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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 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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Object Detection Based on DenseNet and RPN
2019 Chinese Control Conference (CCC), 2019Object detection algorithm based on depth model has achieved state-of-the-art results on various challenging benchmarks. However, the large amount of parameters of depth model means a large amount of calculation. This seriously limits the practical application of object detection algorithm, especially on embedded devices with limited computing power ...
Jing Li +4 more
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Scale-Aware RPN for Vehicle Detection
2018In this paper, we develop a scale-aware Region Proposal Network (RPN) model to address the problem of vehicle detection in challenging situations. Our model introduces two built in sub-networks which detect vehicles with scales from disjoint ranges. Therefore, the model is capable of training the specialized sub-networks for large-scale and small-scale
Lu Ding +4 more
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SPAM Detection: Naïve Bayesian Classification and RPN Expression-Based LGP Approaches Compared [PDF]
Advances in Intelligent Systems and Computing, 2016 An investigation is performed of a machine learning algorithm and the Bayesian classifier in the spam-filtering context. The paper shows the advantage of the use of Reverse Polish Notation (RPN) expressions with feature extraction compared to the ...
Clyde Meli +2 more
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RPN tuning strategy for model predictive control
IFAC Postprint Volumes IPPV / International Federation of Automatic Control, 2001Abstract 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.
Jorge O Trierweiler
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[Implementation of RPNs in psychiatry and mental health].
Soins. Psychiatrie, 2023Advanced practice nursing, a profession created in 2018, is expanding rapidly in France. In order for it to be operational, but also to facilitate its deployment and implementation, changes in the legislative and regulatory texts concerning all the mentions are still necessary. For advanced practice nurses with a diploma in psychiatry and mental health,
Tatiana, Henriot, Valery, Clouet
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Pedestrian Detection with RPN and Boosted Forest
2019Although recent deep learning object detectors have shown excellent performance for general object detection, they have limited success in detecting pedestrians; therefore, previous leading pedestrian detectors were generally hybrid methods combining handcrafted and deep convolutional features.
Liang Lin +3 more
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Microaneurysm Detection With Multiscale Attention and Trident RPN
International Journal of Imaging Systems and TechnologyABSTRACTDiabetic retinopathy (DR) is the most serious and common complication of diabetes. Microaneurysm (MA) detection is of great importance for DR screening by providing the earliest indicator of presence of DR. Extremely small size of MAs, low color contrast in fundus images, and the interference from blood vessels and other lesions with similar ...
Jiawen Lin +3 more
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