Data Sheet 2_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.zip by Rui Zhang (13940)

“…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. …”

Data Sheet 1_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.docx by Rui Zhang (13940)

“…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. …”

Algorithm schematic diagram of the CSM module. by Huiying Zhang (200681)

“…Additionally, three innovative loss functions—focalerDIoU, focalerGIOU and focalerShapeIoU are proposed to reduce losses during the training process. …”

Filled contour plot based on histograms of the occurence-frequency of binned values of and as a function of . by Paul Kinsler (3975620)

Functional pattern of the proposed method for depression detection. by Umme Marzia Haque (11846815)

Comparative Analysis (Security Functionalities). by Naif Alzahrani (19992885)

Comparison of the results obtained for active power losses reduction (Standard IEEE 30-bus test system). by Abdullah Khan (377292)

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Comparison of the solutions obtained for reactive power losses minimization (Standard IEEE 30-bus test system). by Abdullah Khan (377292)

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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. …”

Loss ratio of models. by Xianlin Ren (22783589)

“…This research initially proposes an adaptive variational mode decomposition approach based on dung beetle optimization algorithm to decompose and extract signals. …”

Loss curve. by Jiexiang Yang (19980594)

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Comparison of boundary box loss curves. by Zhibo Fu (19009854)

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Algorithm framework of this paper. by Xiaoqin Wu (470428)

“…The standard convolution blocks of the coding path and decoding path on the original network are improved to dense blocks, which enhances the transmission of features. The mixed loss function composed of the Binary Cross Entropy Loss function and the Tversky coefficient is used to replace the original single cross-entropy loss, which restrains the influence of irrelevant features on segmentation accuracy. …”

AW and CP of the 100(1−<i>θ</i>)% CI for Shannon entropy. by Qin Gong (118801)

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ML estimates and Bayesian estimates of Shannon entropy and Rényi entropy. by Qin Gong (118801)

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Upper and lower bounds of bootstrap CIs for Shannon entropy and Rényi entropy at different confidence levels. by Qin Gong (118801)

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PC-II schemes. by Qin Gong (118801)

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ML estimates and goodness of fit testing under real data. by Qin Gong (118801)

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The AEs and corresponding MSEs of <i>β</i> in the GIED model under different censoring schemes. by Qin Gong (118801)

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The AEs and corresponding MSEs of <i>λ</i> in the GIED model under different censoring schemes. by Qin Gong (118801)

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