Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Camur, Mustafa Can"'
As global supply chains and freight volumes grow, the U.S. faces escalating transportation demands. The heavy reliance on road transport, coupled with the underutilization of the railway system, results in congested highways, prolonged transportation
Externí odkaz:
http://arxiv.org/abs/2408.02768
Autor:
Tupayachi, Jose, Xu, Haowen, Omitaomu, Olufemi A., Camur, Mustafa Can, Sharmin, Aliza, Li, Xueping
The incorporation of Artificial Intelligence (AI) models into various optimization systems is on the rise. Yet, addressing complex urban and environmental management problems normally requires in-depth domain science and informatics expertise. This e
Externí odkaz:
http://arxiv.org/abs/2405.19255
Centrality metrics have become a popular concept in network science and optimization. Over the years, centrality has been used to assign importance and identify influential elements in various settings, including transportation, infrastructure, biolo
Externí odkaz:
http://arxiv.org/abs/2401.05235
Autor:
Camur, Mustafa Can, Tseng, Chin-Yuan, Thanos, Aristotelis E., White, Chelsea C., Yund, Walter, Iakovou, Eleftherios
COVID-19 resulted in some of the largest supply chain disruptions in recent history. To mitigate the impact of future disruptions, we propose an integrated hybrid simulation framework to couple nonstationary demand signals from an event like COVID-19
Externí odkaz:
http://arxiv.org/abs/2305.00086
The COVID 19 pandemic and ongoing political and regional conflicts have a highly detrimental impact on the global supply chain, causing significant delays in logistics operations and international shipments. One of the most pressing concerns is the u
Externí odkaz:
http://arxiv.org/abs/2304.14902
Publikováno v:
In Expert Systems With Applications 1 August 2024 247
Autor:
Camur, Mustafa Can, Bollapragada, Srinivas, Thanos, Aristotelis E., Dulgeroglu, Onur, Gemici-Ozkan, Banu
Publikováno v:
In Expert Systems With Applications 1 November 2024 253
In this work, we propose a novel centrality metric, referred to as star centrality, which incorporates information from the closed neighborhood of a node, rather than solely from the node itself, when calculating its topological importance. More spec
Externí odkaz:
http://arxiv.org/abs/1708.00574
Autor:
Vogiatzis, Chrysafis1 (AUTHOR), Camur, Mustafa Can2 (AUTHOR)
Publikováno v:
INFORMS Journal on Computing. Fall2019, Vol. 31 Issue 4, p703-718. 16p.