Test results of different training methods. حسب Hao Wu (65943)

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Schematic diagram of subpixel convolution. حسب Hao Wu (65943)

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Training results of data sets with different sizes. حسب Hao Wu (65943)

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S1 Dataset - حسب Hao Wu (65943)

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PS-UNet++ model structure. حسب Hao Wu (65943)

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Comparison of training results of data sets with different sizes. حسب Hao Wu (65943)

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Network structure diagram of UNet++. حسب Hao Wu (65943)

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Ablation test results of the data set of electrical equipment nameplate exposure. حسب Hao Wu (65943)

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Sub-pixel convolution upsampling module. حسب Hao Wu (65943)

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Parameter sets of the chosen algorithms. حسب WanRu Zhao (18980374)

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The flow chart of IERWHO algorithm. حسب WanRu Zhao (18980374)

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The flow chart of WHO algorithm. حسب WanRu Zhao (18980374)

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Flowchart of system algorithm. حسب Syed Zahurul Islam (9635163)

Function <i>χ</i>_<i>opt</i> superimposed with the phase-field function indicating the channel geometry. حسب Martina Bukač (20161460)

<i>L</i>^{<i>AB</i>/<i>F</i>} quality assessment results. حسب Hui Huang (4122)

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

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

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

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Exponent in memory kernel and intensity function. حسب Mariko I. Ito (5007323)

GA and loss function (Loss_L) parameters are optimized using their search spaces through the hyperparameter tuning. حسب Burcu Ozek (16949357)