Yayın tarihi için Ph.D. Theses listeleme

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  • Bayesian approaches for privacy preserving data sharing 
    Ermiş, Beyza. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    In this thesis, we focus on the data fusion problem where we have heterogeneous data which is collected from di↵erent sources and stored in the form of matrices and higher-order tensors and propose coupled matrix and tensor ...
  • Workload orchestration for multi-tier multi-access edge computing systems 
    Sönmez, Çağatay. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Edge computing is a broad concept covering a variety of computing technologies such as cloudlet-based computing, Fog Computing, Mobile Cloud Computing (MCC), and Multi-Access Edge Computing (MEC). All these computing ...
  • Developing a comprehensive framework for sentiment analysis in Turkish 
    Aydın, Cem Rıfkı. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    In this thesis, we developed a comprehensive framework for sentiment analysis that takes its many aspects into account mainly for Turkish. We have also proposed several approaches specific to sentiment analysis in English ...
  • Stress detection and management in daily life using wearable sensors 
    Can, Yekta Said. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Stress has become an integral part of our modern society. Researchers investi gated ways to cope with it to alleviate its negative effects on human health, society and economy. At this point, widespread usage of smartphones, ...
  • Optimization of next generation solar-powered radio access networks 
    Pamuklu, Turgay. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Due to the incontrovertible effects of global warming, society grows its sustainabil ity awareness regularly, and governments start to change their energy policies to pro mote green energy sources. However, mobile network ...
  • Sequential Monte Carlo localization using bluetooth low-energy beacons 
    Daniş, Fahri Serhan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    We model the tracking of a Bluetooth Low-Energy (BLE) moving transceiver as a hidden Markov model, and filter the latent positions using sequential Monte Carlo. A novel aspect of our approach is the development of an ...
  • Content-centric and spectrum sharing heterogeneous wireless networks 
    Kafıloğlu, Sebahat Sinem. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    The surging multimedia content demand has put wireless network systems under heavy energy consumption burden in an unprecedented manner. Besides, wireless net works are urged to the limits of service capacity due to the ...
  • Quality of experience - driven dynamic adaptive streaming over HTTP 
    Özçelik, İhsan Mert. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Dynamic Adaptive Streaming över HTTP (DASH) became the pillax of mul timedia content delivery mechanisms in the last decade. Given fluctuating network conditions, over-the-top content platforms struggle with delivering a ...
  • Optimization and orchestration in multi-tier edge computing 
    Baktır, Ahmet Cihat. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    In addition to the efforts in the next-generation cellular networks and traditional network services, the demand for a novel set of services leveraged through smart devices and artificial intelligence (AI) techniques ...
  • Neural named entity recognition for morphologically rich languages 
    Güngör, Onur. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Named entity recognition (NER) is an important task in natural language pro cessing (NLP). Until the revival of neural network based models for NLP, NER taggers employed traditional machine learning approaches or finite-state ...
  • Parallel network flow algorithms 
    Kara, Gökçehan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Network flows is an active area of research that has applications in a wide variety of fields. Several network flow problems are reduced to either the maximum flow problem or the minimum cost flow problem. Maximum flow ...
  • Deep learning-based dependency parsing for Turkish 
    Bilgin, Şaziye Betül. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Dependency parsing is an important step for many natural language processing (NLP) systems such as question answering and machine translation. Turkish, being a morphologically rich language and having a complex grammar, ...
  • Stress measurement and regulation in real-life using affective technologies 
    Chalabianloo, Niaz. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Stress has become one of the main contributors to serious mental and physical health issues in today’s world. Existing works in the literature have used Psychophysi ological measures and proposed numerous mechanisms to ...
  • Using machine learning to improve automated test generation 
    Köroğlu, Yavuz. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Underestimating the value of software testing had catastrophic results in recent history. Automated Test Generation (ATG) is an approach that aims to minimize the manual effort required for testing. This thesis aims to ...
  • Algorithms for learning from online human behavior and human interaction with learning algorithms 
    Çapan, Gökhan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    In modern digital systems, algorithms that deliver personalized content shape the user experience and affect user satisfaction, hence long-term engagement with the system. What the system presents also influences the parties ...

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