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

الموضوعات:

Loss function values of target detection algorithms during training. حسب Guodong Su (7876934)

"…<p>Loss function values of target detection algorithms during training.…"

SwinT-YOLOv4 loss function curve. حسب Kewei Lu (138871)

Strahler number (<i>H</i>), branching ratio () and length ratio () as functions of relative age (). حسب Jonathan E Kings (20818367)

Comparison results of the loss functions. حسب Jia Li (160557)

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Automated correction of fluorescence bleedthrough in the larval eye. حسب Sebastian M. Bernasek (8525829)

الموضوعات:

Automated unsupervised annotation of clones in the larval eye. حسب Sebastian M. Bernasek (8525829)

الموضوعات:

Perturbing gene expression via mitotic recombination. حسب Sebastian M. Bernasek (8525829)

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

الموضوعات:

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

الموضوعات:

MSE of MOP parameters with various schemes with <i>n</i> = 50 and <i>α</i> = 2, <i>θ</i> = 1.5, <i>β</i> = 0.5. حسب R. Alshenawy (13162866)

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

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

MSE of MOP parameters with various schemes with <i>n</i> = 50 and <i>α</i> = 2.5, <i>θ</i> = 1.5, <i>β</i> = 0.5. حسب R. Alshenawy (13162866)

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Changes in loss values for different algorithms. حسب Xiaojun Wang (50332)

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MSEs and biases for MLEs and bayes estimators of <i>α</i> = 2, <i>θ</i> = 1.5, <i>β</i> = 0.5. حسب R. Alshenawy (13162866)

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Image_1_Identification and verification of diagnostic biomarkers in recurrent pregnancy loss via machine learning algorithm and WGCNA.tif حسب Changqiang Wei (11454415)

"…This profile underwent differential expression analysis, WGCNA, functional enrichment, and subsequent analysis of RPL gene expression using LASSO regression, SVM-RFE, and RandomForest algorithms for hub gene screening. …"

MSEs and biases for MLEs and bayes estimators of <i>α</i> = 2.5, <i>θ</i> = 1.5, <i>β</i> = 0.5. حسب R. Alshenawy (13162866)

الموضوعات:

Point and interval prediction of the unobserved order statistics for scheme 3, with <i>α</i> = 0.5, <i>β</i> = 0.5, <i>θ</i> = 0.5. حسب R. Alshenawy (13162866)

الموضوعات:

Point and interval prediction of the unobserved order statistics for scheme 2, with <i>α</i> = 0.5, <i>β</i> = 0.5, <i>θ</i> = 0.5. حسب R. Alshenawy (13162866)

الموضوعات:

Point and interval prediction of the unobserved order statistics for scheme 1, with <i>α</i> = 0.5, <i>β</i> = 0.5, <i>θ</i> = 0.5. حسب R. Alshenawy (13162866)

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