Principle of the SVM algorithm. حسب Anfeng Zhu (17817144)

Zimbabwe model outputs on actual and optimized 2016 spending and impact by intervention. حسب Nicole Fraser-Hurt (2636833)

الموضوعات:

Côte d’Ivoire model outputs on actual and optimized 2016 spending and impact by care delivery platform. حسب Nicole Fraser-Hurt (2636833)

الموضوعات:

Armenia model outputs on optimized resource allocation and health impact by EUHC care package (2019 vs. higher budget scenario). حسب Nicole Fraser-Hurt (2636833)

الموضوعات:

Overview of the five stages of the HIPtool application. حسب Nicole Fraser-Hurt (2636833)

الموضوعات:

Routing policy based on path satisfaction. حسب Yang Yu (4292)

"…<div><p>In the operational planning of electric power communication networks, a well-structured service scheduling scheme based on the established network topology can significantly enhance the risk prevention capabilities of these networks. Since routing policies directly influence data transmission paths, routing optimization serves as an effective strategy for improving network performance by mitigating transmission risks and threats. …"

Iterative optimization convergence curve of each algorithm. حسب Guangwei Liu (181992)

Machine learning deployment strategies and schematic illustration of the proposed generative adversarial algorithm for domain adaptation. حسب Aly A. Valliani (13251484)

"…<b>(C)</b> Schematic of the proposed algorithm. a) Real data from a source domain is translated by the generator to resemble data from a specified target domain while maintaining underlying semantic qualities of the input image. b) Translated data is reconstructed by the generator to resemble data from the source domain to maintain domain-agnostic image characteristics with a semantic consistency constraint ensuring that reconstructed images maintain the semantic characteristics of the source data. c) The discriminator aims to distinguish between real and synthetic images and identify the domain of input images to constrain the generator to produce realistic-looking synthetic images from a specified domain. d) A target discriminator is fine-tuned on synthetic images to better identify opacity in the target domain.…"

The optimization results of each algorithm for the 8 benchmark functions. حسب Guangwei Liu (181992)

Optimal results of the different algorithms on the speed design reducer problem. حسب Guangwei Liu (181992)

Optimal results of the different algorithms on the pressure vessel design problem. حسب Guangwei Liu (181992)

Optimal results of the different algorithms on the gear train design problem. حسب Guangwei Liu (181992)

The optimization results of each algorithm for the CEC2019 benchmark functions. حسب Guangwei Liu (181992)

Optimal results of the different algorithms on the tension/compression spring design problem. حسب Guangwei Liu (181992)

Pseudocode of artificial dragonfly algorithm. حسب Ghassan Ahmed Ali (17041488)

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Datasets used for the study and their sources. حسب Peter N-jonaam Mahama (15347793)

"…Projecting into 2030, this study aimed at providing geographical information data for guiding future policies on siting required healthcare facilities. …"

The Hopfield artificial neural network algorithm. حسب Ghassan Ahmed Ali (17041488)

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Total primary energy demand by fuel in China. حسب Da Lian (18880882)

DATA. حسب Yang Yu (4292)

"…<div><p>In the operational planning of electric power communication networks, a well-structured service scheduling scheme based on the established network topology can significantly enhance the risk prevention capabilities of these networks. Since routing policies directly influence data transmission paths, routing optimization serves as an effective strategy for improving network performance by mitigating transmission risks and threats. …"

Flowchart of simple ant colony algorithm. حسب Yang Yu (4292)

"…<div><p>In the operational planning of electric power communication networks, a well-structured service scheduling scheme based on the established network topology can significantly enhance the risk prevention capabilities of these networks. Since routing policies directly influence data transmission paths, routing optimization serves as an effective strategy for improving network performance by mitigating transmission risks and threats. …"