Results 1 to 10 of about 24,603 (322)
Optimal Viewpoint Assistance for Cooperative Manipulation Using D-Optimality [PDF]
This study proposes a D-optimality-based viewpoint selection method to improve visual assistance for a manipulator by optimizing camera placement. The approach maximizes the information gained from visual observations, reducing uncertainty in object ...
Kyosuke Kameyama +2 more
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Temporal Data Set Reduction Based on D-Optimality for Quantitative FLIM-FRET Imaging. [PDF]
Fluorescence lifetime imaging (FLIM) when paired with Förster resonance energy transfer (FLIM-FRET) enables the monitoring of nanoscale interactions in living biological samples.
Travis Omer, Xavier Intes, Juergen Hahn
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Rancangan D-Optimal Model Gompertz dengan Maple [PDF]
Gompertz model is used in many areas including biological growth studies, animal and husbandry, chemistry, and agricultural. Locally D-optimal designs for Gompertz models with three parameters is investigated.
Tatik Widiharih, Budi Warsito
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D-optimal plans in observational studies [PDF]
This paper investigates the use of Design of Experiments in observational studies in order to select informative observations and features for classification. D-optimal plans are searched for in existing data and based on these plans the variables most relevant for classification are determined.
Pumplün, Constanze +3 more
openaire +6 more sources
Computing exact $D$-optimal designs by mixed integer second-order cone programming [PDF]
Let the design of an experiment be represented by an $s$-dimensional vector $\mathbf {w}$ of weights with nonnegative components. Let the quality of $\mathbf {w}$ for the estimation of the parameters of the statistical model be measured by the criterion ...
Guillaume Sagnol, Radoslav Harman
openalex +3 more sources
ON D-OPTIMAL CHEMICAL BALANCE WEIGHING DESIGNS [PDF]
The paper deals with the problem of determining the chemical balance weighing designs satisfying the criterion of D-optimality under assumption that the measurement errors are equal correlated and they have the same variances.
Bronisław Ceranka, Małgorzata Graczyk
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A weighted D-optimality criterion for constructing model-robust designs in the presence of block effects [PDF]
It is generally known that blocking can reduce unexplained variation, and in response surface designs block sizes can be pre-specified. This paper proposes a novel way of weighting D-optimality criteria obtained from all possible models to construct ...
Peang-or Yeesa +2 more
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Effect of Objective Function on Data-Driven Greedy Sparse Sensor Optimization
The problem of selecting an optimal set of sensors estimating a high-dimensional data is considered. Objective functions based on D-, A-, and E-optimality criteria of optimal design are adopted to greedy methods, that maximize the determinant, minimize ...
Kumi Nakai +4 more
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D-optimal design of the additive mixture model with multi-response
This paper proposes the D-optimal design for the additive mixture model with two-response, which is linear model with no interaction terms. The optimality was validated by using the general equivalence theorem, and the corresponding weights are found ...
Zheng Gong, Xiaoyuan Zhu, Chongqi Zhang
doaj +1 more source
We describe the R package acebayes and demonstrate its use to find Bayesian optimal experimental designs. A decision-theoretic approach is adopted, with the optimal design maximizing an expected utility.
Antony M. Overstall +2 more
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