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The methodology, called risk-based maintenance (RBM) is based on integrating a reliability approach and a risk assessment strategy to obtain an optimum maintenance schedule.
This paper proposes a detailed framework based on integrating a number of different methodological strands from the literature.
In this paper we present a novel methodology for modeling engineered and other systems based on integrating a set of component models that are accessible as "model-as-a-service" components within a cloud platform.
The strategy is based on integrating a genome scan to identify QTLs linked to clinical disease phenotypes and subtraits in a cross between the CIA-susceptible DBA1/J and resistant FVB/NJ mouse strains.
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The relay model using a UDC, which is designed to facilitate the investigation and evaluation of the protective relay, is based on integrating six functions into a single model.
The technical approach is based on integrating SysML modeling tools with a process integration and design optimization framework.
The approach is based on integrating Petri subnet models within a general Petri Net model for a manufacturing system environment.
The procedure is based on integrating the LARES algorithm with a generalized representation of the control function.
Furthermore, the ratios of FER in the FA vs. outside the FA in the synergids are estimated based on integrating the GFP signal over a ROI.
Radivojac et al. (2013) concluded that simple sequence analysis methods such as BLAST perform poorly, while more sophisticated methods based on integrating diverse data types are a substantial boon.
To address these challenges, we propose an approach based on integrating automatic text mining and network analysis methods to extract known disease genes and to predict unknown disease genes, which can be good candidates for experimental study.
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