Maximizing fuzzy goal. by Mohammadmahdi Taheri (21722285)

Example depiction of the autoML process. by Cynthia Lokker (3813832)

Supplementary material for the paper “Probabilistic hydrological post-processing at scale: Why and how to apply machine-learning quantile regression algorithms” by Georgia Papacharalampous (4399993)

MCLP_quantum_annealer_V0.5 by Anonymous Anonymous (4854526)

Data_Sheet_1_A multi-class logistic regression algorithm to reliably infer network connectivity from cell membrane potentials.PDF by Thierry Nieus (165355)

Image_1_Diffeomorphic Registration With Intensity Transformation and Missing Data: Application to 3D Digital Pathology of Alzheimer's Disease.JPEG by Daniel Tward (8435190)

Data_Sheet_1_Diffeomorphic Registration With Intensity Transformation and Missing Data: Application to 3D Digital Pathology of Alzheimer's Disease.pdf by Daniel Tward (8435190)

Ablation experiments. by Haibin Liu (403499)

“…Second, the study introduces two improved C3 modules that aim to suppress background noise interference and enhance the feature extraction capabilities of the network. Finally, the study uses the Wise-IoU (WIoU) function in the post-processing stage to improve the learning ability and robustness of the algorithm to different samples. …”

External experimental platform. by Haibin Liu (403499)

“…Second, the study introduces two improved C3 modules that aim to suppress background noise interference and enhance the feature extraction capabilities of the network. Finally, the study uses the Wise-IoU (WIoU) function in the post-processing stage to improve the learning ability and robustness of the algorithm to different samples. …”

Network structure of ETSR-YOLO. by Haibin Liu (403499)

“…Second, the study introduces two improved C3 modules that aim to suppress background noise interference and enhance the feature extraction capabilities of the network. Finally, the study uses the Wise-IoU (WIoU) function in the post-processing stage to improve the learning ability and robustness of the algorithm to different samples. …”

Enhanced path aggregation network. by Haibin Liu (403499)

“…Second, the study introduces two improved C3 modules that aim to suppress background noise interference and enhance the feature extraction capabilities of the network. Finally, the study uses the Wise-IoU (WIoU) function in the post-processing stage to improve the learning ability and robustness of the algorithm to different samples. …”

Structure of coordinate attention. by Haibin Liu (403499)

“…Second, the study introduces two improved C3 modules that aim to suppress background noise interference and enhance the feature extraction capabilities of the network. Finally, the study uses the Wise-IoU (WIoU) function in the post-processing stage to improve the learning ability and robustness of the algorithm to different samples. …”

Model training parameters. by Haibin Liu (403499)

“…Second, the study introduces two improved C3 modules that aim to suppress background noise interference and enhance the feature extraction capabilities of the network. Finally, the study uses the Wise-IoU (WIoU) function in the post-processing stage to improve the learning ability and robustness of the algorithm to different samples. …”

Confusion matrix of ETSR-YOLO. by Haibin Liu (403499)

“…Second, the study introduces two improved C3 modules that aim to suppress background noise interference and enhance the feature extraction capabilities of the network. Finally, the study uses the Wise-IoU (WIoU) function in the post-processing stage to improve the learning ability and robustness of the algorithm to different samples. …”

Precision-recall curve for improved models. by Haibin Liu (403499)

“…Second, the study introduces two improved C3 modules that aim to suppress background noise interference and enhance the feature extraction capabilities of the network. Finally, the study uses the Wise-IoU (WIoU) function in the post-processing stage to improve the learning ability and robustness of the algorithm to different samples. …”

Precision-Recall data for improved models. by Haibin Liu (403499)

“…Second, the study introduces two improved C3 modules that aim to suppress background noise interference and enhance the feature extraction capabilities of the network. Finally, the study uses the Wise-IoU (WIoU) function in the post-processing stage to improve the learning ability and robustness of the algorithm to different samples. …”

Network structure of ConvNeXt and ConvNeXt Block. by Haibin Liu (403499)

“…Second, the study introduces two improved C3 modules that aim to suppress background noise interference and enhance the feature extraction capabilities of the network. Finally, the study uses the Wise-IoU (WIoU) function in the post-processing stage to improve the learning ability and robustness of the algorithm to different samples. …”

Table1_Polynomial surface-fitting evaluation of new energy maximum power generation capacity based on random forest association analysis and support vector regression.DOCX by Yuzhuo Hu (17687766)

Image_8_CASP6 predicts poor prognosis in glioma and correlates with tumor immune microenvironment.tif by Kai Guo (54091)

“…We then investigated the biological functions of CASP6 and the relationship between CASP6 expression and the tumor microenvironment and immunocyte infiltration. The half maximal inhibitory concentration of temozolomide and the response to immune checkpoint blockade in the high- and low-CASP6 expression groups were estimated using relevant bioinformatic algorithms. …”

Table_4_CASP6 predicts poor prognosis in glioma and correlates with tumor immune microenvironment.xlsx by Kai Guo (54091)

“…We then investigated the biological functions of CASP6 and the relationship between CASP6 expression and the tumor microenvironment and immunocyte infiltration. The half maximal inhibitory concentration of temozolomide and the response to immune checkpoint blockade in the high- and low-CASP6 expression groups were estimated using relevant bioinformatic algorithms. …”