Results 31 to 40 of about 540,179 (287)
SUM: Sequential Scene Understanding and Manipulation
In order to perform autonomous sequential manipulation tasks, perception in cluttered scenes remains a critical challenge for robots. In this paper, we propose a probabilistic approach for robust sequential scene estimation and manipulation - Sequential ...
Jenkins, Odest Chadwicke +3 more
core +1 more source
Sequential Point Estimation of the Location Parameter in the Location-Scale Family of Non-Regular Distributions [PDF]
In this paper, we consider sequential estimation of the location parameter based on the midrange in the presence of an unknown scale parameter when the underlying distribution has a bounded support.
Koike Ken-ichi, 小池 健一
core +1 more source
Sequential feedback scheme outperforms the parallel scheme for Hamiltonian parameter estimation
Measurement and estimation of parameters are essential for science and engineering, where the main quest is to find out the highest achievable precision with given resources and design schemes to attain it. Two schemes, the sequential feedback scheme and
Yuan, Haidong
core +1 more source
Estimation of gravity wave parameters to alleviate the delay in the Antarctic vortex breakup in general circulation models [PDF]
The impact of optimal parameters in a non-orographic gravity wave drag parameterization on the middle atmosphere circulation of the Southern hemisphere is examined. Optimal parameters are estimated using a data assimilation technique.
Pulido, Manuel Arturo +1 more
core +1 more source
Three State Estimation Fusion Methods Based on the Characteristic Function Filtering
There are three state estimation fusion methods for a class of strong nonlinear measurement systems, based on the characteristic function filter, namely the centralized filter, parallel filter, and sequential filter. Under ideal communication conditions,
Yiran Yuan +3 more
doaj +1 more source
Iterative Sequential Estimation for Multiple Structured Signals
In this paper, we address the signal estimation problem for a linear combination of multiple structured models, which is widely employed in the passive and/or active sensing systems to characterize the behaviors, for example, jamming and multipath ...
Zhimei Hao +3 more
doaj +1 more source
Bayesian Sequential Estimation
For fixed $\theta$, let $X_1, X_2, \cdots$ be a sequence of independent identically distributed random variables having density $f_\theta(x)$. Using a sequential Bayes decision theoretic approach we consider the problem of estimating any strictly monotone function $g(\theta)$ when the error incurred by a wrong estimate is measured by squared error loss
openaire +2 more sources
Experimental Designs for Binary Data in Switching Measurements on Superconducting Josephson Junctions [PDF]
We study the optimal design of switching measurements of small Josephson junction circuits which operate in the macroscopic quantum tunnelling regime. Starting from the D-optimality criterion we derive the optimal design for the estimation of the unknown
Abdelbasit K. M. +16 more
core +3 more sources
Summary The literature on sequential estimation is reviewed, with special reference to inverse binomial sampling, double sampling, and asymptotic theory. An approximate distribution for the sample size is found for a certain type of sequential sampling rule, in which a cumulative sum of independent random variables all having the same ...
openaire +2 more sources
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source

