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When leaders understand how the effectiveness of EI design factors can vary according to these three characteristics, they can customize their programs to be as productive as possible.
A searching algorithm exploiting Expected Improvement (EI) design points is introduced to efficiently enhance the quality of the initial Kriging model for the wing planform design.
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EI designed the study, performed the analyses, and wrote the manuscript.
EI designed the study, acquired data, and reviewed the manuscript.
OH, EI and CvdS were responsible for the research question, OH and EI designed the study.
Second, how to design EI schemes that account for the presence of asymmetric (private) information among multiple strategic entities?
The EI algorithm is designed to estimate a global optimum of a function with a restricted budget of function evaluations.
A prototype orthogonal time-of-flight (oTOF) mass spectrometer equipped with a thermal ionization (TI) source and an electron impact (EI) source was designed and constructed.
EI and SOB designed the experiments.
BFAO, EI and SH designed and implemented the PM2.5 Risk Assessment methodology; WLJ and BFAO the statistical and sensitivity analysis; PA contributed with the air pollution and meteorological data.
Subsequently, we describe the design of EI-Search and EI-Clustering, and test their efficiency and accuracy.
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