Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Nazanin Moradinasab"'
Autor:
Ryan Folks, Siny Tsang, Donald E. Brown, Zachary D. Blanks, Nazanin Moradinasab, Michael Mazzeffi, Bhiken I. Naik
Publikováno v:
BMC Anesthesiology, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background To investigate if intraoperative very short-term variability in blood pressure measured by sample entropy improves discrimination of postoperative acute kidney injury after noncardiac surgery. Methods Adult surgical patients under
Externí odkaz:
https://doaj.org/article/335ee42de0594da4baa1f43ed9dc454f
Autor:
Ronen Bar‐Yoseph, Shlomit Radom‐Aizik, Nicholas Coronato, Nazanin Moradinasab, Thomas J. Barstow, Annamarie Stehli, Don Brown, Dan M. Cooper
Publikováno v:
Physiological Reports, Vol 10, Iss 15, Pp n/a-n/a (2022)
Abstract Natural patterns of physical activity in youth are characterized by brief periods of exercise of varying intensity interspersed with rest. To better understand systemic physiologic response mechanisms in children and adolescents, we examined
Externí odkaz:
https://doaj.org/article/945586843bad446caec7c62927c157d6
Publikováno v:
Journal of Industrial Engineering and Management, Vol 10, Iss 5, Pp 887-918 (2017)
Purpose: Adjusted discrete Multi-Objective Invasive Weed Optimization (DMOIWO) algorithm, which uses fuzzy dominant approach for ordering, has been proposed to solve No-wait two-stage flexible flow shop scheduling problem. Design/methodology/approac
Externí odkaz:
https://doaj.org/article/fee89248be8d4e74bb93bdfaf7a0bd96
Autor:
Navya Annapareddy, Kara Fallin, Ryan Folks, William Jarrard, Marcel Durieux, Nazanin Moradinasab, Bhiken Naik, Saurav Sengupta, Christian Ndaribitse, Donald Brown
Publikováno v:
2022 Systems and Information Engineering Design Symposium (SIEDS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::000723fdb5cef891c615a0eaeae184fe
https://doi.org/10.1109/sieds55548.2022.9799426
https://doi.org/10.1109/sieds55548.2022.9799426
Publikováno v:
Journal of Cleaner Production. 170:818-841
Petroleum Supply Chain is one of the most important and sophisticated managing missions in both developing and developed countries. Nowadays, environmental pollution is another critical factor in designing the petroleum supply chain. This importance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f8475b6b499b210c6dc386552be5852
https://doi.org/10.1016/j.jclepro.2017.08.114
https://doi.org/10.1016/j.jclepro.2017.08.114
Autor:
Tilak Shah, Rasoul Sali, Nazanin Moradinasab, Lubaina Ehsan, Donald E. Brown, Philip Fernandes, Sana Syed, Shan Guleria
Publikováno v:
Journal of Personalized Medicine
Volume 10
Issue 4
Journal of Personalized Medicine, Vol 10, Iss 141, p 141 (2020)
Volume 10
Issue 4
Journal of Personalized Medicine, Vol 10, Iss 141, p 141 (2020)
The gold standard of histopathology for the diagnosis of Barrett&rsquo
s esophagus (BE) is hindered by inter-observer variability among gastrointestinal pathologists. Deep learning-based approaches have shown promising results in the analysis of
s esophagus (BE) is hindered by inter-observer variability among gastrointestinal pathologists. Deep learning-based approaches have shown promising results in the analysis of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58901a18c6483df0dc33b87aac0c1088
https://doi.org/10.3390/jpm10040141
https://doi.org/10.3390/jpm10040141
Publikováno v:
Web of Science
Engineering, Technology & Applied Science Research, Vol 7, Iss 6 (2017)
Engineering, Technology & Applied Science Research, Vol 7, Iss 6 (2017)
The generalized traveling salesman problem (GTSP) deals with finding the minimum-cost tour in a clustered set of cities. In this problem, the traveler is interested in finding the best path that goes through all clusters. As this problem is NP-hard,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a52b7565b316711d3b3ee07d48f8f1d9
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 25:207-225
This article studies a no-wait two-stage flexible flow shop scheduling problem with setup times aiming to minimize the total completion time. The problem is solved using an adaptive imperialist competitive algorithm (AICA) and genetic algorithm (GA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a015a61ada2919c408c511ab5bbcc96b
https://doi.org/10.1080/0952813x.2012.682752
https://doi.org/10.1080/0952813x.2012.682752
Publikováno v:
International Journal of Management Science and Engineering Management. 6:421-430
The no-wait two stage flexible manufacturing problem is an important problem in flow shops. This paper investigates the no-wait two stage flexible flow shop with a minimizing mean flow time performance measure. Six meta-heuristic algorithms are devel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a43f49a5959ff12f2b25273799522f5f
https://doi.org/10.1080/17509653.2011.10671192
https://doi.org/10.1080/17509653.2011.10671192
Autor:
Folks, Ryan1, Tsang, Siny1, Brown, Donald E.2, Blanks, Zachary D.2, Moradinasab, Nazanin3, Mazzeffi, Michael1, Naik, Bhiken I.1,4 bin4n@uvahealth.org
Publikováno v:
BMC Anesthesiology. 10/31/2024, Vol. 24 Issue 1, p1-10. 10p.