Vehicle-related parameters. حسب Dawei Wang (471687)

"…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"

Device parameter list. حسب Dawei Wang (471687)

"…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"

The process of IHWGWO. حسب Dawei Wang (471687)

"…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"

The computational results of the case. حسب Dawei Wang (471687)

"…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"

Working time of different processes (<i>h</i>). حسب Dawei Wang (471687)

"…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"

A comparison of the original images with the filtered images with the uniform window. حسب Abeer Aljohani (18497914)

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Confusion matrix values for different size of test samples and different choice of random states. حسب Abeer Aljohani (18497914)

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Comparison of the results obtained with the proposed method with other methods in literature. حسب Abeer Aljohani (18497914)

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A comparison of the spectral component of normal and abnormal images combined with the uniform window. حسب Abeer Aljohani (18497914)

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A visual representation of the windows used in the study. حسب Abeer Aljohani (18497914)

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The spectral component of normal peoples and Covid-19 infected peoples. حسب Abeer Aljohani (18497914)

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A comparison of the original images with the filtered images with the binomial window. حسب Abeer Aljohani (18497914)

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The effect of test set size and number of nodes on the values of confusion matrix using SVM combined with the uniform window. حسب Abeer Aljohani (18497914)

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Graphical illustration of a spectral approach for training support vector machine. حسب Abeer Aljohani (18497914)

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Accuracy of the support vector machines for different proportion of test samples and different length of nodes used for training. حسب Abeer Aljohani (18497914)

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Confusion matrix representation of classification outcomes. حسب Abeer Aljohani (18497914)

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The parametric study of the confusion matrix values for different proportion of test samples vs number of nodes from the spectral space. حسب Abeer Aljohani (18497914)

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ROC and precision plots of SVM showing the details of accuracy. حسب Abeer Aljohani (18497914)

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Classification Report of the SVM classifier without using any window. حسب Abeer Aljohani (18497914)

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Accuracy of the support vector machines for different proportion of test samples. حسب Abeer Aljohani (18497914)

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