Fen Bilimleri Enstitüsü: Recent submissions

  • 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 ...
  • Job scheduling for heterogeneous supercomputers 
    Soner, Seren. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    This thesis addresses the job scheduling problem for heterogeneous supercomputers where accelerators such as GPGPUs or co-processors are employed. On homogeneous supercomputers, the problem of scheduling user jobs to the ...
  • Player profiling and analysis of abusive behavior in social games 
    Balcı, Mehmet Koray. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    Online multiplayer games create new social platforms, with their own etiquette, social rules of conduct and ways of expression. What counts as aggressive and abusing behavior may change depending on the platform, but most ...
  • Quality-of-service-aware multicast routing for multimedia applications in mobile ad hoc networks 
    Bür, Kaan. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    The conceptual shift in the expectations of wireless users towards multimedia andgroup-oriented computing has a significant impact on today̕s networks in terms of needfor mobility, quality of service (QoS) and multicast ...
  • A bayesian approach to the clustering problem with application to gene expression analysis 
    Fidaner, Işık Barış. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    This thesis investigates methods for extraction of information from gene expression time series data. These time series provide indirect measurements about the underlying biological mechanisms, hence their analysis heavily ...
  • 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. ...
  • Priority scheduling for heterogeneous workloads in computing clusters 
    Çavdar, Derya. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Nowadays, large computing clusters constantly strive for an optimal tradeo between resource e ciency and performance. In this thesis, we are concerned with the e cient use of system resources and we also aim to improve ...
  • Model driven security framework for software design and verification 
    Deveci, Engin. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Information system security is receiving increasing attention every day because a security problem can cause serious nancial loss or even loss of lives. Some of these security problems occur as a result of poor design ...
  • Tensor fusion: learning in heterogeneous and distributed data 
    Şimşekli, Umut. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    In this thesis, we focus on coupled matrix and tensor factorization models; that provide a good modeling accuracy { practicality trade o for modeling large-scale and/or heterogeneous data that are collected from diverse ...
  • 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 ...
  • 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) ...
  • Analysis of reception process for an absorbing receiver in molecular communication via diffusion 
    Akkaya, Ali. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Nanotechnology is currently being applied to vast number of elds to overcome the challenges faced with existing technologies that cannot e ciently scale down to nano level. However, considering the limited processing and ...
  • Robust machine learning methods for computational paralinguistics and multimodal affective computing 
    Kaya, Heysem. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    The analysis of a ect (e.g. emotions or mood), traits (e.g. personality), and social signals (e.g. frustration, disagreement) are of increasing interest in human computer interaction, in order to drive human-machine ...
  • Reconfigurable network-on-chip (NoC) architectures for embedded systems 
    Bayar, Salih. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Communication architectures such as Point-to-Point (P2P) and shared bus are poorly scalable as the number of cores or the communication volume increase. Networkon- Chip (NoC) has been proposed to reduce power consumption ...
  • Tuning model complexity using cross-validation for supervised learning 
    Yıldız, Olcay Taner. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2005., 2005.)
    In this thesis, we review the use of cross-validation for model selection and propose the MultiTest method which solves the problem of choosing the best of multiple candidate supervised models. The MultiTest algorithm ...
  • 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 ...
  • Human activity recognition with wireless sensor networks using machine learning 
    Alemdar, Hande. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Recognizing human behavior in an automated manner is essential in many ambient intelligence applications such as smart homes, health monitoring applications and emergency services. In order to make such long term health ...
  • An issue recommender model using the developer Collaboration network 
    Çağlayan, Bora. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Assignment of new issues to developers is an important part of software maintenance activities. In this research, we build an issue recommendation model that recommends new issues to developers and highlights the defect ...
  • An efficient evolutionary clustering and prediction model for gene expression time series data 
    Erdem, Atakan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Because of using manual methods in some parts of gene expression experiments, reliability of the data is low. If this data is directly utilized as input to a data mining algorithm or a model for evaluating gene expression ...
  • 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 ...

Search Digital Archive


Browse

My Account