Showing 61 - 80 results of 331 for search '(( element data algorithm ) OR ((( data processing algorithm ) OR ( model fusion algorithm ))))', query time: 0.11s Refine Results
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    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
    “…Unfortunately, PCA’s reliability drops when data has nonlinear characteristics as industrial processes. …”
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    CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children by Jayakanth, Kunhoth

    Published 2023
    “…Among the task-specific models, the SVM trained on word data achieved the highest accuracy of 91.7%. …”
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    article
  9. 69

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

    Published 2023
    “…Among the task-specific models, the SVM trained on word data achieved the highest accuracy of 91.7%. …”
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    Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) by Tay, Bilal M.

    Published 2018
    “…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …”
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    masterThesis
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    Topics in graph algorithms by Abu-Khzam, Faisal Nabih

    Published 2003
    “…This is achieved by implementing some algorithms for the vertex cover problem, and conducting experiments on real data sets. …”
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    masterThesis
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    A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks by Umesh Kumar Lilhore (17727684)

    Published 2022
    “…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …”
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    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark by Ameema Zainab (16864263)

    Published 2021
    “…The paper proposes a concurrent job scheduling algorithm in a multi-energy data source environment using Apache Spark. …”
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