotics Applications

    Improving INS/GPS Integration for Mobile Robotics Applications by AbuHashim, Tariq Salman

    Published 2008
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  5. 45
    Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images

    Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images by Rehan Raza (17019105)

    Published 2023
    “…The class imbalance issue was handled through multiple data augmentation methods to overcome the biases. …”
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  6. 46
    Local convexity preserving rational cubic spline curves

    Local convexity preserving rational cubic spline curves by Sarfraz, M.

    Published 1997
    “…An algorithm is presented which constructs a curve by interpolating the given data points. …”
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  7. 47
    Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework

    Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework by Tayyabah Hasan (18427887)

    Published 2022
    “…After selecting the most appropriate lattice map (32 × 32) in 750,000 iterations using SOMs, the data points below the dark blue region are mapped onto the data frame to get the videos. …”
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  8. 48
    Exploring Digital Competitiveness through Bayesian Belief Networks

    Exploring Digital Competitiveness through Bayesian Belief Networks by Qazi, Abroon

    Published 2025
    “…Three states were assigned to variables—low, medium, and high performance—and the tree augmented naive Bayes (TAN) algorithm was applied to model interdependencies. …”
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  9. 49
    Resilience analytics: coverage and robustness in multi-modal transportation networks

    Resilience analytics: coverage and robustness in multi-modal transportation networks by Abdelkader Baggag (14153040)

    Published 2018
    “…In this work, we propose MUME, an efficient algorithm for Multi-modal Urban Mobility Estimation, that takes advantage of the special structure of the supra-Laplacian matrix of the transportation multiplex, to compute the coverage of the system. …”
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  10. 50
    The use of semantic-based predicates implication to improve horizontal multimedia database fragmentation

    The use of semantic-based predicates implication to improve horizontal multimedia database fragmentation by Getahun, Fekade

    Published 2007
    “…Database fragmentation allows reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. …”
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  11. 51
    Towards Multimedia Fragmentation

    Towards Multimedia Fragmentation by Saad, Samir

    Published 2006
    “…Database fragmentation is a process for reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. …”
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  12. 52
    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying

    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying by Tekli, Joe

    Published 2023
    “…We use a semantic-aware inverted index to allow semantic-aware search, result selection, and result ranking functionality. The semantically augmented XML data tree is processed for structural node clustering, based on semantic query concepts (i.e., key-concepts), in order to identify and rank candidate answer sub-trees containing related occurrences of query key-concepts. …”
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