neutral-posture
发表于 2025-3-26 23:50:04
http://reply.papertrans.cn/17/1627/162686/162686_31.png
美色花钱
发表于 2025-3-27 02:44:39
https://doi.org/10.1007/978-1-4684-1191-1and geology without directly landing on its surface. Autonomous detection of craters has been of particular interest lately, especially for Mars and Lunar surfaces. This review study deals with the technical implementation, training, and testing of YOLOv5 and YOLOv6 to gauge their efficiency in dete
certitude
发表于 2025-3-27 06:17:30
http://reply.papertrans.cn/17/1627/162686/162686_33.png
仪式
发表于 2025-3-27 11:56:15
https://doi.org/10.1007/978-3-031-20650-4artificial intelligence; computer networks; computer science; computer systems; computer vision; database
figment
发表于 2025-3-27 17:28:48
978-3-031-20649-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
省略
发表于 2025-3-27 20:26:58
http://reply.papertrans.cn/17/1627/162686/162686_36.png
chemical-peel
发表于 2025-3-27 22:15:56
Jeffrey E. Christiaansen,Charles M. Petersonthe-art graph neural networks. In an experimental evaluation on five graph data sets, we show that this novel augmentation technique is able to significantly improve the classification accuracy of three different neural network models.
火海
发表于 2025-3-28 02:25:02
Fetal Islet Transplantation and Pregnancy,ossing edges introducing linear splines, and threat the control points as novel “fake” vertices that can be optimized via the underlying layout optimization process. We provide qualitative and quantitative analysis over multiple graphs and optimizing different aesthetic losses, that show how the pro
混合物
发表于 2025-3-28 09:14:59
Fetal Islet Transplantation and Pregnancy,ividuals who are distinguished from other pairs in the records by data-driven similarity measures between each individual in the transformed data. Such a design identifies the bias and mitigates it at the data preprocessing stage of the machine learning pipeline to ensure individual fairness. Our me
渐变
发表于 2025-3-28 13:01:50
Fetal Neuroimaging: Ultrasound or MRI?, results with those of convolutional neural networks employed for the same tasks. Our findings support the use of Capsule Networks over Convolutional Neural Networks for Computer-Aided Diagnosis due to their superiority in performance but more importantly for their better interpretability and their