Results 1 to 10 of about 21,182,977 (288)
Optimal Viewpoint Assistance for Cooperative Manipulation Using D-Optimality [PDF]
SensorsThis 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]
PLoS ONE, 2015 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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ON D-OPTIMAL CHEMICAL BALANCE WEIGHING DESIGNS [PDF]
Acta Universitatis Lodziensis. Folia Oeconomica, 2015 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]
Songklanakarin Journal of Science and Technology (SJST), 2020 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
IEEE Access, 2021 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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Journal of Statistical Software, 2020 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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D-optimal and nearly D-optimal exact designs for binary response on the ball
Statistical Papers, 2023 AbstractIn this paper the results of Radloff and Schwabe (Stat Papers 60:165–177, 2019) will be extended for a special class of symmetrical intensity functions. This includes binary response models with logit and probit link. To evaluate the position and the weights of the two non-degenerated orbits on thek-dimensional ball usually a system of three ...
Martin Radloff, Rainer Schwabe
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Optimal Geometries for AOA Localization in the Bayesian Sense
Sensors, 2022 This paper considers the optimal sensor placement problem for angle-of-arrival (AOA) target localization in the 2D plane with a Gaussian prior. Optimal sensor locations are analytically determined for a single AOA sensor using the D- and A-optimality ...
Kutluyil Dogancay
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New Results on D‐Optimal Matrices [PDF]
Journal of Combinatorial Designs, 2012 AbstractWe construct a number of new supplementary difference sets (SDS) with v odd and . In particular, these give rise to D‐optimal matrices of the four new orders 206, 242, 262, 482, constructed here for the first time.
Đoković, Dragomir Ž. +1 more
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Using Machine Learning for Quantum Annealing Accuracy Prediction
Algorithms, 2021 Quantum annealers, such as the device built by D-Wave Systems, Inc., offer a way to compute solutions of NP-hard problems that can be expressed in Ising or quadratic unconstrained binary optimization (QUBO) form.
Aaron Barbosa +3 more
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