OzU Theses & Dissertations: Recent submissions
Now showing items 121-140 of 516
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Two-level influence maximization problem under deterministic linear threshold model
Data-driven decision-making strategies can make online marketing more efficient and help companies reach a larger number of customers using limited resources. In this respect, the Influence Maximization Problem searches ... -
Mathematical modeling and math heuristic approach for shift selection, lot sizing and worker assignment problem of Vestel
The simultaneous lot sizing and scheduling studies do not implement a worker assignment problem in the literature. This study provides a solution for worker assignment problems with overtime constraints of the Government. ... -
Speaker adaptation with deep learning for text-to-speech synthesis systems
End-to-end (e2e) speech synthesis systems have become popular with the recent introduction of letter-to-spectrogram conversion systems, such as Tacotron, that use encoder-decoder-based neural architectures. Even though ... -
Explorations on inverse reinforcement learning for the analysis of motor control and cognitive decision making mechanisms of the brain
Reinforcement Learning is a framework for generating optimal policies given a task and a reward/punishment structure. Likewise, Inverse Reinforcement Learning, as the name suggests, is used for recovering the reasoning ... -
Negotiation-based decentralized conflict resolution in multi-agent path finding
This thesis addresses the problem of Multi-Agent Path Finding problem where multiple agents aim to reach their destination in a grid world without any colli sion. It aims to provide a solution achieving good trade-off ... -
Electrical and financial analyses of ev charging stations by statistical and probabilistic simulation
Increasing environmental pollution with the increase of vehicles that have internal combustion engines has led people to alternative methods due to the transportation sector's share in environmental pollution. Last decade, ... -
Tele-operation and control of robotic surgical assistants for suturing task
In a robot-assisted surgical systems, optimizations in tele-operation can lower the surgeon's physical and mental exhaustion and cognitive load, as well as the operation's completion time. As a result, it can considerably ... -
A blockchain based security mechanism for emergency healthcare systems
Electronic health records (EHRs) play a crucial role in today's healthcare industry, these records include sensitive and private healthcare data assets which are prone to the breach of security and confidentiality. These ... -
FX markets co-movement dynamics and global factors: Evidence from emerging markets
Emerging markets are particularly different from developed markets as they possess vulnerability, easily disturbed by financial crises, and not completely liberalized. Some global shocks such as Covid-19 and 2018 global ... -
Effect of embodiment in human-agent negotiations
With the current advancement in artificial intelligence, intelligent systems interacting with humans are becoming more prevalent in our lives. One of the challenges is building socially intelligent agents who can effectively ... -
An efficient algorithm for disparity map compression based on spatial correlations and its low-cost hardware architecture
This thesis proposes a low-cost Disparity Map (DM) compression algorithm and its hardware architecture for high resolution and high frame rate applications, where limited computational capacity and power consumption make ... -
Experimental investigation of pointing errors on drone-based FSO systems
Airborne free-space optical (FSO) communication links can be efficiently used for backhaul/fronthaul needs of future cellular networks. Unlike terrestrial FSO links where a fixed connection between two buildings is considered, ... -
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" ... -
Analyzing the benefits and challenges of common data environment implementation in BIM-based projects: Impacts on project performance
The construction industry is an information- and communication-dependent industry which requires a collaborative working environment among several stakeholders. The amount of produced data is being excessive considering ... -
Experiences of fathers raising a child with autism spectrum disorder: A qualitative study
The purpose of this study was to describe the experiences of fathers who have an only-child with Autism Spectrum Disorder (ASD) using Ambiguous Loss framework. Sample was consisted of 10 fathers, one father being the pilot ... -
Children's emotional states during Covid-19 outbreak: Contributions of parenting stress and child temperament
Children's emotional regulation and dysregulation emerge through the interaction between the child's individual (temperament) and the environmental (e.g., parenting stress) characteristics. The aim of the current study was ... -
Ways of coping in emerging adulthood: The role of positive development indicators and basic psychological need satisfaction
The aim of the present study was to examine the relationship between coping resources that emerging adults have and their coping strategies as mediated by their stress appraisals. A path model was tested which links emerging ... -
A dyadic analysis of the link between couples' perfectionism and attachment behaviors
Recently, perfectionism has been a more important construct due to its links with adverse individual as well as relational outcomes. In this regard, perfectionism's association with people's actions, particularly with the ... -
Coming out experiences of lesbian and gay youth and their parents: A qualitative study in Turkey
This study is aimed to explore deeply the experiences of lesbian and gay youth in coming out process. Ten families from Turkey who participated included mothers and lesbian/gay youth ranging in ages of 21 to 33. In ... -
Two-stage broadband class-AB high power amplifier design using gan hemt technology
Modern radio systems need broadband, high efficiency power amplifiers to cover a wide frequency spectrum with reliable system performance. Linearity is another critical parameter in power amplifier design and there is a ...
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