CNN’s optimal hyperparameters utilizing the APSO-WOA-CNN algorithm. حسب Ahmed Bahaa (12887063)

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APSO–WOA–CNN and FNN algorithms’ accuracy training sets. حسب Ahmed Bahaa (12887063)

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APSO–WOA–CNN and FNN algorithms’ accuracy validation sets. حسب Ahmed Bahaa (12887063)

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Evaluation information for eight different denoising algorithms. حسب Wuyi Li (2984439)

Main parameters of braking system. حسب Honglei Pang (22693724)

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EMB and SBW system structure. حسب Honglei Pang (22693724)

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Raw data. حسب Honglei Pang (22693724)

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Code program. حسب Honglei Pang (22693724)

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The HIL simulation data flowchart. حسب Honglei Pang (22693724)

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Steering system model. حسب Honglei Pang (22693724)

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Hyperparameter Configurations in PPO Training. حسب Honglei Pang (22693724)

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Main parameters of steering system. حسب Honglei Pang (22693724)

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Co-simulation architecture. حسب Honglei Pang (22693724)

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Overall framework diagram of the study. حسب Honglei Pang (22693724)

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Braking system model. حسب Honglei Pang (22693724)

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Vehicle parameters. حسب Honglei Pang (22693724)

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The phase-field function for three different network configurations considered in this work. حسب Martina Bukač (20161460)

Idea of the search for a domain/motif within the range from 1 to W positions (in the window) instead of an only predetermined position. حسب Alexander V. Spirov (11302085)

APSO–CNN algorithm’s minimal fitness values modified over iterations. حسب Ahmed Bahaa (12887063)

الموضوعات:

APSO–WOA–CNN and APSO–CNN algorithms’ accuracy training sets. حسب Ahmed Bahaa (12887063)

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