Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Tijana Kostic"'
Publikováno v:
Day 1 Tue, May 23, 2023.
Scarcity of water resources in UAE and affording a nonstop water supply for drilling operation was always a concern. The main objective of availing a fit for purpose solution was: Saving the underground water resources.Cost optimization:Saving the co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac63f0145de2ef20210d5ceccfb42472
https://doi.org/10.2118/214524-ms
https://doi.org/10.2118/214524-ms
Publikováno v:
Computer Science and Information Systems. 9:49-62
In this paper we present new evolutionary approach for solving the Routing and Carrier Selection Problem (RCSP). New encoding scheme is implemented with appropriate objective function. This approach in most cases keeps the feasibility of individuals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d49db8276785ade3f8fa3ece06405969
https://doi.org/10.2298/csis100425067k
https://doi.org/10.2298/csis100425067k
Autor:
Badar Al-Busafi, Mohammed Mehtar, Ramanujam Jeughale, Tijana Kostic, Pavel Marinescu, Mohamed Wajeeh Salman
Publikováno v:
Day 2 Tue, November 10, 2015.
Over the last several years, improved recovery, especially in depleted reservoirs, has prompted many research projects involving operators, service companies and academicians. Recent work on rock-brine-hydrocarbon interactions has demonstrated that c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9508efbafda77bda5bfa8e42f07ea3c
https://doi.org/10.2118/177936-ms
https://doi.org/10.2118/177936-ms
Publikováno v:
SIAM Journal on Imaging Sciences, vol 6, iss 4
Merkurjev, E; Kostić, T; & Bertozzi, AL. (2013). An MBO scheme on graphs for classification and image processing. SIAM Journal on Imaging Sciences, 6(4), 1903-1930. doi: 10.1137/120886935. UCLA: Retrieved from: http://www.escholarship.org/uc/item/61b423q4
Merkurjev, E; Kostić, T; & Bertozzi, AL. (2013). An MBO scheme on graphs for classification and image processing. SIAM Journal on Imaging Sciences, 6(4), 1903-1930. doi: 10.1137/120886935. UCLA: Retrieved from: http://www.escholarship.org/uc/item/61b423q4
In this paper we present a computationally efficient algorithm utilizing a fully or seminonlocal graph Laplacian for solving a wide range of learning problems in binary data classification and image processing. In their recent work [Multiscale Model.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bafb448d3e9c779a5559485deedc3144
https://escholarship.org/uc/item/61b423q4
https://escholarship.org/uc/item/61b423q4
Autor:
Andrea L. Bertozzi, Tijana Kostic
Publikováno v:
Journal of Scientific Computing. 54(2-3):513-530
Our goal is to estimate a probability density based on discrete point data via segmentation techniques. Since point data may represent certain activities, such as crime, our method can be successfully used for detecting regions of high activity. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58e2be385d7ce6cc9eb8e623566efee4