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Table_1_Using 3D Imaging and Machine Learning to Predict Liveweight and Carcass Characteristics of Live Finishing Beef Cattle.DOCX by Gemma A. Miller (6652073)

Including additional feature information improves trackability and increases tracking fidelity. by Oliver J. Meacock (9871650)

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. …”

<b>Psy-Tech LDEM – Volúmenes I y II: Protocolo Psicológico para Misiones Espaciales de Larga Duración (LDEM) y Entornos ICE con Aplicación del Modelo EFQM 2025</b> by Héctor Herrera Yuste (21145907)

Construction of reduced chemical mechanisms orientated toward specific applications: a case study of primary reference fuel by Bo Niu (102579)

DataSheet1_Effectively Quantifying the Performance of Lower-Limb Exoskeletons Over a Range of Walking Conditions.PDF by Daniel F. N. Gordon (5458004)

Oscillatory Field Genesis: The Emergent Architecture of Spacetime, Matter, and Memory by Drippy Stone (21218843)

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Supplementary Data: Biodiversity and Energy System Planning - Queensland 2025 by Andrew Rogers (17623239)

Supplementary Material for: Assessing the accuracy of the international evidence-based Kyoto guidelines for detecting malignancy in intraductal papillary mucinous neoplasms of the... by figshare admin karger (2628495)

“…Future guidelines should focus on integrating patient-specific factors, such as age and comorbidities, into decision-making algorithms to optimise management strategies and to consider the weight and number of worrisome features.…”