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Showing 201 - 220 results of 726 for search '(((( image modeling algorithm ) OR ( data using algorithm ))) OR ( alignment network algorithm ))', query time: 0.13s Refine Results
  1. 201
    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
    “…Among these, K-means is widely used for efficiently solving clustering problems. …”
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  2. 202
    Second-order conic programming for data envelopment analysis models

    Second-order conic programming for data envelopment analysis models by Mourad, Nahia

    Published 2022
    “…Data envelopment analysis (DEA) is a widely used benchmarking technique. …”
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  3. 203
    A Scatter search algorithm for exam scheduling. (c2006)

    A Scatter search algorithm for exam scheduling. (c2006) by Isahakian, Vatche Raffi

    Published 2006
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  4. 204
    CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children

    CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children by Jayakanth, Kunhoth

    Published 2023
    “…Soft voting and hard voting strategies are employed to ensemble these CNN models. The pre-trained DenseNet201 network is used for CNN feature extraction from each task-specific handwritten image data. …”
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  5. 205
    CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children

    CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children by Jayakanth Kunhoth (14158908)

    Published 2023
    “…Soft voting and hard voting strategies are employed to ensemble these CNN models. The pre-trained DenseNet201 network is used for CNN feature extraction from each task-specific handwritten image data. …”
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  6. 206
    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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  7. 207
    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
    “…The approach includes a methodology to manage data mining projects, sampling techniques to handle imbalanced data and multiclass data, a set of classification algorithms to predict and measures to evaluate performance of models. …”
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  8. 208
    An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study

    An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study by Ayman Hassan (14426412)

    Published 2024
    “…</p><h3>Methods</h3><p dir="ltr">Using historical data (2008-2020), an accurate prediction model using machine learning methods was developed and incorporated into a mobile app. …”
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  9. 209
    Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review

    Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review by Daksh Dave (17949239)

    Published 2025
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  10. 210
    Load Partitioning for Matrix-Matrix Multiplication on a Cluster of CPUGPU Nodes Using the Divisible Load Paradigm

    Load Partitioning for Matrix-Matrix Multiplication on a Cluster of CPUGPU Nodes Using the Divisible Load Paradigm by Elhiny, Lamees

    Published 2016
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  11. 211
    Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques

    Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques by Arifa Zahir (20748764)

    Published 2024
    “…The DinoLite Microscope’s high-resolution images are used to measure the length and width of wheat anthers. …”
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  12. 212
    A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)

    A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008) by Korkmaz, Rita

    Published 2008
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  13. 213
    An image processing and genetic algorithm-based approach for the detection of melanoma in patients

    An image processing and genetic algorithm-based approach for the detection of melanoma in patients by Tokajian, Sima

    Published 2018
    “…The second phase classifies lesions using a Genetic Algorithm. Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data.…”
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  14. 214
    An ant colony optimization algorithm to improve software quality prediction models

    An ant colony optimization algorithm to improve software quality prediction models by Azar, D.

    Published 2011
    “…We use an ant colony optimization algorithm in the adaptation process. …”
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  15. 215
    Multi-marker-LD based genetic algorithm for tag SNP selection

    Multi-marker-LD based genetic algorithm for tag SNP selection by Mansour, Nashat

    Published 2014
    “…The performance of the three algorithms are compared with those of a recognized tag SNP selection algorithm using three different real data sets from the HapMap project. …”
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  16. 216
    A Recommended Replacement Algorithm for the Scalable Asynchronous Cache Consistency Scheme

    A Recommended Replacement Algorithm for the Scalable Asynchronous Cache Consistency Scheme by Haraty, Ramzi A.

    Published 2018
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  17. 217
    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
    “…Unlike the LMF algorithm, the convergence behavior of the NLMF algorithm is independent of the input data correlation statistics. …”
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  18. 218
    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
    “…Unlike the LMF algorithm, the convergence behavior of the NLMF algorithm is independent of the input data correlation statistics. …”
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  19. 219
    Education Data Mining to Predict Student Exam Grades in Vocational Institutes

    Education Data Mining to Predict Student Exam Grades in Vocational Institutes by Saleh, Ashjan Ahmad

    Published 2015
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  20. 220
    A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models

    A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models by Azar, Danielle

    Published 2010
    “…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …”
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