Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Andrija Petrović"'
Publikováno v:
Mathematics, Vol 11, Iss 23, p 4782 (2023)
This study delves into the heightened efficiency and accuracy of 11 deep learning models classifying 11 dynamograph classes in the oil production sector. Introducing a novel framework with the Grad–CAM method, we address the “black box” issue,
Externí odkaz:
https://doaj.org/article/9b7ab75560ef4dfbb5def6a338822035
Publikováno v:
Buildings, Vol 13, Iss 8, p 1960 (2023)
Granulated blast furnace slag (GBFS) is a byproduct of the iron production process. The objective of this study is to determine the effects of ground granulated blast furnace slag (GGBFS), used as a replacement admixture (0–40 wt.%) for ordinary Po
Externí odkaz:
https://doaj.org/article/502b363f7e45431cb774068b27475ec1
Publikováno v:
Mathematics, Vol 11, Iss 3, p 604 (2023)
We propose introducing fairness constraints to one of the most famous multi-criteria decision-making methods, the analytic hierarchy process (AHP). We offer a solution that guarantees consistency while respecting legally binding fairness constraints
Externí odkaz:
https://doaj.org/article/2fd73f56e5104f29b23d31314e3bb5fc
This book provides a view of where the field of morphology has been and where it is today within a particular theoretical framework, gathering up new and representative work in morphology by both eminent and emerging scholars, and touching on a very
Autor:
Boris Delibašić, Draženko Glavić, Sandro Radovanović, Andrija Petrović, Marina Milenković, Milija Suknović
Publikováno v:
Decision Support Systems XIII. Decision Support Systems in An Uncertain World: The Contribution of Digital Twins ISBN: 9783031325335
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16ce96985aeaea1ff044b2ce11dbfb41
https://doi.org/10.1007/978-3-031-32534-2_1
https://doi.org/10.1007/978-3-031-32534-2_1
Publikováno v:
Autonomous Agents and Multi-Agent Systems. 37
Publikováno v:
Engineering Applications of Artificial Intelligence. 119:105683
Publikováno v:
Expert Systems with Applications. 212:118728
Gaussian conditional random fields (GCRF) are a well-known used structured model for continuous outputs that uses multiple unstructured predictors to form its features and at the same time exploits dependence structure among outputs, which is provide
Publikováno v:
Applied Soft Computing. 133:109893
Autor:
Andrija Petrovic, Zoran Jeremic
Publikováno v:
International Journal for Quality Research, Vol 9, Iss 4, Pp 705-718 (2015)
Modern tendency to make flexible mechanism in order to stop climate change developed new kind of market based on emission trading system. Market as regulatory mechanism is capable to stop further pollution of the environment and achieve primary goal
Externí odkaz:
https://doaj.org/article/aa7b02ae462d49eb96be2a30435c0a78