بدائل البحث:
linear optimization » lead optimization (توسيع البحث), after optimization (توسيع البحث)
where optimization » whale optimization (توسيع البحث), phase optimization (توسيع البحث), other optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
wide linear » wise linear (توسيع البحث)
data where » data were (توسيع البحث), dataset where (توسيع البحث)
linear optimization » lead optimization (توسيع البحث), after optimization (توسيع البحث)
where optimization » whale optimization (توسيع البحث), phase optimization (توسيع البحث), other optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
wide linear » wise linear (توسيع البحث)
data where » data were (توسيع البحث), dataset where (توسيع البحث)
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Iteration curve of the optimization process.
منشور في 2025"…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. A particle swarm optimization (PSO) algorithm was integrated with the FEA model to optimize the cross-sectional dimensions of the primary beams, secondary beams, and foundation boxes, achieving a balance between load-bearing capacity and cost efficiency. …"
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A portfolio selection model based on the knapsack problem under uncertainty
منشور في 2019"…The resulted model is converted into a parametric linear programming model in which the decision maker is able to determine the optimism threshold. Finally, a discrete firefly algorithm is designed to find the near optional solutions in large dimensions. …"
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Heavy-load transfer steel platform.
منشور في 2025"…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. A particle swarm optimization (PSO) algorithm was integrated with the FEA model to optimize the cross-sectional dimensions of the primary beams, secondary beams, and foundation boxes, achieving a balance between load-bearing capacity and cost efficiency. …"
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Traditional scaffolding reinforcement system.
منشور في 2025"…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. A particle swarm optimization (PSO) algorithm was integrated with the FEA model to optimize the cross-sectional dimensions of the primary beams, secondary beams, and foundation boxes, achieving a balance between load-bearing capacity and cost efficiency. …"
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CIAHS-Data.xls
منشور في 2025"…This method identifies inherent natural grouping points within the data through the Jenks optimization algorithm, maximizing between-class differences while minimizing within-class differences37. …"
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Table_4_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX
منشور في 2019"…Reducing noise pollution to data and ensuring the extracted intrinsic patterns in concordance with the primary data structure are important in sample clustering and classification. …"
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Table_2_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX
منشور في 2019"…Reducing noise pollution to data and ensuring the extracted intrinsic patterns in concordance with the primary data structure are important in sample clustering and classification. …"
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Table_1_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.docx
منشور في 2019"…Reducing noise pollution to data and ensuring the extracted intrinsic patterns in concordance with the primary data structure are important in sample clustering and classification. …"
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Table_3_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLS
منشور في 2019"…Reducing noise pollution to data and ensuring the extracted intrinsic patterns in concordance with the primary data structure are important in sample clustering and classification. …"
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Table_5_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX
منشور في 2019"…Reducing noise pollution to data and ensuring the extracted intrinsic patterns in concordance with the primary data structure are important in sample clustering and classification. …"
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