Results 1 to 10 of about 13,560,800 (313)
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
openaire +3 more sources
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
doaj +1 more source
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
doaj +1 more source
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
openaire +3 more sources
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
doaj +1 more source
Being Uncertain in Chromatographic Calibration—Some Unobvious Details in Experimental Design
Molecules, 2021 This is an introductory tutorial and review about the uncertainty problem in chromatographic calibration. It emphasizes some unobvious, but important details influencing errors in the calibration curve estimation, uncertainty in prediction, as well as ...
Łukasz Komsta +2 more
doaj +1 more source