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model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
due optimization » dose optimization (Expand Search), fuel optimization (Expand Search), d optimization (Expand Search)
binary seirs » binary pairs (Expand Search)
primary data » primary care (Expand Search)
seirs model » series model (Expand Search), series models (Expand Search), sepsis model (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
due optimization » dose optimization (Expand Search), fuel optimization (Expand Search), d optimization (Expand Search)
binary seirs » binary pairs (Expand Search)
primary data » primary care (Expand Search)
seirs model » series model (Expand Search), series models (Expand Search), sepsis model (Expand Search)
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Data used in this study.
Published 2024“…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …”
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DEM error verified by airborne data.
Published 2024“…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …”
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Error of ICESat-2 with respect to airborne data.
Published 2024“…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …”
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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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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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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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Results of Comprehensive weighting.
Published 2025“…The model is developed and validated using data from 159 debris flow-prone gullies, integrating deep convolutional, recurrent, and attention-based architectures, with hyperparameters autonomously optimized by IKOA. …”
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The prediction error of each model.
Published 2025“…The model is developed and validated using data from 159 debris flow-prone gullies, integrating deep convolutional, recurrent, and attention-based architectures, with hyperparameters autonomously optimized by IKOA. …”
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VIF analysis results for hazard-causing factors.
Published 2025“…The model is developed and validated using data from 159 debris flow-prone gullies, integrating deep convolutional, recurrent, and attention-based architectures, with hyperparameters autonomously optimized by IKOA. …”
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Benchmark function information.
Published 2025“…The model is developed and validated using data from 159 debris flow-prone gullies, integrating deep convolutional, recurrent, and attention-based architectures, with hyperparameters autonomously optimized by IKOA. …”
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Geographical distribution of the study area.
Published 2025“…The model is developed and validated using data from 159 debris flow-prone gullies, integrating deep convolutional, recurrent, and attention-based architectures, with hyperparameters autonomously optimized by IKOA. …”