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A stochastic optimization model for designing last Mile relief networks
(Informs, 2016-08)
In this study, we introduce a distribution network design problem that determines the locations and capacities of the relief distribution points in the last mile network, while considering demand- and network-related ...
Stage: stereotypical trust assessment through graph extraction
(Wiley, 2016-02)
Bootstrapping trust assessment where there is little or no evidence regarding a subject is a significant challenge for existing trust and reputation systems. When direct or indirect evidence is absent, existing approaches ...
An investigation into fluid flow and heat transfer of high frequency synthetic jets for electronics cooling
(2016-04)
Modern electronics have been decreasing in size for decades, so their cooling systems must continually improve in efficiency too. In particular, compactness is vital, which is challenging because typical thermal management ...
Robust estimation of term structure and implied volatility in emerging markets
(2016-07)
Despite powerful advances in interest rate curve modeling for data-rich countries in the last 30 years, comparatively little attention has been paid to the key practicalproblem of estimation of the term structure of interest ...
Three essays on the behavior of equity market returns
(2016-12)
The first chapter of this thesis analyzes return comovements phenomena known as correlation asymmetry. The phenomena has its two manifests: asymmetric correlations, referring to stock return correlations being higher during ...
Pricing decisions in a strategic single retailer/dual suppliers setting under order size constraints
(Informa Group, 2016)
In this paper, we study a duopolistic market of suppliers competing for the business of a retailer. The retailer sets the order cycle and quantities from each supplier to minimize its annual costs. Different from other ...
A profit-driven Artificial Neural Network (ANN) with applications to fraud detection and direct marketing
(Elsevier, 2016-01-26)
The rapid growth in data capture and computational power has led to an increasing focus on data-driven research. So far, most of the research is focused on predictive modeling using statistical optimization, while profit ...
Development of the calibration scheme and system integration of the Ozyegin biopsy robot (OBR)
(2016-08)
Imaging systems can fail to visualize cancerous tissues for proper diagnosis. Needle based procedures, like biopsies, increase the chances of accurate diagnosis of tumors. These procedures also have applications in minimally ...
A chance constraint based multi-item production planning model using simulation optimization
(IEEE, 2016)
We consider a single stage multi-item production-inventory system under stochastic demand. We had previously proposed a production planning model integrating ideas from forecast evolution and inventory theory to plan work ...
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