بدائل البحث:
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
low functional » new functional (توسيع البحث), go functional (توسيع البحث), cog functional (توسيع البحث)
algorithm low » algorithm flow (توسيع البحث), algorithm allows (توسيع البحث), algorithm shows (توسيع البحث)
algorithm co » algorithm cl (توسيع البحث), algorithm _ (توسيع البحث), algorithm b (توسيع البحث)
co function » cost function (توسيع البحث), cep function (توسيع البحث), _ function (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
low functional » new functional (توسيع البحث), go functional (توسيع البحث), cog functional (توسيع البحث)
algorithm low » algorithm flow (توسيع البحث), algorithm allows (توسيع البحث), algorithm shows (توسيع البحث)
algorithm co » algorithm cl (توسيع البحث), algorithm _ (توسيع البحث), algorithm b (توسيع البحث)
co function » cost function (توسيع البحث), cep function (توسيع البحث), _ function (توسيع البحث)
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The process of the optimization (NSGA-Ⅱ).
منشور في 2025"…Thus, a combination algorithm optimization strategy for metamaterials in terms of multiple structural parameters is proposed in this paper based on a co-simulation approach. …"
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42
The process of the optimization (NSGA-Ⅱ+ NLPQL).
منشور في 2025"…Thus, a combination algorithm optimization strategy for metamaterials in terms of multiple structural parameters is proposed in this paper based on a co-simulation approach. …"
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43
The TL of the metamaterial.
منشور في 2025"…Thus, a combination algorithm optimization strategy for metamaterials in terms of multiple structural parameters is proposed in this paper based on a co-simulation approach. …"
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44
The nine structural parameters as design factors.
منشور في 2025"…Thus, a combination algorithm optimization strategy for metamaterials in terms of multiple structural parameters is proposed in this paper based on a co-simulation approach. …"
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45
The material characteristics of the components.
منشور في 2025"…Thus, a combination algorithm optimization strategy for metamaterials in terms of multiple structural parameters is proposed in this paper based on a co-simulation approach. …"
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46
The process of the optimization (NSGA-Ⅱ).
منشور في 2025"…Thus, a combination algorithm optimization strategy for metamaterials in terms of multiple structural parameters is proposed in this paper based on a co-simulation approach. …"
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47
The TL of the perforated membrane metamaterial.
منشور في 2025"…Thus, a combination algorithm optimization strategy for metamaterials in terms of multiple structural parameters is proposed in this paper based on a co-simulation approach. …"
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48
The process of the optimization (MIGA).
منشور في 2025"…Thus, a combination algorithm optimization strategy for metamaterials in terms of multiple structural parameters is proposed in this paper based on a co-simulation approach. …"
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49
The effect of each parameter on the peak value.
منشور في 2025"…Thus, a combination algorithm optimization strategy for metamaterials in terms of multiple structural parameters is proposed in this paper based on a co-simulation approach. …"
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50
EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit
منشور في 2025"…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …"
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51
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The optimal solution set of NYN by using different algorithms.
منشور في 2022الموضوعات: "…evolutionary genetic algorithm…"
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53
The optimal solution set of HN by using different algorithms.
منشور في 2022الموضوعات: "…evolutionary genetic algorithm…"
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54
FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz
منشور في 2025الموضوعات: -
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56
Algorithm membership function.
منشور في 2022"…<p>(Top) Input Membership Function. The algorithm classifies glucose input into 4 sets: low, medium, high, and ex_high. …"
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57
A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications
منشور في 2019"…In this study, we developed a Component Overlapping Attribute Clustering (COAC) algorithm to perform the localized (cell subpopulation) gene co-expression network analysis from large-scale scRNA-seq profiles. …"
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