cardiopulmonary
发表于 2025-3-23 10:05:51
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pessimism
发表于 2025-3-23 16:25:05
An Integrated Navigation Method for UAV Autonomous Landing Based on Inertial and Vision Sensorsasurement information of the vision sensor appears singular. The estimation of the landing navigation parameters is realized by inertial information in the aid of vision. When the UAV rollouts, the vision sensor enters the ‘blind area’, judges the UAV’s motion state through the imaging features of t
FOIL
发表于 2025-3-23 21:16:07
An Automatic Surface Defect Detection Method with Residual Attention Network(Resnet50) and spatial attention block, a residual attention network is proposed for effective feature representation, which could make the classification network better focus on the defect areas. Meanwhile, due to the scale information change among different defects, a multi-scale context fusion (M
赞成你
发表于 2025-3-24 02:10:07
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Oscillate
发表于 2025-3-24 04:49:19
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小虫
发表于 2025-3-24 07:15:59
Binding Complex Data Types Part I known models, meanwhile, keeping a higher success rate on all original models. In addition, the experiment result illustrates that, for more challenging targeted attacks, our methods exhibit higher transferability than other state-of-the-art attacks.
缺陷
发表于 2025-3-24 14:41:51
SportsStore: A RESTful Applicationtter predict users’ browsing behavior intent within different interest groups. A validation experiment on the large-scale dataset shows that the proposed method can predict user browsing intent with a decent performance.
出生
发表于 2025-3-24 18:31:07
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鄙视
发表于 2025-3-24 21:03:40
Implementation of the CACSD Package,constraints and calculate character spatial correlations and accurately estimates missing character landmarks. Finally, we employ the Hungarian algorithm to align recognition characters with estimated landmarks and fill missing characters with ‘*’ to preserve the complete semantic context, and produ
阶层
发表于 2025-3-25 02:39:41
Introduction to Cloud Storage with Parse,as dataset for experiments. The results show that the ETH-TT method can achieve an F1-score of 95.4% with the cooperation of the XGBoost classifier, which is better than the detection method using only manual features.