Browsing OzU Theses & Dissertations by Title
Now showing items 399-418 of 516
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The relationship between social dominance orientation, relationship power and dyadic adjustment: Examining actor-partner effects
This study examined the direct actor and partner effects between social dominance orientation and dyadic adjustment, as well as, indirect effects between social dominance orientation and dyadic adjustment via relationship ... -
Relay-assisted OFDM-based visible light communications
(2016-08)In this study, a relay-assisted visible light communication (VLC) system where an intermediate light source cooperates with the main light source is investigated. Specifically, two light sources in an office space; one is ... -
Representation of the unrepresented: disability in children's picture books
(2019-01)This study examines the representation of disability in pre-school children’s fiction picture books. It aims to investigate and identify the characteristics of how disability is represented in order to raise awareness about ... -
Reproducing field failures based on semi-formal failure scenario descriptions
(2015-06)Due to the increasing size and complexity of software systems, it becomes hard to test these systems exhaustively. As a result, some faults can be left undetected. Undetected faults can lead to failures in deployed systems. ... -
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 ... -
A review of BIM-based energy analysis tools for leed certification process
(2020-01-06)In the recent years, there has been a growing interest among designers and owners to use systems developed to assess building performance with the intention of achieving sustainability in the construction industry. Estimating ... -
Rheology modifying agents : a key technology developed by using microorgsnisms
(2018-08)Recent development in concrete technology enabled the design of highly flowable mixes with improved workability. These advanced mixes require incorporation of fine materials or viscosity modifying agents (VMA) to reduce ... -
Risk-calibrated evidential classifiers
(2020-01-17)In some applications, intelligent agents rely on classifiers in order to make their decisions and accuracy of their predictions may play a significant role in performing their tasks successfully. Although deep neural ... -
Risk-driven model-based testing
(2018-05)Software is becoming larger and more complex in consumer electronics products. As a result, testing these products for reliability is becoming a major challenge. Traditional and manual testing activities are not effective ... -
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 ... -
A robust longitudinal model for song popularity: a cross-cultural study
(2021-08-16)Usage of new generation music streaming platforms such as Spotify and Apple Music has increased rapidly in the last years. Understanding the music preferences of the user base is valuable for these firms, translating into ... -
Robust scheduling for parallel machines with sequence dependent setup times and uncertain breakdowns
(2017-08)In this study, machine scheduling activities in the plastic injection production facility of a company competing in electronic sector is investigated. The company designs the products and picks order from customers for ... -
A robust voltage control method for universal ev battery charge llc resonant converters
In this study, a novel control method for LLC resonant converter with wide output voltage range and constant switching frequency is proposed targeting wide range of Electric Vehicle (EV) battery charger standards. In ... -
Robust whole-body control for legged robots
This thesis aims to propose a robust whole-body locomotion controller for legged robots. To this end, it offers the centroidal momentum observer control algorithm, which could be a very useful tool for providing robust ... -
The role of common factors in pivotal moments in couple and family therapy
(2019-08)The aim of the current study is to investigate the role of common factors specific to CFT in the pivotal moments of CFT sessions. Participants of the study are 10 practicing couple and family therapists from Ozyegin ... -
The role of differentation of self and attachment anxiety in the association between family of origin functioning and couple relationship quality
(2019-07)The aim of this study is to investigate the association between family of origin (FOO) functioning and couple relationship quality based on the concepts of Bowen’s family systems theory. The indirect effects of differentiation ... -
The role of maternal mentalization in mothers' emotional availability and toddlers' attachment security
Secure attachment to a primary caregiver in early childhood is related with positive child outcomes in the short- and long-run. The formation of secure attachment is influenced by maternal cognitive and behavioral ... -
The roles of attachment behaviors and conflict resolution styles in relationship satisfaction: a comparison of long-distance and geographically close romantic relationships
The present study investigated how people in long-distance relationships (LDRs) and geographically close relationships (GCRs) differ in perceiving attachment behaviors and dyadic coping skills, using conflict resolution ... -
The roles of coparenting and child routines on children's social-emotional competence
The current study's main purpose was to examine the contributions of coparenting quality and child routines to children's social-emotional competence during the COVID-19. The current study also aimed to investigate the ... -
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 ...
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