Cross validation of PRF and PRFGA models. حسب Taiwo A. Adekunle (22226868)

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Confusion matrix for the PRF model. حسب Taiwo A. Adekunle (22226868)

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Training time comparison of PRF, PRFPCA, and PRFGA. حسب Taiwo A. Adekunle (22226868)

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Confusion matrix for the PRFGA model. حسب Taiwo A. Adekunle (22226868)

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Model predicted sites for PRFGA. حسب Taiwo A. Adekunle (22226868)

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Model architecture. حسب Taiwo A. Adekunle (22226868)

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AUC-ROC curve for PRFGA model. حسب Taiwo A. Adekunle (22226868)

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Comparison of predictive performance between PRF and PRFGA boxplot. حسب Taiwo A. Adekunle (22226868)

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AUC comparison of Model between PRF and PRFGA. حسب Taiwo A. Adekunle (22226868)

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Comparison between existing locations and hybrid PRF + GA predicted sites. حسب Taiwo A. Adekunle (22226868)

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Spatial distribution of mastomys natalensis (selected GA features). حسب Taiwo A. Adekunle (22226868)

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Performance metrics comparison of PRF, PRFPCA, and PRFGA. حسب Taiwo A. Adekunle (22226868)

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Original model dataset. حسب Taiwo A. Adekunle (22226868)

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Bootstrap distribution of model performance of PRF and PRFGA model. حسب Taiwo A. Adekunle (22226868)

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Process of GWO optimization. حسب Ning Ji (325849)

"…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …"

The optimized results of the 118-Bus. حسب Ahmed A. Zaki Diab (12757190)

"…The key implications of integrating RDGs include the improvement of voltage profiles and the minimization of power losses. Various optimization techniques, namely Salp Swarm Algorithm (SSA), Marine Predictor Algorithm (MPA), Grey Wolf Optimizer (GWO), Improved Grey Wolf Optimizer (IGWO), and Seagull Optimization Algorithm (SOA), have been applied to achieve optimal allocation and sizing of RDGs in radial distributed systems (RDS). …"

Parameter meaning for fine-grained stages. حسب Chaoze Lu (20542500)

"…Empirical results indicate that this approach is more efficient and adaptable in comparison to the Grey Wolf Optimization (GWO) Algorithm, the Simulated Annealing (SA) Algorithm, and the GWO-SA Algorithm, significantly improving both resource utilization and load balancing performance on virtual machines.…"

The iteration curve of virtual machine 4. حسب Chaoze Lu (20542500)

"…Empirical results indicate that this approach is more efficient and adaptable in comparison to the Grey Wolf Optimization (GWO) Algorithm, the Simulated Annealing (SA) Algorithm, and the GWO-SA Algorithm, significantly improving both resource utilization and load balancing performance on virtual machines.…"

The resource requirements of virtual machine 2. حسب Chaoze Lu (20542500)

"…Empirical results indicate that this approach is more efficient and adaptable in comparison to the Grey Wolf Optimization (GWO) Algorithm, the Simulated Annealing (SA) Algorithm, and the GWO-SA Algorithm, significantly improving both resource utilization and load balancing performance on virtual machines.…"

Consumed resources for each virtual machine. حسب Chaoze Lu (20542500)

"…Empirical results indicate that this approach is more efficient and adaptable in comparison to the Grey Wolf Optimization (GWO) Algorithm, the Simulated Annealing (SA) Algorithm, and the GWO-SA Algorithm, significantly improving both resource utilization and load balancing performance on virtual machines.…"