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Return prediction in turkish stock market via machine learning
In this study I compare machine learning methods for predicting the stock returns of individual Turkish stocks listed in the Istanbul Stock Exchange (Borsa Istanbul). As the main machine learning model I use the Instrumented ...
Implementing artificial neural network based gap acceptance models in the simulation model of a traffic circle in SUMO
The impact of various operational and design alternatives at roundabouts and traffic circles can be evaluated using microscopic simulation tools. Most microscopic simulation softwares utilize default underlying models for ...
Determinants of liquidity adequacy ratio: An empirical study on Turkish banks
Liquidity and liquidity risk is a phenomenon that has important consequences in the management of banks. In addition, liquidity risk has an important role in banking crises. With the new regulations created, liquidity ...
Metaheuristic approaches for maximum blood collection problem
Thanks to recent technological and medical advances, blood components can now be extracted from whole blood after a donation. One of such components is the platelet, which has a wide range of uses in medical fields, including ...
Demand and supply planning for Covid-19 vaccine in Turkey with an anti-vaccine survey
The Covid-19 virus, which affects many people, continues in a very contagious state. Vaccination is necessary to end this pandemic period, which everyone wants to end as soon as possible. The studies in the literature ...
Scheduling and routing of chronic dialysis patients in the aftermath of a disaster
Disasters have devastating effects on patients with chronic diseases who need regular treatments to preserve their health. In this thesis, we focus on developing effective, fast and joint solution methodologies to support ...
Reducing open vial wastage with lateral transshipment in COVID-19 vaccine administration
After the discovery and production of vaccines for the immunization against COVID-19 pandemic, mass vaccination programs are launched across the world. One of the main challenges faced during the COVID-19 mass vaccination ...
Rolling look-ahead approaches for optimal classification trees
Classification trees have gained tremendous attention in machine learning applications due to their inherently interpretable nature. Current state-of-the-art formulations for learning optimal binary classification trees ...
Set-covering based heuristic approaches for the problems from the printing industry
In this thesis, we focus on two different planning production problems coming from the printing industry. The first problem is the label printing problem and the second one is a variant of the cover printing problem. In ...
An applicable approach to automate customer complaints
Customer complaint management is critical and time-consuming process for institutions. For an effective management and increased customer satisfaction, developing an instant and automated reply mechanism is essential. This ...
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