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pro vyhledávání: '"Konstantinos Kofidis"'
Publikováno v:
Romanian Journal of Petroleum & Gas Technology, Vol 4, Iss 1, Pp 133-148 (2023)
This study aims to investigate the use of various deep learning techniques to predict future residential natural gas consumption in Italy, with a particular emphasis on the correlation between gas consumption and temperature. Four models were evaluat
Externí odkaz:
https://doaj.org/article/2bb0b0f0300f4d769fdcb9aded19126f
Autor:
Cătălina-Lucia Cocianu, Cristian Răzvan Uscatu, Konstantinos Kofidis, Sorin Muraru, Alin Gabriel Văduva
Publikováno v:
Electronics; Volume 12; Issue 7; Pages: 1663
Cardiovascular diseases (CVDs) are the leading cause of death globally. Detecting this kind of disease represents the principal concern of many scientists, and techniques belonging to various fields have been developed to attain accurate predictions.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cfa25786d7bd2aabfaa924342233486