Browsing Master's Theses by Title
Now showing items 64-83 of 454
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Computational approaches to brain mechanisms of action recognition and emotion
(2015-08)Through evolution living beings have gained unique features to deal with apparently easy but computationally expensive problems such as mate selection, learning sensorimotor skills and decision making. Thus, understanding ... -
Computational investigations of bio-compatible metal organic frameworks (bio-MOFs) for adsorption-based uremic toxin separation
Polymeric membranes in dialysis machines are currently used to separate uremic toxins from blood of chronic kidney patients. However, polymeric membranes can filter only small water-soluble uremic toxins such as urea and ... -
Computational investigations of metal organic frameworks and covalent organic frameworks for gas storage and gas separation applications
(2019-07-09)Ordered crystalline microporous materials including metal organic frameworks (MOFs), zeolite imidazolate frameworks (ZIFs), and covalent organic frameworks (COFs) have emerged as strong candidates for gas storage and gas ... -
The contributions of child temperament, parenting stress, and bedtime rountines to children's sleep behaviors during the Covid-19 pandemic
The current study examined the direct and indirect contributions of children’s temperament (reactivity, persistence, and rhythmicity), parenting stress, and bedtime routines to Turkish children’s sleep behaviors during the ... -
The contributions of intolerance of uncertainty, resilience, and coping strategies on emerging adults’ future career anxiety and test anxiety
The purpose of the current study was to examine the indirect effect of resilience and certain coping strategies (seeking social problem-solving solving coping, avoidance) on associations between emerging adults’ intolerance ... -
Coordinated inventory planning for humanitarian relief agencies
(2016-07)Pre-positioning relief supplies in strategic locations around the world is essential for effective disaster response, especially during the critical 72 hours immediately following the disaster. Most of the existing studies ... -
Cost minimization in function-as-a-service computing
Cost in Function-as-a-Service computing is influenced by a number of factors. One of these factors is the amount of memory reserved during the deployment of serverless functions. Reservation of an excessive amount increases ... -
The costs and benefits of turning data into information using big data systems
(2014-08)This thesis explains problems of and solutions for storing and processing big volumes and streaming types of data in a cost-e ective way for enterprise companies. There are several problems like operational, infrastructural ... -
Creating an evacuation plan during an emergency by coordinating vehicles
(2018-10)As disaster relief operations required quick and e ective service, especially evacuating victims from disaster area will be more problematic. In this paper, the problem is about evacuating the people who need service after ... -
A custom-design atmospheric channel emulator for the performance evaluation of free space optical communication systems
(2017-08)The properties of atmospheric chamber and measurement methods that are used in this system are explained and analyzed in detail. We present our own custom design atmospheric channel emulator for FSO system evaluations and ... -
Decomposing time series data via mixed integer programming
(2020-01-13)Decomposing time series into seasonality, trend, and remainder reveals underlying insights to be used in forecasting and anomaly detection. Although there are several decomposition methods, no method guarantees all of the ... -
A decomposition-based metaheuristic approach for solving the rapid needs assessment routing problem
(2021-01-18)This study proposes a decomposition-based tabu search algorithm for a multi-cover routing problem (MCRP), which aims to classify and evaluate the impacts of the disaster in different sites and the needs of different community ... -
Deep reinforcement learning approach for trading automation in the stock market
Deep Reinforcement Learning (DRL) algorithms can scale to previously intractable problems. The automation of profit generation in the stock market is possible using DRL, by combining the financial assets price "prediction" ... -
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 ... -
Design and characterization of continuous glucose monitoring sensor
The main objective of this thesis is the development and the elaboration of a low cost continuous glucose monitor. This thesis describes the design of miniaturized continuous glucose monitoring sensor based on two needles. ... -
Design and construction of the fundamental tools for single atom experiments
Neutral atoms are one of the most promising systems for quantum information and quantum engineering, in general. Full and efficient control over cold atoms and their interactions with light has been a challenging and ... -
Design and development of torsion spring based series elastic actuator with nested encoders for wearable exoskeleton robot
his thesis proposes a series elastic actuator design to power an assistive exoskele ton for the paraplegic or stroke patient whom incapable to walk or provide any motion at lower extremity portion of the body. Commonly, ... -
Design and implementation of a data stream management system with advanced complex event processing capabilities
(2013-06)The world has seen proliferation of data stream applications over the last years. These applications include computer network monitoring, Radio Frequency Identication (RFID)-based supply chain and traffic management systems, ... -
Design and implementation of a robust control scheme for a smart joint
(2017-01)The invention of biomedical tools has made medical treatments more convenient; however, manual insertion of these tools requires years of practice and erroneous insertion into the body may cause ruptures and bleeding. ... -
Design and modeling of a parallel robot for ultrasound guided percutaneous needle interventions
(2015-08)Percutaneous needle operations need precise positioning in order to collect samples for diagnosis. Due to their robustness, accuracy robotic systems started to take place in medical procedures. Research that have been done ...
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