Browsing Ph.D. Theses by Title

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  • 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, ...
  • Deployment quality measures in surveillance wireless sensor networks 
    Onur, Ertan. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    Surveillance wireless sensor networks are deployed at border locations to detect unauthorized intrusions. For deterministic deployment of sensors, the quality of deployment can be determined sufficiently well by analysis ...
  • Detection quality measure in surveillance wireless sensor networks 
    Komar, Can. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    The performance of a surveillance wireless sensor network is generally measured with its detection capability which is affected by various parameters such as the sensor count, the sensor range, the area width and the target ...
  • 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 ...
  • Developing new approaches for multi-platform and multi-individual genomic sequence assembly 
    Kavak, Pınar. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    High throughput sequencing (HTS) technologies generate huge amount of data with very low cost, which prompted research on algorithm development to analyze large DNA sequence datasets. In this thesis, we propose new solutions ...
  • Digital map and GNSS fusion to enhance localization for intelligent vehicle applications 
    Peker, Ali Ufuk. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    This thesis aims to enhance vehicle localization through the fusion of digital maps and vehicular communication. A particle lter based algorithm for fusing global navigation satellite system (GNSS) receiver, odometer, and ...
  • Distance approximations between high and multi-dimensional structures 
    Semerci, Murat. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    In this thesis, we focus on distance approximation methods between high and multi-dimensional structures and their applications. Two novel methods using distance approximations are proposed and they are applied to anomaly ...
  • Distributed simulation framework based on load balanced implementation of standard clock algorithm with web based extensions 
    Darcan, Osman Nuri. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2003., 2003.)
    Standard Clock approach is used to simulate a number of parametric variants of a single system. In this thesis, a simulation engine based on the distributed implementation of the Standard Clock approach on networks of ...
  • Efficient mapping of ADAS (Advanced driver assistance system) algorithms onto multicore architectures 
    Par, Kerem. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.)
    This thesis aims to address the real-time performance requirements of ADAS (Advanced Driver Assistance System) and autonomous vehicle applications on emerging multicore CPU and manycore GPU architectures. A parallel particle ...
  • Efficient personalized learning to rank from implicit feedback for time-sensitive recommendations 
    Yağcı, Arif Murat. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    This thesis focuses on the problems at the intersection of time-sensitive recommendations, implicit user feedback, and learning to rank. Major challenges for achieving time sensitivity are distinguished, the importance of ...
  • Energy efficiency analysis and modeling of cognitive and heterogeneous wireless networks 
    Gür, Gürkan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.)
    The surging energy costs and the environmental consequences of energy generation and exploitation have put energy e ciency aspect of wireless systems into focus in an unprecedented manner. Moreover, the capacity expectations ...
  • Evolutionary algorithms for solving DEC-POMDP problems 
    Eker, Barış. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    The Decentralized Partially Observable Markov Decision Process (DEC-POMDP) model addresses the multiagent planning problem in partially observable environments. Due to its NEXP-complete complexity, only small size problems ...
  • Extended models of finite automata 
    Salehi, Özlem. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Many of the numerous automaton models proposed in the literature can be regarded as a nite automaton equipped with an additional storage mechanism. In this thesis, we focus on two such models, namely the nite automata ...
  • Fast high-dimensional temporal point processes with applications 
    Türkmen, Ali Caner. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Large sets of continuous-time discrete event streams are often in the focus of seismology, neuroscience, finance, behavioral science among other scientific and engi neering disciplines. In this work, we explore a set of ...
  • Filtering based defense mechanisms against DDOS attacks for core networks 
    Kalkan, Kübra. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    In this thesis, we present filtering based defense mechanisms against Distributed Denial of Service (DDoS) attacks for core networks. Initially, several filtering techniques are analyzed and their advantages and disadvantages ...
  • Finite and small - space automata with advice 
    Küçük, Uğur. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    Advice is a piece of trusted supplemental information that is provided to a computing device, in advance of its execution in order to extend its power beyond its limits and hence to assist it in its task. The content of ...
  • FPFM : a formal specification and verification framework for security policies in multi-domain mobile networks 
    Ünal, Devrim. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    We present a framework called Formal Policy Framework for Mobility (FPFM) for the specification and verification of domain and inter-domain security policies in a multi-domain mobile network environment. FPFM supports the ...
  • Gait analysis and fall risk assessment with wearable inertial sensors 
    Tunca, Can. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    The gold standards for gait analysis are instrumented walkways and camera based motion capture systems which are highly accurate, but require costly infrastruc ture and are only available in hospitals and specialized gait ...
  • Generalized tensor factorization 
    Yılmaz, Yusuf Kenan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    This thesis proposes a unified probabilistic framework for modelling multiway data. Our approach establishes a novel link between probabilistic graphical models and tensor factorization, that allows us to design arbitrary ...
  • Generating, ranking, and enacting commitment protocols 
    Günay, Akın. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.)
    Multiagent systems o er novel techniques to solve computational challenges that involve data interpretation, reasoning and decision making, without human intervention. An important aspect of every multiagent system is ...

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