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Optimized Conditions for Extracting Native Type-I Collagen from Discarded Fish Skin Using Hydrochloric Acid to Overcome the Drawbacks of Acetic Acid. [PDF]
Mar DrugsGonapinuwala ST +4 more
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PU Learning for RPN Generalization
2020 The 4th International Conference on Video and Image Processing, 2020Region proposal is an important part of the two-stage object detection. RPNs pay more attention to the object within dataset, which has poor generalization and cannot generate objects that is unseen in the dataset. The traditional method does not rely on data but the performance is poor.
Tengfei Hou, Ya Zhang, Yanfeng Wang
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RN and RPN Decision Making Across Settings
Nursing Leadership, 2000Nursing decision making was a focus of the Province-Wide Nursing Project (PWNP), a 3-year project to promote best nursing practice. In much of the growing literature on nursing decision making, it is assumed that there are differences in the way RNs and RPNs make decisions. However, there is little scientific evidence to support this assumption. The RN
J, Royle +5 more
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Current status of robotic partial nephrectomy (RPN)
BJU International, 2011What's known on the subject? and What does the study add? Nephron‐sparing surgery is now the gold standard for the treatment of small renal masses.
Eugene K, Cha +2 more
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RPN tuning strategy for model predictive control
Journal of Process Control, 2003Abstract A novel tuning strategy based on RPN for MIMO MPC is presented. The RPN indicates how potentially difficult it is for a given system to achieve the desired performance robustly. It reflects both the attainable performance of a system and its degree of directionality.
J.O. Trierweiler, L.A. Farina
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RPN Prototype Alignment For Domain Adaptive Object Detector
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021Recent years have witnessed great progress of object detection. However, due to the domain shift problem, applying the knowledge of an object detector learned from one specific domain to another one often suffers severe performance degradation. Most existing methods adopt feature alignment either on the backbone network or instance classifier to ...
Yixin Zhang, Zilei Wang, Yushi Mao
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