Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Javad Alikhani Koupaei"'
Publikováno v:
Alexandria Engineering Journal, Vol 57, Iss 4, Pp 3641-3652 (2018)
The present study aims at integrating the Particle Swarm Optimization (PSO) algorithm with Kansa’s method based on meshless collocation methods in order to determine a good shape parameter of Radial Basis Function (RBF) for solving partial differen
Externí odkaz:
https://doaj.org/article/f0db9d724ed94713a5908c4fe3221bc7
Autor:
Marjan Firouznia, Javad Alikhani Koupaei, Karim Faez, Giuseppe A. Trunfio, Hamidreza Amindavar
Publikováno v:
Digital Signal Processing. 134:103933
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7c3a5b2742cb1f2dd450aab04060161
https://doi.org/10.1016/j.dsp.2023.103933
https://doi.org/10.1016/j.dsp.2023.103933
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 12:9953-9976
This paper presents a novel chaotic augmented Lagrange method for solving constrained optimization problems. The algorithm employs chaotic maps to reduce the search space and to get the best parameters for handling the problem constraints. Then, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b10a7cf37e829f082671ed21c8dc39b
https://doi.org/10.1007/s12652-020-02746-w
https://doi.org/10.1007/s12652-020-02746-w
Publikováno v:
Alexandria Engineering Journal, Vol 57, Iss 4, Pp 3641-3652 (2018)
The present study aims at integrating the Particle Swarm Optimization (PSO) algorithm with Kansa’s method based on meshless collocation methods in order to determine a good shape parameter of Radial Basis Function (RBF) for solving partial differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9aace46986177b2672a86203d609a4e6
https://doi.org/10.1016/j.aej.2017.11.024
https://doi.org/10.1016/j.aej.2017.11.024
Publikováno v:
Image and Vision Computing. 75:11-20
In this paper, a three-step-ahead prediction method is introduced using chaotic dynamics for state estimation in object tracking. The nonlinear movement of an object is embedded into a low-dimensional state space to utilize the short-term predictions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd5e3554ec7d8b650c1965a356a00755
https://doi.org/10.1016/j.imavis.2018.03.005
https://doi.org/10.1016/j.imavis.2018.03.005
Publikováno v:
Journal of Visual Communication and Image Representation. 53:1-12
In this paper, a chaotic particle filter method is introduced to improve the performance of particle filter based on chaos theory. The methodology of the algorithm includes two steps. First, the global motion estimation is used to predict target posi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b7c662096d5cf8f5c1027f4dc0598fb
https://doi.org/10.1016/j.jvcir.2018.02.014
https://doi.org/10.1016/j.jvcir.2018.02.014
Autor:
Karim Faez, Marjan Firouznia, Eleonora Bilotta, Javad Alikhani Koupaei, Hamidreza Amindavar, Pietro Pantano
Publikováno v:
Digital Signal Processing. 70:94-104
In this paper, multi-step ahead prediction method for object tracking based on chaos theory is introduced. The chaos theory is used to preserve the information of object's movement and to model uncertainty and nonlinearity of movement in video sequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11be3c47e292d2e72a36108d756cbe15
https://doi.org/10.1016/j.dsp.2017.07.024
https://doi.org/10.1016/j.dsp.2017.07.024
Publikováno v:
Applied Soft Computing. 13:2896-2905
Optimal allocation of the sensor in a wireless sensor network (WSN) is required to have a satisfactory fault diagnosis within the system. In fact, the sensor nodes in the network should be located in an arrangement to maximize the failure diagnosis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::156d940d68dbae8df75d378d907b831b
https://doi.org/10.1016/j.asoc.2012.04.026
https://doi.org/10.1016/j.asoc.2012.04.026