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This paper presents a framework based on geographic information system (GIS) and regression tree analysis of optimized recreational trail location for flexible, user-defined input parameters.
It presents a framework based on Bayes networks to use available data at multiple levels of complexity (i.e. components, subsystem, etc).
The paper presents a framework based on tigther refining a systems engineering and requirements engineering approach that, combined with a set-based engineering approach, allow for building of re-useable and adaptable engineering methods.
To deal effectively with these problems, this paper presents a framework based on three design principles (transferability, modularity, and scalability), along with the geographic information system (GIS -based episode reconstruction toolkit (GIS -basedd on this framepisodeforeconstructiontoolkitn of activity episodes from GERTdata.
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Ye et al. [83] present a framework based on resource reservation.
Saxena et al. [11] presented a framework based on principal component analysis and maximum variance unfolding for reducing linear or nonlinear objectives.
Hu, Xie, Lin, Wang, and Yu in "Clustering Embedded Approach for Efficient Network Inference" focus on the problem of analyzing information diffusion in social networks and present a framework based on clustering techniques.
Here we present a framework, based on the Biochemical Algorithms Library (BALL) [1], that provides a broad range of functionality, covering all common areas of interest for virtual screening and molecular docking.
Multiple VM Migration becomes very complex due to many reasons like insufficient resources at destination server and concurrent migration of VM Ye et al. [83] present a framework based on resource reservation.
This paper addresses this by presenting a framework based on the Analytical Hierarchy Process (AHP) that may be used to identify the most attractive storage mix for three scenarios: renewable integration, load shifting and power quality.
However, we have chosen here to build on earlier work, but not specifically on claims, by Olsen et al. (2003) and Evans and Stoddart (1990) to present a framework based on 'no free choice' and 'free choice'.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com