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Pregled bibliografske jedinice broj: 1242549

Mathematical modeling of pipes production forecast based on polynomial regression analysis (PRA)


Shvachych, G.; Mamuzić, Ilija; Мoroz, B.; Aleksieiev, M.; Hulina, I.; Myronenko, M.
Mathematical modeling of pipes production forecast based on polynomial regression analysis (PRA) // Book of abstracts of the 16th International Symposium of Croatian Metallurgical Society - SHMD '2023, Materials and metallurgy (published in: Metalurgija 62 (2023) 2) / Mamuzić, Ilija (ur.).
Zagreb: Hrvatsko metalurško društvo, 2023. str. 328-328 (predavanje, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 1242549 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Mathematical modeling of pipes production forecast based on polynomial regression analysis (PRA)

Autori
Shvachych, G. ; Mamuzić, Ilija ; Мoroz, B. ; Aleksieiev, M. ; Hulina, I. ; Myronenko, M.

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of abstracts of the 16th International Symposium of Croatian Metallurgical Society - SHMD '2023, Materials and metallurgy (published in: Metalurgija 62 (2023) 2) / Mamuzić, Ilija - Zagreb : Hrvatsko metalurško društvo, 2023, 328-328

Skup
16th International Symposium of Croatian Metallurgical Society - SHMD '2023, Materials and metallurgy

Mjesto i datum
Zagreb, Hrvatska, 20.04.2023. - 21.04.2023

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Ukraine ; metallurgical plants ; pipe production ; polynomial regression analysis

Sažetak
The paper analyzes some indicators of the production activity of Ukraine’s metallurgical plants, which are under the auspices of Ukrtruboprom association for May-August 2022. Mathematical modeling of pipe production process forecast based on polynomial regression analysis was performed. The presented mathematical models provide adequate results for predicted indicators of economic activity of enterprises selected for analysis. The Russian military operations’ negative impact on the hostilities’ conduct in Ukraine is shown.

Izvorni jezik
Engleski

Znanstvena područja
Metalurgija



POVEZANOST RADA


Profili:

Avatar Url Ilija Mamuzic (autor)


Citiraj ovu publikaciju:

Shvachych, G.; Mamuzić, Ilija; Мoroz, B.; Aleksieiev, M.; Hulina, I.; Myronenko, M.
Mathematical modeling of pipes production forecast based on polynomial regression analysis (PRA) // Book of abstracts of the 16th International Symposium of Croatian Metallurgical Society - SHMD '2023, Materials and metallurgy (published in: Metalurgija 62 (2023) 2) / Mamuzić, Ilija (ur.).
Zagreb: Hrvatsko metalurško društvo, 2023. str. 328-328 (predavanje, međunarodna recenzija, sažetak, znanstveni)
Shvachych, G., Mamuzić, I., Мoroz, B., Aleksieiev, M., Hulina, I. & Myronenko, M. (2023) Mathematical modeling of pipes production forecast based on polynomial regression analysis (PRA). U: Mamuzić, I. (ur.)Book of abstracts of the 16th International Symposium of Croatian Metallurgical Society - SHMD '2023, Materials and metallurgy (published in: Metalurgija 62 (2023) 2).
@article{article, author = {Shvachych, G. and Mamuzi\'{c}, Ilija and Мoroz, B. and Aleksieiev, M. and Hulina, I. and Myronenko, M.}, editor = {Mamuzi\'{c}, I.}, year = {2023}, pages = {328-328}, keywords = {Ukraine, metallurgical plants, pipe production, polynomial regression analysis}, title = {Mathematical modeling of pipes production forecast based on polynomial regression analysis (PRA)}, keyword = {Ukraine, metallurgical plants, pipe production, polynomial regression analysis}, publisher = {Hrvatsko metalur\v{s}ko dru\v{s}tvo}, publisherplace = {Zagreb, Hrvatska} }
@article{article, author = {Shvachych, G. and Mamuzi\'{c}, Ilija and Мoroz, B. and Aleksieiev, M. and Hulina, I. and Myronenko, M.}, editor = {Mamuzi\'{c}, I.}, year = {2023}, pages = {328-328}, keywords = {Ukraine, metallurgical plants, pipe production, polynomial regression analysis}, title = {Mathematical modeling of pipes production forecast based on polynomial regression analysis (PRA)}, keyword = {Ukraine, metallurgical plants, pipe production, polynomial regression analysis}, publisher = {Hrvatsko metalur\v{s}ko dru\v{s}tvo}, publisherplace = {Zagreb, Hrvatska} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus





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