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We highlight potential novel methodologies for finding these targets that will require further development.
However, the plethora of Design Patterns and the lack of a unified structured repository that all Patterns can be found, motivated the need for the development of methodologies for finding and retrieving them from multiple data sources in a structured form.
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All that can be taught, therefore, is a methodology for finding innovative solutions.
To explain the implementation of proposed methodology for finding the optimal solution, calculations for only two cases viz.
This paper suggests a methodology for finding the best locations for new housing developments which use micro-renewable technologies.
The methodology for finding the confidence limits for the estimate has also been developed, again using data from real experimental samples.
This paper presents a methodology for finding close-to-optimal, in terms of launch mass minimization, design configurations for small unguided sounding rockets.
In addition, we define a new methodology for finding resource allocations that are guaranteed to have a non-zero probability of addressing the timing constraints of the system.
This paper reports the use of a logical and rational methodology for finding such antigens, this time as peptides derived from the Rv3587c membrane protein.
In this paper, we propose a heuristic method – based on the Greedy Randomized Adaptive Search Procedure, GRASP, methodology – for finding approximate solutions to this optimization problem.
The reliability-based topology optimization (RBTO) is a powerful and promising methodology for finding the optimum topologies with the uncertainties being explicitly considered, typically manifested by the use of reliability constraints.
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CEO of Professional Science Editing for Scientists @ prosciediting.com