Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Mohammad Zhalechian"'
Autor:
Mohammad Zhalechian, MS, Mark P. Van Oyen, PhD, Mariel S. Lavieri, PhD, Carlos Gustavo De Moraes, MD, PhD, Christopher A. Girkin, MD, Massimo A. Fazio, PhD, Robert N. Weinreb, MD, Christopher Bowd, PhD, Jeffrey M. Liebmann, MD, Linda M. Zangwill, PhD, Christopher A. Andrews, PhD, Joshua D. Stein, MD, MS
Publikováno v:
Ophthalmology Science, Vol 2, Iss 1, Pp 100097- (2022)
Purpose: To assess whether the predictive accuracy of machine learning algorithms using Kalman filtering for forecasting future values of global indices on perimetry can be enhanced by adding global retinal nerve fiber layer (RNFL) data and whether m
Externí odkaz:
https://doaj.org/article/14e525165773494f8d8623230cca9c3d
Publikováno v:
International Journal of Reliability, Risk and Safety: Theory and Application. 5:77-84
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Computers & Operations Research. 108:166-181
This paper presents a comprehensive and novel mathematical model to address the scheduling problem of inpatient surgeries. The interaction quality and compatibility level of surgical team members can have a significant impact on the quality and safet
Autor:
Mohammad, Zhalechian, Mark P, Van Oyen, Mariel S, Lavieri, Carlos Gustavo, De Moraes, Christopher A, Girkin, Massimo A, Fazio, Robert N, Weinreb, Christopher, Bowd, Jeffrey M, Liebmann, Linda M, Zangwill, Christopher A, Andrews, Joshua D, Stein
Publikováno v:
Ophthalmology science. 2(1)
To assess whether the predictive accuracy of machine learning algorithms using Kalman filtering for forecasting future values of global indices on perimetry can be enhanced by adding global retinal nerve fiber layer (RNFL) data and whether model perf
Publikováno v:
SSRN Electronic Journal.
Joint online learning and resource allocation is a fundamental problem inherent in many applications. In a general setting, heterogeneous customers arrive sequentially, each of which can be allocated to a resource in an online fashion. Customers stoc
Publikováno v:
Engineering Applications of Artificial Intelligence. 62:1-16
In this paper, we present a new multi-objective model for a hub location problem under uncertainty. This model simultaneously considers economic, responsiveness and social aspects in designing a hub-and-spoke network. An M/M/c queuing system is used
Publikováno v:
Applied Soft Computing. 52:699-713
Display Omitted Presenting a new multi-objective mathematical model for a p-hub location problem.Considering environmental aspects of noise pollution caused by vehicles.Considering different transportation modes.Applying an Me-based possibilistic pro
Publikováno v:
International Transactions in Operational Research. 25:157-189
In this paper, a biobjective programming model is developed to address the hospital evacuation problem under uncertainty. It aims to concurrently minimize the total evacuation time and the total weighted number of unevacuated patients in each period.
Publikováno v:
Transportation Research Part E: Logistics and Transportation Review
Transportation Research Part E: Logistics and Transportation Review, Elsevier, 2016, 89, pp.182-214. ⟨10.1016/j.tre.2016.02.011⟩
Transportation Research Part E: Logistics and Transportation Review, Elsevier, 2016, 89, pp.182-214. ⟨10.1016/j.tre.2016.02.011⟩
Considering economic, environmental and social impacts, this paper presents a new sustainable closed-loop location-routing-inventory model under mixed uncertainty. The environmental impacts of CO2 emissions, fuel consumption, wasted energy and the so