Browsing Ph.D. Theses by Title

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  • Automated query-biased and structure-preserving document summarization for web search tasks 
    Pembe, Fatma Canan. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    With the drastic increase of available information sources on the Internet, people with different backgrounds in the world share the same problem: locating useful information for their actual needs. Search engines provide ...
  • Automated reasoning on exceptions in commitment-based multiagent systems 
    Kafalı, Remzi Özgür. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    Exceptions constitute a signi cant portion of people's lives. When things do not go as planned, due to environmental reasons or because one does not bring about his responsibility in a given task, unexpected situations ...
  • Automatic synthetic benchmark generation for multicore systems 
    Deniz, Etem. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    We present a novel automated multicore benchmark synthesis framework for multicore systems including CPUs and GPUs with characterization and generation components to speed up architectural simulation of modern architectures. ...
  • 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 ...
  • Bayesian changepoint and time-varying parameter learning in regime switching volatility models 
    Yümlü, Mustafa Serdar. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    This dissertation proposes a combined state and piecewise time-varying parameter learning technique in regime switching volatility models using multiple changepoint detection. This approach is a Sequential Monte Carlo ...
  • Bayesian methods for network traffic analysis 
    Kurt, Barış. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Statistical information about tra c patterns help a service provider to characterize its network resource usage and user behavior, infer future tra c demands, detect tra c and usage anomalies, and possibly provide insights ...
  • Bayesian source modelling for single-channel audio separation 
    Dikmen, Onur. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    In many audio processing tasks, such as source separation, denoising or com- pression, it is crucial to construct realistic and flexible models to capture the physical properties of audio signals. This can be accomplished ...
  • Biologically motivated 3D face recognition 
    Salah, Albert Ali. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    Face recognition has been an active area of study for both computer vision and image processing communities, not only for biometrics but also for human-computer interaction applications. The purpose of the present work is ...
  • Case-based mobile manipulation 
    Meriçli, Tekin. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    The ability to manipulate the environment is one of the primary skills that autonomous mobile service robots are expected to have, considering that the daily lives of humans heavily rely on this skill. There are various ...
  • Channel selection and assignment schemes for efficient spectrum sharing and energy efficiency in cognitive radio networks 
    Bayhan, Suzan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    In this thesis, we focus on distributed channel selection and centralized channel assignment in cognitive radio networks (CRN). For the former topic, we are concerned with the efficiency of spectrum sharing whereas in the ...
  • Classical and quantum computation with small space bounds 
    Yakaryılmaz, Abuzer. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    In this thesis, we introduce a new quantum Turing machine model that supports general quantum operators, together with its pushdown, counter, and nite automaton variants, and examine the computational power of classical ...
  • Community detection in complex networks using local methods and information flow 
    Taşgın, Mürsel. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Many real world systems can be represented using networks or graphs where ele ments of system are denoted by nodes and their relations by edges. Complex networks are special kinds of these networks with their emergent ...
  • Computational models of attention competition 
    Çetin, Uzay. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    In the new digital age, information has grown increasingly abundant and immediately available. Thus it is easy to see that the scarcest resource of today is not information but rather attention. We design several complex ...
  • Computer aided detection of spina bifida using features derived from curvature scale space and zernike moments 
    Konur, Umut. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    The work of this dissertation focuses on a specifc computer aided diagnosis (CAD) problem, although the main concept can be generalized to similar problems. Our aim is to detect the presence of the spina bi da (open spine) ...
  • Computer processing of Turkish: |morphological and lexical investigation 
    Güngör, Tunga. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 1995., 1995.)
    The morphological analysis of Turkish is the subject of this thesis. Turkish belongs to the group of agglutinative languages. Because of its agglutinative nature, Turkish morphology is quite complex and includes many ...
  • 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 ...
  • Cooperative sensing scheduling strategies for Cognitive Radio networks 
    Eryiğit, Salim. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    In this thesis, our main focus is on cooperative sensing scheduling (CSS) for cognitive radio networks (CRNs). We first consider the joint scheduling of sensing and transmission for a multi-channel CRN with varying sensing ...
  • Cooperative spectrum sensing and radio environment map construction in cognitive radio networks 
    Yılmaz, Hüseyin Birkan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    In this thesis, we focus on both internal and external sensing in Cognitive Radio (CR) networks. In internal sensing, individual CRs discover spectrum opportunities via spectrum sensing whereas in external sensing, an ...
  • Core-crust modeling approach for formal representation of trust in relation to computer security 
    Bahtiyar, Şerif. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    The increasing availability of high bandwidth network connections with low-cost computing equipments has stimulated the use of service-oriented environments. Emerging service-oriented environments are expected to be open ...
  • Crowd - labelling for continuosun - valued annotations 
    Kara, Yunus Emre. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    As machine learning gained immense popularity across a wide variety of domains in the last decade, it has become more important than ever to have fast and inexpensive ways to annotate vast amounts of data. With the emergence ...

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