بدائل البحث:
whale optimization » swarm optimization (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
binary task » binary mask (توسيع البحث)
phase model » base model (توسيع البحث)
whale optimization » swarm optimization (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
binary task » binary mask (توسيع البحث)
phase model » base model (توسيع البحث)
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1
Model frame drawing.
منشور في 2024"…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …"
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Weighted covariance matrix based GEDM model.
منشور في 2024"…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …"
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4
Flow chart of particle swarm algorithm.
منشور في 2024"…The process of designing each model can be divided into three phases. The first phase is feature extraction. …"
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5
Flowchart of SIMPLE algorithm and PISO algorithm.
منشور في 2024"…Differences in exhaled gas vorticity and jet penetration depth across different flow models were identified. Finally, combined with the non-iterative algorithm, the optimal strategy of human respiration simulation was proposed. …"
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6
Histogram of final time in our data.
منشور في 2024"…<div><p>This study presents a novel approach to modeling the velocity-time curve in 100m sprinting by integrating machine learning algorithms. …"
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7
DeepDate model’s architecture design.
منشور في 2024"…The process of designing each model can be divided into three phases. The first phase is feature extraction. …"
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9
Flow chart of density peak clustering algorithm.
منشور في 2024"…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …"
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Proposed architecture testing phase.
منشور في 2025"…The proposed architecture is trained on the selected datasets, whereas the hyperparameters are chosen using the particle swarm optimization (PSO) algorithm. The trained model is employed in the testing phase for the feature extraction from the self-attention layer and passed to the shallow wide neural network classifier for the final classification. …"
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13
Results of ablation experiment.
منشور في 2024"…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …"
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14
Training process.
منشور في 2024"…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …"
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15
Data set parameters.
منشور في 2024"…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …"
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16
Vorticity for RNG <i>k-ε</i>+laminar model, t = 21.06 s.
منشور في 2024"…Differences in exhaled gas vorticity and jet penetration depth across different flow models were identified. Finally, combined with the non-iterative algorithm, the optimal strategy of human respiration simulation was proposed. …"
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17
Vorticity for only RNG <i>k-ε</i> model, t = 21.06 s.
منشور في 2024"…Differences in exhaled gas vorticity and jet penetration depth across different flow models were identified. Finally, combined with the non-iterative algorithm, the optimal strategy of human respiration simulation was proposed. …"
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The fault repair and recovery phase flowchart.
منشور في 2025"…The lower considers the economic effect of the loss during repair and determines the optimal fault repair sequence. Furthermore, an enhanced Nutcracker Optimization algorithm to solve the bilayer model was proposed, determining the dynamic combination of the fault reconfiguration scheme and the repair sequence. …"