Results 171 to 180 of about 904,121 (199)

Linear log-likelihood ratio (L ³ R) algorithm for spectral target detection

SPIE Proceedings, 2011
The potential of a new class of detection algorithms is demonstrated on an object of practical interest. The continuum fusion (CF) [1] methodology is applied to a linear subspace model. A new algorithm results from first invoking a fusion interpretation of a conventional GLR test and then modifying it with CF methods. Usual performance is enhanced in
Brian J. Daniel, Alan P. Schaum
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Mie scattering calculation of B-R and F-R algorithms

Annual Meeting Optical Society of America, 1988
The A n of Mie scattering coefficients can be calculated by backward recurrence through a continued fraction technique,1 but extra terms are needed to obtain a stabilized A n value; thus forward recurrence is still preferred if the terms are needed before it becomes unstabilized. Using both forward and backward recurrence to study
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Short, medium and long term forecasting of time series using the L-Co-R algorithm

Neurocomputing, 2014
This paper describes the coevolutionary algorithm L-Co-R (Lags COevolving with Radial Basis Function Neural Networks - RBFNs), and analyzes its performance in the forecasting of time series in the short, medium and long terms. The method allows the coevolution, in a single process, of the RBFNs as the time series models, as well as the set of lags to ...
E. Parras-Gutierrez, V.M. Rivas, M. Garcia-Arenas, M.J. del Jesus   +3 more
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Unitary root-MUSIC based on tensor mode-R algorithm for multidimensional sinusoidal frequency estimation without pairing parameters

Multidimensional Systems and Signal Processing, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chaopu Hu, Yuntao Wu, Longting Huang, Ge Yan   +3 more
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A BB&R algorithm for minimizing total tardiness on a single machine with sequence dependent setup times

Journal of Global Optimization, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sewell, Edward C., Sauppe, Jason J., Morrison, David R., Jacobson, Sheldon H., Kao, Gio K.   +4 more
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On the Load–Unload (L–U) and Force–Release (F–R) Algorithms for Simulating Brittle Fracture Processes via Lattice Models

International Journal of Damage Mechanics, 2011
General summaries on the load–unload and force–release methods indicate that the two methods are efficient for different-charactered quasi-static failures; therefore, it is important to choose the right one for different applications. Then we take, as an example, the case where the release of the ruptured element's internal force is infinitely slower ...
Liu, Jinxing, El Sayed, Tamer S.
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Three-step N–R algorithm for the maximum-likelihood estimation of the general extreme values distribution parameters

Advances in Engineering Software, 2008
First, starting out with the magnitudes of both the scale and location parameters given by the method of moments (MOMs), and assuming they are constants, the root of the single equation formed by equating the partial derivative of the log-likelihood function (LLF) with respect to the shape parameter (a) to zero is solved, @?LLF/@?a=0.
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Algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection in the Netherlands: an open-label, nationwide, stepped-wedge cluster-randomised trial

Lancet, The, 2022
Marc Besselink, Mark J Arntz, Otto M Van Delden   +2 more
exaly  

The Arithmetic Optimization Algorithm

Computer Methods in Applied Mechanics and Engineering, 2021
Laith Mohammad Abualigah, Ali H Diabat, Seyedali Mirjalili   +2 more
exaly  

What influences algorithmic decision-making? A systematic literature review on algorithm aversion

Technological Forecasting and Social Change, 2022
Hasan Mahmud, Najmul Islam, Kari Smolander   +2 more
exaly