Pregled bibliografske jedinice broj: 1164292
Algorithmic methods for parallel modeling and visualization of dynamic processes and machine learning systems
Algorithmic methods for parallel modeling and visualization of dynamic processes and machine learning systems // Book of abstracts of the 15th International Symposium of Croatian Metallurgical Society - SHMD '2022, Materials and metallurgy (published in: Metalurgija 61 (2022) 2) / Mamuzić, Ilija (ur.).
Zagreb: Hrvatsko metalurško društvo, 2022. str. 575-575 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1164292 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Algorithmic methods for parallel modeling and visualization of dynamic processes and machine learning systems
Autori
Dmitrieva, O. ; Nazarova, I. ; Guskova, V. ; Mamuzić, Ilija
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of abstracts of the 15th International Symposium of Croatian Metallurgical Society - SHMD '2022, Materials and metallurgy (published in: Metalurgija 61 (2022) 2)
/ Mamuzić, Ilija - Zagreb : Hrvatsko metalurško društvo, 2022, 575-575
Skup
15th International Symposium of Croatian Metallurgical Society (SHMD '22)
Mjesto i datum
Zagreb, Hrvatska, 22.03.2022. - 23.03.2022
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
algorithmic methods ; parallel modelling ; visualization ; machine learning systems
Sažetak
Research is devoted to improving the efficiency of design and development of working environments for modeling and data mining. The high dimension of such models, the presence of many variables affecting the result, the choice of initial conditions require a long execution time and the use of optimization approaches to solve the problem. Providing highly efficient parallel computations in modeling and visualization of complex dynamical systems covers a new systemic organization of the use of parallel computing resources, the development of new and adaptation of existing computational methods to new parallel architectures.
Izvorni jezik
Engleski
Znanstvena područja
Metalurgija
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus