Hyperparameter settings for the optimization algorithms. حسب Ahmed M. Elshewey (21463867)

الموضوعات:

Descriptive analysis of the outcomes by the optimized LSTM using several optimization algorithms. حسب Ahmed M. Elshewey (21463867)

الموضوعات:

Histograms of various water quality parameters, including pH, Hardness, Solids, Chloramines, Sulfate, Organic Carbon, Trihalomethanes, Turbidity, and a binary portability check. حسب Amal H. Alharbi (21755906)

Performance of the bAD-PSO-Guided WOA algorithm compared with another algorithm. حسب Ahmed M. Elshewey (21463867)

الموضوعات:

Performance of the proposed AD-PSO-Guided WOA-LSTM algorithm compared with another algorithm. حسب Ahmed M. Elshewey (21463867)

الموضوعات:

The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. حسب Ahmed M. Elshewey (21463867)

الموضوعات:

Total computational cost of the proposed AD-PSO-Guided WOA-LSTM algorithm compared with another algorithm. حسب Ahmed M. Elshewey (21463867)

الموضوعات:

Adaptive dynamic algorithm for Australia rainfall. حسب Ahmed M. Elshewey (21463867)

الموضوعات:

Hyperparameters of the LSTM Model. حسب Ahmed M. Elshewey (21463867)

الموضوعات:

Prediction results of individual models. حسب Ahmed M. Elshewey (21463867)

الموضوعات:

Metrics for evaluating the performance of the proposed model. حسب Ahmed M. Elshewey (21463867)

الموضوعات:

The outcomes of the ANOVA results for the proposed AD-PSO-Guided WOA-LSTM algorithm for rainfall prediction. حسب Ahmed M. Elshewey (21463867)

الموضوعات:

Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm. حسب Ahmed M. Elshewey (21463867)

الموضوعات:

The AD-PSO-Guided WOA LSTM framework. حسب Ahmed M. Elshewey (21463867)

الموضوعات:

Statistical summary of all models. حسب Amal H. Alharbi (21755906)

"…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …"

Classification performance of ML and DL models. حسب Amal H. Alharbi (21755906)

"…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …"

Classification performance after optimization. حسب Amal H. Alharbi (21755906)

"…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …"

ANOVA test for optimization results. حسب Amal H. Alharbi (21755906)

"…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …"

Wilcoxon test results for optimization. حسب Amal H. Alharbi (21755906)

"…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …"

Wilcoxon test results for feature selection. حسب Amal H. Alharbi (21755906)

"…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …"