Shift test functions. by Yong Gao (29929)

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WERs for different SE algorithms. by Fahad Khalil Peracha (15453204)

Results from different ML algorithms. by Caroline L. Alves (14271413)

ROC curve for each ML algorithm. by Caroline L. Alves (14271413)

Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen... by Ross J. Burton (10941910)

Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. by Alexandria M. Jensen (6494957)

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Performance comparison of mainstream algorithms. by Junjie Lu (160350)

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The resultant accuracy curves while using the hinge loss function for the best model. by Abdullah Almansour (6273935)

The variation process of various loss functions before and after model improvement. by Zhenwei Li (834360)

Loss of generator and discriminator during training. by Xing Chen (140292)

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Algorithm timings on a laptop computer with Intel i9–9900K CPU, 32GB RAM and an NVIDIA RTX2080 GPU. by Adam L. Tyson (10892822)

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A hybrid algorithm based on improved threshold function and wavelet transform. by Bingbing Li (461702)

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Comparison of correction results of different algorithms on the data set of electrical equipment nameplate exposure. by Hao Wu (65943)

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The SSIM for the different algorithms. by Bingbing Li (461702)

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Convergence curve of shift function. by Yong Gao (29929)

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Test functions and convergence thresholds. by Yong Gao (29929)

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Loss curve. by Jiexiang Yang (19980594)

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Comparisons of the objective quality with state-of-the-art algorithms for RGB and LDCT images. by Wonjin Kim (8129577)

Comparison the results with and without Fourier Loss Function for Rain100H. by Chaobing Zheng (20896579)

Experimental results of various loss functions. by Dongshan Jiang (21866339)

“…Then, a CGBD module is proposed in the neck structure to reconstruct the ordinary convolution to improve the feature extraction ability of the model for small targets. Finally, the SIoU loss function is used to replace CIoU to accelerate the convergence of the model. …”