Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 15 of 15 for “"RPN"”.
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RPN-Toolbox : uma ferramenta para o desenvolvimento de estruturas de controle
… introduzir os principais pontos da metodologia RPN, um método sistemático que, através de índices baseados em sólidos fundamentos matemáticos, permite avaliar o projeto de controle como um todo. O índice RPN (Número de Desempenho Robusto) indica quão potencialmente difícil é, para um dado …
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Registered practical nurses’ (in post RPN-BScN education) experiences of nurse-to- nurse conflict in the workplace
… the experiences of nurse-to-nurse conflict of RPNs enrolled in a post RPN-Bachelor of Science in Nursing program. This study also explored how these experiences shaped their decision to return to school for a BScN to become Registered Nurses (RNs). Interpretative Phenomenological Analysis was …
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Depth aware RCNN
… that depend on region proposal networks (RPN) have achieved state-of-art results. As RPN is trained to share convolutional features with the actual classification layers in the network, features learned by the convolutional backbones may have subtle impact on the RPN. A successful approach …
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Confiabilidade e política de manutenção aplicadas a sistemas de máquinas de plataformas offshore
… of maintenance tasks, the Risk Priority Number (RPN), considered in FMECA (Failure Mode, Effect and Criticality Analysis), is used. To obtain the RPN value, three factors are necessary: occurrence, severity and detectability. The occurrence will be determined by two stochastic models: the Moment …
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Lactation Clinic: Improving Patient Lactation Support
… becomes operational. The Risk Priority Numbers (RPNs) from the analysis reveal the lack of use (RPN 50) and streamlining (RPN 20) as the top two risks associated with the implementation of the Lactation Clinic. In response to these findings, the Clinical Nurse Leader (CNL) has made suggestions …
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Condition Assessment, Indices, and Risk-based Decision-making for Public School Infrastructure Management
… the calculation of a risk priority number (RPN). Three schools were selected for a field pilot study to develop the accessibility, deterioration, detection, and RPN algorithms and evaluate for repeatability. The algorithms will provide a quantitative and consistent means for documenting the …
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Advanced neural networking and classification techniques for human brain tissues diagnoses: segmenting healthy, cancer affected and edema brain tissues
… is proposed segment the Region Proposal Network (RPN) by Faster R-CNN algorithm. Here, the concept of transfer learning is used during training. The proposed system helps to predict the correct type of tumor with better accuracy about 99%. and classifying by using Convolutional Neural Networks …
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Improving few-shot object detection by saving and hallucinating examples
… In this case, if the region proposal network (RPN) misses even one high intersection-over-union (IOU) training box, the classifier's model of how object appearance varies can be severely impacted. We use multiple distinct yet cooperating RPN's. Our RPN's are trained to be different, but not too …
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A FIS Risk Analysis Approach as a Tool to Prioritize Risks
… cases FMEA assigns same Risk Priority Number (RPN) to different risks irrespective of the severity, occurrence and detect ability scores. But FIS risk analysis tool gives a unique score to the risk event based on the expert's knowledge. Recent studies show a method, lean fuzzy bow-tie analysis …
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Quality Modeling And Improvement Of University Facilities Services Using Six-Sigma - A Case Study On Wayne State University Fpm Services
… identified through FMEA. A risk Priority Number (RPN) was assigned for each potential failure mode, and recommended actions to eliminate and control failure modes were developed in this process.</p>
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Research on 3D reconstruction based on 2D face images.
… 35% reduction in NME error accumulation over the RPN algorithm. Based on the pre-processing methods and residual structures we proposed, the experimental results have shown good performance on 3D reconstruction of faces. The end-to-end approach based on deep learning achieves better reconstruction …
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Guidelines to facilitate professional socialisation of learner nurses at public hospitals of Limpopo Province South Africa
… profession, registered professional nurses (RPN) are expected to socialize the learner nurses into the professional norms and values as well as emphasising the moral and ethical values of the profession. The process starts when the learner enters the profession and continues throughout the …
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Analytical Quality Control in Shipping Operation Using Six Sigma Principles
… and visibility of the Risk Priority Number (RPN) method. Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytical Network Process (ANP) methods are incorporated with Fuzzy logic and Evidential Reasoning (ER), for the very first time to generate a Key Performance Indicators …
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Learning Semantic Information from Multimodal Data using Deep Neural Networks
… with an in-network Region Proposal Network (RPN) and detect single or multiple regions for a phrase query. Our framework is independent of external proposal generation systems and without additional information, it can develop an understanding of the query phrase in relation to the image to …
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Computer vision based corn kernel quality evaluation: Traditional versus machine learning
Corn kernel quality evaluation is a trivial task for experienced farmers and agriculture researchers, but it becomes tricky if we try to develop a computer vision based automatic solution. In this thesis, we present two approaches for this problem, briefly introduce the data sets corresponding to …