Rolling system design using evolutionary sequential process optimisation [PDF]
, 2008 The design of a rolling system is a multistage process optimization problem involving sequential relationship between consecutive stages. This relationship is peculiar to sequential processes in which the output stock of one stage serves as the input ...
Tiwari, Ashutosh +2 more
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A Comprehensive Probabilistic Framework to Learn Air Data from Surface Pressure Measurements
International Journal of Aerospace Engineering, 2015 Use of probabilistic techniques has been demonstrated to learn air data parameters from surface pressure measurements. Integration of numerical models with wind tunnel data and sequential experiment design of wind tunnel runs has been demonstrated in the
Ankur Srivastava, Andrew J. Meade
doaj +1 more source
Statistical Quality Control: Acceptance Sampling Plans in the Light of Fuzzy Mathematics
Journal of Statistical Theory and Applications (JSTA), 2023 Statistical quality control is a productivity enhancing and regulatory technique with three factors––Management, Methods and Mathematics. More precisely, if we want to properly design a self-regulating system for quality, we have to look to the field of ...
Surajit Bhattacharyya
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STATISTICAL OPTIMIZATION OF CURDLAN PRODUCTION BY LOCAL EGYPTIAN AGROBACTERIUM ISOLATES [PDF]
Al-Azhar Journal of Pharmaceutical Sciences, 2012 Curdlan is a linear D-glucans, belongs to the class known as beta (1, 3) - D -glucan macromolecules, Curdlan gum is a neutral polysaccharide was discovered by Dr.
islam El-Sehemy
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Exploring the design applications of key emerging materials from natural sciences through a design ideation workshop [PDF]
, 2023 10th Congress of the International Association of Societies of Design Research (IASDR 2023) 9-13 October 2023, Milan, Italy202405 bcchVersion of ...
Wang, X +15 more
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A Comparison of Ballistic Resistance Testing Techniques in the Department of Defense
IEEE Access, 2014 Ballistic resistance testing is conducted in the Department of Defense (DoD) to estimate the probability that a projectile will perforate the armor of a system under test.
Thomas H. Johnson +3 more
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Trials, 2022 Background Our randomized controlled clinical trial will explore the potential of bazedoxifene plus conjugated estrogen to modulate breast tissue-based risk biomarkers as a surrogate for breast cancer risk reduction.
Byron J. Gajewski +5 more
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Sequential stopping for high-throughput experiments [PDF]
, 2013 In high-throughput experiments, the sample size is typically chosen informally. Most formal sample-size calculations depend critically on prior knowledge.
Müller, Peter, Rossell, David
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SMCTC : sequential Monte Carlo in C++ [PDF]
, 2009 Sequential Monte Carlo methods are a very general class of Monte Carlo methods for sampling from sequences of distributions. Simple examples of these algorithms are used very widely in the tracking and signal processing literature.
Johansen, Adam M., Adam M. Johansen
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A sequential Monte Carlo algorithm to incorporate model uncertainty in Bayesian sequential design [PDF]
, 2014 Here we present a sequential Monte Carlo (SMC) algorithm that can be used for any one-at-a-time Bayesian sequential design problem in the presence of model uncertainty where discrete data are encountered.
Pettitt, Anthony N. +2 more
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