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The overall objective of the study is developing an intelligent support system where physical prototyping and the needs for human involvement as instructors, data collectors and analysts during the user assessment studies are eliminated.
The aim of this study is developing a fuzzy model to selection the optimum mining method by using effective and major criteria and at the same time, taking subjective judgments of decision makers into consideration.
The aim of this study is developing a Monte Carlo simulation to selection the optimum mining method by using effective and major criteria and at the same time, taking subjective judgments of decision makers into consideration.
In this context, whereas genome-wide association study is developing as the reference QTL mapping method for human populations (Visscher et al. 2012; Li et al. 2012), most of the QTL referenced today in experimental or livestock species were mapped by linkage analysis approaches through F2 genetic crosses.
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The study is developed in two steps.
A case study is developed to validate the proposed method.
A case study is developed in two stages to test this hypothesis.
The study is developed on a sequence of two-state (0−1) Markov-dependent trials.
The case study is developed using the data from ISO New England.
The framework in this study is developed by Cai (2013) and will be introduced in the next section.
In contrast, the model in this study is developed using rate-based mass transfer approach in Aspen Plus®.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com