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The present work proposes a new methodology for efficient input variable selection by integrating NCSC and group Lasso.
In this article we expand and develop the authors' recent proposed methodology for efficient stochastic superparameterization algorithms for geophysical turbulence.
This paper presents a methodology for efficient shape parametrisation for automatic design optimisation using a partial differential equation (PDE) formulation.
This paper presents a new design methodology for efficient conceptual design of complex systems involving multidisciplinary and computationally intensive analysis with large number of design variables.
Then, we attempt to develop a methodology for efficient construction of the anisomorphic CFL diagrams for different constant values of probability of failure.
To overcome some of these limitations this research proposes a new methodology for efficient knowledge capture and effective management of the complete knowledge life cycle.
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The chapter explains that unattended installation scripts and server cloning provides two different methodologies for efficient server installations.
Methodologies for efficient software management in WSN need to be investigated for operating and maintaining large-scale sensor networks.
This paper proposes a systematic and rigorous methodology for more efficient and effective DR by applying and extending the Suh's well-known Theory of Axiomatic Design (TAD) into a Systematic Theory of Axiomatic design Review (STAR).
The methodology allows for efficient CFD simulations of fully submerged structures subjected to pure waves and combined wave current scenarios, under consideration of wave current interaction.
A methodology for the efficient solution of the optimization process is presented.
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