Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Marko Milojković"'
Publikováno v:
Facta Universitatis. Series: Mechanical Engineering, Vol 17, Iss 3, Pp 385-396 (2019)
A new class of cascade digital orthogonal filters of the Malmquist type based on bilinear transformation for mapping poles to zeroes and vice versa is presented in this paper. In a way, it is a generalization of the majority of the classical orthogon
Externí odkaz:
https://doaj.org/article/e1cda10a429545e5ab77e41762b42b28
Publikováno v:
Applied Sciences, Vol 12, Iss 6, p 3041 (2022)
Object recognition and classification as well as obstacle distance calculation are of the utmost importance in today’s autonomous driving systems. One such system designed to detect obstacle and track intrusion in railways is considered in this pap
Externí odkaz:
https://doaj.org/article/f77e140603fd4dc9b0a973b51157936b
Publikováno v:
Facta Universitatis, Series: Automatic Control and Robotics. 22
This paper presents an application of convolutional neural networks (CNN) in autonomous driving system, which represents the capacity of a vehicle to operate mostly or entirely autonomously, with or without human assistance. After basic introduction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9aa2e61503ab28cd598e60fe0a988922
https://doi.org/10.22190/fuacr230123001p
https://doi.org/10.22190/fuacr230123001p
Publikováno v:
IEEE Transactions on Cybernetics. 52:1221-1232
In this article, a new intelligent hybrid controller is proposed. The controller is based on the combination of the orthogonal endocrine neural network (OENN) and orthogonal endocrine ANFIS (OEANFIS). The orthogonal part of the controller consists of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4f1a47e82054944779fafee16a8955a
https://doi.org/10.1109/tcyb.2020.2998505
https://doi.org/10.1109/tcyb.2020.2998505
Autor:
Staniša Lj. Perić, Marko Milojković, Zoran Peric, Nikola Danković, Miroslav B. Milovanović, Andjela D. Djordjevic
Publikováno v:
Elektronika ir Elektrotechnika, Vol 27, Iss 2, Pp 4-10 (2021)
This paper considers a new design of model predictive control based on specific models in the form of adaptive orthogonal polynomial networks, built around a specially tailored basis of generalized orthogonal functions. Polynomial model has a single
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3383366a6ef50900bfac1afcbdbfa3fa
https://doi.org/10.5755/j02.eie.28780
https://doi.org/10.5755/j02.eie.28780
Publikováno v:
Mathematical and Computer Modelling of Dynamical Systems. 27:246-262
This paper presents a new method for modelling of dynamic systems by using specially designed orthogonal polynomial neural networks. These networks utilize the feature that the basis made of orthog...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86fad124a93465926d372b6cf20d9c4e
https://doi.org/10.1080/13873954.2021.1909069
https://doi.org/10.1080/13873954.2021.1909069
Publikováno v:
Acta Polytechnica Hungarica. 17:165-182
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be1af7171731f837b0f76c1f2e6d3ee0
https://doi.org/10.12700/aph.17.4.2020.4.9
https://doi.org/10.12700/aph.17.4.2020.4.9
Autor:
Dragana Božić, Željka Nenadović, Marija Petrović, Slaviša Stanković, Marko Milojković, Nataša Stanković Nedeljković, Ivica Dimkić, Ivana Cirkovic
Publikováno v:
Arhiv za higijenu rada i toksikologiju-Archives of Industrial Hygiene and Toxicology
Archives of Industrial Hygiene and Toxicology
Arhiv za higijenu rada i toksikologiju
Volume 71
Issue 3
Archives of Industrial Hygiene and Toxicology
Arhiv za higijenu rada i toksikologiju
Volume 71
Issue 3
Drug resistance of Pseudomonas aeruginosa is a leading problem in hospital infections. The aim of this study was to determine the best molecular genetic discrimination method for Pseudomonas spp. isolates among 94 outpatients and inpatients and see t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a98d1afab192fe462edf33401d6cd981
https://farfar.pharmacy.bg.ac.rs/bitstream/id/8360/Phenotypic_and_genetic_pub_2020.pdf
https://farfar.pharmacy.bg.ac.rs/bitstream/id/8360/Phenotypic_and_genetic_pub_2020.pdf
Autor:
Dragan Antić, Marko Milojković, Miodrag Spasic, Miroslav B. Milovanović, Staniša Lj. Perić, Saša S. Nikolić
Publikováno v:
Neural Networks. 84:80-90
A new intelligent hybrid structure used for online tuning of a PID controller is proposed in this paper. The structure is based on two adaptive neural networks, both with built-in Chebyshev orthogonal polynomials. First substructure network is a regu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80646d4e28d2669151fa06fe9905068c
https://doi.org/10.1016/j.neunet.2016.08.012
https://doi.org/10.1016/j.neunet.2016.08.012
Autor:
Saša S. Nikolić, Miroslav B. Milovanović, Staniša Lj. Perić, Darko Mitic, Dragan Antić, Marko Milojković
Publikováno v:
IEEE/ASME Transactions on Mechatronics. 21:754-764
This paper presents a new control method for nonlinear discrete-time systems, described by an input–output model which is based on a combination of quasi-sliding mode and neural networks. First, an input–output discrete-time quasi-sliding mode co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de652d90e14fe224e88ab6674c0fc1aa
https://doi.org/10.1109/tmech.2015.2492682
https://doi.org/10.1109/tmech.2015.2492682