Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mateusz Zaborski"'
Autor:
Jacek Lach, Szczepan Wiecha, Daniel Śliż, Szymon Price, Mateusz Zaborski, Igor Cieśliński, Marek Postuła, Beat Knechtle, Artur Mamcarz
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Maximal heart rate (HRmax) is associated mostly with age, but age alone explains the variance in HRmax to a limited degree and may not be adequate to predict HRmax in certain groups. The present study was carried out on 3374 healthy Caucasian, Polish
Externí odkaz:
https://doaj.org/article/a27ac2718ef2496f9b214c8f799b6041
Autor:
Mateusz Zaborski, Jacek Mańdziuk
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783031234910
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50330ac7a92b1a3336f15b8fd037c064
https://doi.org/10.1007/978-3-031-23492-7_23
https://doi.org/10.1007/978-3-031-23492-7_23
Publikováno v:
Foundations of Computing and Decision Sciences, Vol 45, Iss 3, Pp 233-254 (2020)
This paper presents characteristics of model-based optimization methods utilized within the Generalized Self-Adapting Particle Swarm Optimization (GA– PSO) – a hybrid global optimization framework proposed by the authors. GAPSO has been designed
Autor:
Mateusz Zaborski, Jacek Mańdziuk
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031147135
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c58b9a5a00a3995a76502b7888e895d0
https://doi.org/10.1007/978-3-031-14714-2_11
https://doi.org/10.1007/978-3-031-14714-2_11
Publikováno v:
Applied Soft Computing. 131:109722
Publikováno v:
Applied Soft Computing. 131:109774
Autor:
Mateusz Zaborski, Michał Okulewicz
Publikováno v:
GECCO Companion
In this paper we evaluate the SHADE-LM algorithm on the BBOB noiseless testbed. The algorithm hybridizes the SHADE algorithm with a model based optimization. This hybridization is performed in a transparent manner for both optimizers, with SHADE havi
Publikováno v:
IEEE Sensors Journal. 16:6310-6316
The most popular systems for automatic sign language recognition are based on vision. They are user-friendly, but very sensitive to changes in regard to recording conditions. This paper presents a description of the construction of a more robust syst
Publikováno v:
Parallel Problem Solving from Nature – PPSN XV ISBN: 9783319992525
PPSN (1)
PPSN (1)
This paper presents a generalized view on the family of swarm optimization algorithms. Paper focuses on a few distinct variants of the Particle Swarm Optimization and also incorporates one type of Differential Evolution algorithm as a particle’s be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f6c60ddb0006e52425d972d5b6362f4
https://doi.org/10.1007/978-3-319-99253-2_3
https://doi.org/10.1007/978-3-319-99253-2_3