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. …”

Smart metering and energy access programs: an approach to energy poverty reduction in sub-Saharan Africa by Bennour Bacar (14761288)

“…</li> <li>The datasets (CSV, XLSX), sequentially named, are part of the process of extracting, transforming and loading the data into a machine learning algorithm, identifying the best regression model based on metrics, and predicting the data.…”

Data Sheet 2_Early stroke detection through machine learning in the prehospital setting.pdf by María Ríos Delgado (22004942)

Data Sheet 1_Early stroke detection through machine learning in the prehospital setting.pdf by María Ríos Delgado (22004942)

Table 1_Early stroke detection through machine learning in the prehospital setting.xlsx by María Ríos Delgado (22004942)

Three conditions of gas explosion. by Hongxia Li (493545)

“…Then, a training set is randomly selected from known coal mine samples, and the training sample set is processed and analyzed using Matlab software. …”

S1 Data - by Hongxia Li (493545)

“…Then, a training set is randomly selected from known coal mine samples, and the training sample set is processed and analyzed using Matlab software. …”

Principles for selecting evaluation indicators. by Hongxia Li (493545)

“…Then, a training set is randomly selected from known coal mine samples, and the training sample set is processed and analyzed using Matlab software. …”

DataSheet1_Deep learning-based correlation analysis for probabilistic power flow considering renewable energy and energy storage.docx by Xiaotian Xia (402177)

Data_Sheet_1_Structural Transition States Explored With Minimalist Coarse Grained Models: Applications to Calmodulin.ZIP by Francesco Delfino (7496873)

Data_Sheet_2_Structural Transition States Explored With Minimalist Coarse Grained Models: Applications to Calmodulin.ZIP by Francesco Delfino (7496873)

Data_Sheet_1_Dried shiitake mushroom grade recognition using D-VGG network and machine vision.docx by Li Wang (15202)

“…In this study, a comprehensive method to solve this problem is provided, including image acquisition, preprocessing, dataset creation, and grade recognition. The osprey optimization algorithm (OOA) is used to improve the computational efficiency of Otsu’s threshold binarization and obtain complete mushroom contours samples efficiently. …”