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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
exaly +2 more sources
Systematic Review: Bridging the Gap in RPN‐to‐RN Transitions
Journal of Nursing Scholarship, 2015AbstractPurposeTo review the evidence examining the influences of successful education and professional role transition for registered practical nurses (RPNs) pursuing a baccalaureate degree in nursing (BScN) and registered nurse (RN) licensure through RPN‐to‐RN bridging programs.DesignSystematic review of papers published between 1995 and 2014 that ...
Grace, Suva +6 more
exaly +3 more sources
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 +2 more
openaire +1 more source
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
openaire +2 more sources

