Search alternatives:
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
based process » based processes (Expand Search), based probes (Expand Search), based proteins (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
primary data » primary care (Expand Search)
data model » data models (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
based process » based processes (Expand Search), based probes (Expand Search), based proteins (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
primary data » primary care (Expand Search)
data model » data models (Expand Search)
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141
Proposed model specificity and DSC outcomes.
Published 2024“…Next, we employ batch normalization to smooth and enhance the collected data, followed by feature extraction using the AlexNet model. …”
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142
Accuracy comparison of proposed and other models.
Published 2024“…Next, we employ batch normalization to smooth and enhance the collected data, followed by feature extraction using the AlexNet model. …”
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143
Bi-directional LSTM Model performance.
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.
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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150
Descriptive statistics on stock prices.
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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151
Correlation heatmap of the principal components.
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.
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. …”
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Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment
Published 2019“…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …”
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157
Predicting the Shear Viscosity of Carbonated Aqueous Amine Solutions and Their Blends by Using an Artificial Neural Network Model
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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