Results 51 to 60 of about 1,946,882 (294)
A Box Regularized Particle Filter for state estimation with severely ambiguous and non-linear measurements [PDF]
International audienceThe first stage in any control system is to be able to accurately estimate the system's state. However, some types of measurements are ambiguous (non-injective) in terms of state. Existing algorithms for such problems, such as Monte
Brusey, James +4 more
core +4 more sources
In this research, a new efficient method is introduced for model assessment of Solid Oxide Fuel Cell (SOFC) model using a new hybrid Elman Neural Network (ENN).
Hailong Jia, Bahman Taheri
doaj +1 more source
Fitting a function to time-dependent ensemble averaged data [PDF]
Time-dependent ensemble averages, i.e., trajectory-based averages of some observable, are of importance in many fields of science. A crucial objective when interpreting such data is to fit these averages (for instance, squared displacements) with a ...
Ambjornsson, Tobias +3 more
core +3 more sources
For optimization on large-scale data, exactly calculating its solution may be computationally difficulty because of the large size of the data. In this paper we consider subsampled optimization for fast approximating the exact solution. In this approach, one gets a surrogate dataset by sampling from the full data, and then obtains an approximate ...
Zhu, Rong, Jiang, Jiming
openaire +2 more sources
Optical Frequency Comb Noise Characterization Using Machine Learning
A novel tool, based on Bayesian filtering framework and expectation maximization algorithm, is numerically and experimentally demonstrated for accurate frequency comb noise characterization. The tool is statistically optimum in a mean-square-error-sense,
Brajato, Giovanni +3 more
core +1 more source
Ultrasound wave propagation through rough interfaces: Iterative methods [PDF]
Two iterative methods for the calculation of acoustic transmission through a rough interface\ud between two media are compared. The methods employ a continuous version of the conjugate\ud gradient technique.
Berg, P.M. van den +2 more
core +5 more sources
Collaborative prediction model of gas emission quantity was built by feature selection and supervised machine learning algorithm to improve the scientific and accurate prediction of gas emission quantity in the mining face.
Jie Zhou +5 more
doaj +1 more source
Bayesian off-line detection of multiple change-points corrupted by multiplicative noise : application to SAR image edge detection [PDF]
This paper addresses the problem of Bayesian off-line change-point detection in synthetic aperture radar images. The minimum mean square error and maximum a posteriori estimators of the changepoint positions are studied.
Andre-Obrecht +39 more
core +3 more sources
ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter +17 more
wiley +1 more source
A class of drift-implicit one-step schemes are proposed for the neutral stochastic delay differential equations (NSDDEs) driven by Poisson processes. A general framework for mean-square convergence of the methods is provided.
Lin Hu, Siqing Gan
doaj +1 more source

