Details the DLKA structure, which includes the DLKA-Attention module and the FFN module. The DLKA-Attention module mainly consists of the DLKA module, which comprises deformable de... by Xunqian Xu (21261899)

Subjects:

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. …”

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. …”

Image_3_Identification and verification of diagnostic biomarkers in recurrent pregnancy loss via machine learning algorithm and WGCNA.tif by 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. …”

Bayesian-frequentist Hybrid Inference in Applications with Small Sample Sizes by Gang Han (127634)

Subjects:

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

Subjects:

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

Subjects:

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

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

Performance Comparison of Different Improvement Methods. by Guofeng Qin (11025170)

Subjects:

Volume, density and diversity of different human detection training datasets. by Guofeng Qin (11025170)

Subjects:

Comparison of detection performance of different detection methods. by Guofeng Qin (11025170)

Subjects:

Improved YOLOv5s-DeepSORT network structure. by Guofeng Qin (11025170)

Subjects:

Schematic diagram of MHSA mechanism. by Guofeng Qin (11025170)

Subjects:

Improved FPN combined with PAN structure. by Guofeng Qin (11025170)

Subjects:

YOLOv5s network structure. by Guofeng Qin (11025170)

Subjects:

Improved YOLOv5s network structure. by Guofeng Qin (11025170)

Subjects:

Comparison of tracking performance of different methods. by Guofeng Qin (11025170)

Subjects:

Comparison of Tracking Performance Among Different Improvement Methods with YOLOv5s (↓represents “Lower is better”, ↑ represents “Higher is better”). by Guofeng Qin (11025170)

Subjects:

Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)