Showing 101 - 120 results of 312 for search '(( binary task required optimization algorithm ) OR ( primary data model optimization algorithm ))', query time: 0.66s Refine Results
  1. 101

    CNN-LSTM Model performance. by Muhammad Usman Tariq (11022141)

    Published 2024
    “…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …”
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    Proposed model specificity and DSC outcomes. by Subathra Gunasekaran (19492680)

    Published 2024
    “…Next, we employ batch normalization to smooth and enhance the collected data, followed by feature extraction using the AlexNet model. …”
  6. 106

    Accuracy comparison of proposed and other models. by Subathra Gunasekaran (19492680)

    Published 2024
    “…Next, we employ batch normalization to smooth and enhance the collected data, followed by feature extraction using the AlexNet model. …”
  7. 107

    Bi-directional LSTM Model performance. by Muhammad Usman Tariq (11022141)

    Published 2024
    “…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …”
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    Dendrogram of the stock prices. by Muhammad Hilal Alkhudaydi (21560690)

    Published 2025
    “…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …”
  13. 113

    Descriptive statistics on stock prices. by Muhammad Hilal Alkhudaydi (21560690)

    Published 2025
    “…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …”
  14. 114

    Correlation heatmap of the principal components. by Muhammad Hilal Alkhudaydi (21560690)

    Published 2025
    “…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …”
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    Error of models. by Qinghua Li (398885)

    Published 2024
    “…In the hybrid model of this paper, the choice was made to use the Densenet architecture of CNN models with LightGBM as the primary model. …”
  18. 118
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    Predicting the Shear Viscosity of Carbonated Aqueous Amine Solutions and Their Blends by Using an Artificial Neural Network Model by Ali Aminian (9580734)

    Published 2020
    “…A total of 1682 amine + CO<sub>2</sub> + water viscosity data sets for primary, secondary, and tertiary amines and 220 data points for further accuracy examinations were used. …”
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