بدائل البحث:
process optimization » model optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
phase process » phase proteins (توسيع البحث), whole process (توسيع البحث), phase protein (توسيع البحث)
fatal rate » fatal case (توسيع البحث), fall rate (توسيع البحث), fatality rate (توسيع البحث)
rate based » rule based (توسيع البحث), made based (توسيع البحث), game based (توسيع البحث)
process optimization » model optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
phase process » phase proteins (توسيع البحث), whole process (توسيع البحث), phase protein (توسيع البحث)
fatal rate » fatal case (توسيع البحث), fall rate (توسيع البحث), fatality rate (توسيع البحث)
rate based » rule based (توسيع البحث), made based (توسيع البحث), game based (توسيع البحث)
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The flowchart of MCS algorithm.
منشور في 2024"…<div><p>Globally, traffic accidents on the highway network contribute significantly to a high fatality rate, drawing considerable attention from health institutions. …"
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The results of four algorithms.
منشور في 2024"…<div><p>Globally, traffic accidents on the highway network contribute significantly to a high fatality rate, drawing considerable attention from health institutions. …"
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The pseudocode of the MCS algorithm.
منشور في 2024"…<div><p>Globally, traffic accidents on the highway network contribute significantly to a high fatality rate, drawing considerable attention from health institutions. …"
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Parameters setting in the MCS algorithm.
منشور في 2024"…<div><p>Globally, traffic accidents on the highway network contribute significantly to a high fatality rate, drawing considerable attention from health institutions. …"
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Flow chart of particle swarm algorithm.
منشور في 2024"…The third phase is the training and testing phase. Finally, the best-performing model was selected and compared with the currently established models (Alexnet, Squeezenet, Googlenet, Resnet50).…"
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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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