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Statistical Design of Experiments: An introductory case study for polymer composites manufacturing applications [PDF]
Statistical design of experiments (DoE) aims to develop a near efficient design while minimising the number of experiments required. This is an optimal approach especially when there is a need to investigate multiple variables.
Botha Natasha +3 more
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Notes on Selected Optimal Weighing Designs
In this paper, some problems related to the construction of highly D‑efficient spring balance weighing designs are presented. We give some conditions determining the relations between the parameters of such designs and construction examples.
Małgorzata Graczyk, Bronisław Ceranka
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In this paper, some issues regarding the efficiency of spring balance weighing designs for a selected class are presented. We give some conditions determining the relations between the parameters of such designs and construction examples.
Małgorzata Graczyk, Bronisław Ceranka
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Selected Remarks on Highly D‑efficient Spring Balance Weighing Designs
Here, we consider a new construction method of determining highly D-efficient spring balance weighing designs in classes in which a D-optimal design does not exist.
Małgorzata Graczyk, Bronisław Ceranka
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Video classification researches have recently attracted attention in the fields of temporal modeling and efficient 3D convolutional architectures. However, the temporal modeling methods are not efficient, and there is little interest in how to deal with ...
Youngwan Lee +3 more
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D-Optimal Design for a Causal Structure for Completely Randomized and Random Blocked Experiments
Most experimental design literature on causal inference focuses on establishing a causal relationship between variables, but there is no literature on how to identify a design that results in the optimal parameter estimates for a structural equation ...
Zaher Kmail, Kent Eskridge
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d-Mannose is an attractive functional sugar that exhibits many physiological benefits on human health. The demand for low-calorie sugars and sweeteners in foods are increasingly available on the market.
Hao Wu +8 more
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Two-dimensional (2-D) semiconductors are emerging as strong contenders for the future of Angstrom technology nodes. Their potential lies in enhanced device scaling and energy-efficient switching compared to traditional bulk semiconductors like Si, Ge ...
Keshari Nandan +3 more
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Designs for the simultaneous inference of concentration–response curves
Background An important problem in toxicology in the context of gene expression data is the simultaneous inference of a large number of concentration–response relationships.
Leonie Schürmeyer +2 more
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An Insightful Resemblance between Ancient Egyptian Miniatures and Current Digital Information Models [PDF]
Architects always search for new means of describing and communicating their design ideas, and 3-D models found to be from the most informative means for this purpose.
Mohamed Said Abdou +2 more
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