بدائل البحث:
cell optimization » field optimization (توسيع البحث), wolf optimization (توسيع البحث), lead optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
based swarm » based sars (توسيع البحث), based smart (توسيع البحث), based arm (توسيع البحث)
cell optimization » field optimization (توسيع البحث), wolf optimization (توسيع البحث), lead optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
based swarm » based sars (توسيع البحث), based smart (توسيع البحث), based arm (توسيع البحث)
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A* Path-Finding Algorithm to Determine Cell Connections
منشور في 2025"…Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. The A* algorithm then evaluated connectivity by minimizing Euclidean distance and heuristic cost between cells. …"
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Table1_Study of PARP inhibitors for breast cancer based on enhanced multiple kernel function SVR with PSO.docx
منشور في 2024"…The problem of multi-parameter optimization introduced in the support vector regression model was solved by the particle swarm optimization algorithm. …"
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DataSheet1_Study of PARP inhibitors for breast cancer based on enhanced multiple kernel function SVR with PSO.ZIP
منشور في 2024"…The problem of multi-parameter optimization introduced in the support vector regression model was solved by the particle swarm optimization algorithm. …"
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GSE96058 information.
منشور في 2024"…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …"
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The performance of classifiers.
منشور في 2024"…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …"
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<i>FS</i> index of KNN on the selected feature subset.
منشور في 2024"…</p><p>Methods</p><p>Based on this, this paper proposes a hybrid feature selection algorithm combining information gain and grouping particle swarm optimization (IG-GPSO). …"
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<i>ACC</i> index of KNN on the selected feature subset.
منشور في 2024"…</p><p>Methods</p><p>Based on this, this paper proposes a hybrid feature selection algorithm combining information gain and grouping particle swarm optimization (IG-GPSO). …"
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<i>FS</i> index of SVM on the selected feature subset.
منشور في 2024"…</p><p>Methods</p><p>Based on this, this paper proposes a hybrid feature selection algorithm combining information gain and grouping particle swarm optimization (IG-GPSO). …"
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The flowchart of the IG-GPSO.
منشور في 2024"…</p><p>Methods</p><p>Based on this, this paper proposes a hybrid feature selection algorithm combining information gain and grouping particle swarm optimization (IG-GPSO). …"
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<i>ACC</i> index of SVM on the selected feature subset.
منشور في 2024"…</p><p>Methods</p><p>Based on this, this paper proposes a hybrid feature selection algorithm combining information gain and grouping particle swarm optimization (IG-GPSO). …"