Zobrazeno 1 - 10
of 34
pro vyhledávání: '"algorithm of estimation"'
Akademický článek
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Publikováno v:
Advances in Electrical and Electronic Engineering, Vol 14, Iss 3, Pp 254-266 (2016)
The paper presents an in situ parameter estimation method to determine the equivalent circuit parameters of the Synchronous Machines. The parameters of synchronous generator, both cylindrical rotor and salient pole rotor, are estimated based on the c
Externí odkaz:
https://doaj.org/article/9efa1a64384244039bc0977c540fe18b
Autor:
Subandijo Subandijo
Publikováno v:
ComTech, Vol 2, Iss 2, Pp 849-858 (2011)
Efficiency or the running time of an algorithm is usually calculated with time complexity or space complexity as a function of various inputs. It is common to estimate their complexity in the asymptotic sense, i.e., to estimate the complexity functio
Externí odkaz:
https://doaj.org/article/d3780ee5353041dbb42d962e889a9734
Autor:
Nurye Tessema
Most organizations throughout the world take the software development activity as a critical indicator for the success of the organization. Proper planning, design, and more realistic, effective estimation methods before the preliminary project devel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4230::4f77a98cea76cb65a0558f21c8c0e0a5
https://nadre.ethernet.edu.et/record/20754
https://nadre.ethernet.edu.et/record/20754
Publikováno v:
Problemi Ekonomiki, Iss 3, Pp 39-41 (2011)
In the article the considered questions of the methodical going are near the estimation of competitiveness of machine building complex of Ukraine. The algorithm of estimation of competitiveness of industries of engineer is developed.В статье
Externí odkaz:
https://doaj.org/article/690f8ed36cc9425a9918f23d584f6334
Publikováno v:
ECC
Typically, in the automotive field, classic estimation or filtering techniques (e.g. Least Squares, Kalman Filter) are used to characterize models. However, in scenarios in which there is a lack of data or some quantities are not available from CAN (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cf782e2c987e075b865d6372f8f805c
http://hdl.handle.net/11583/2752713
http://hdl.handle.net/11583/2752713
Publikováno v:
Beraha, M, Argiento, R, Møller, J & Guglielmi, A 2020, ' MCMC computations for Bayesian mixture models using repulsive point processes. ', arXiv.org (e-prints) . < https://arxiv.org/abs/2011.06444 >
Aalborg University
Aalborg University
Repulsive mixture models have recently gained popularity for Bayesian cluster detection. Compared to more traditional mixture models, repulsive mixture models produce a smaller number of well-separated clusters. The most commonly used methods for pos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c6aa74a7584f7017d628c0cef07adaf
Akademický článek
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Publikováno v:
VISIGRAPP (4: VISAPP)
The image processing pipeline of most contemporary digital cameras performs illumination estimation in order to remove the influence of illumination on image scene colors. In this paper an experiment is described that examines some of the basic prope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bde80b711e5a160a9f3b0dcb73c13e7
https://doi.org/10.5220/0007393701830190
https://doi.org/10.5220/0007393701830190
Autor:
Massimiliano Paltenghi, Alexander Medvedev, Nicola Latronico, Luca Merigo, Antonio Visioli, Zhaoyu Guo
This paper describes a database of synthetic patients for the use in estimation and control design in closed-loop anesthesia. The synthetic patients are represented by pharmacokinetic-pharmacodynamic (PKPD) Wiener models for the Depth of Anesthesia e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da2cf80479eb7a93941322a0b040a7ee
http://hdl.handle.net/11379/509982
http://hdl.handle.net/11379/509982