Browsing M.S. Theses by Title

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  • Modelling wave transformations using extended mild-slope equation and the radial basis function colloaction method 
    Manat, Onur. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    In this study, the extended mild-slope equation is modelled over different topogra phies using the Radial Basis Function Collocation Method. In the numerical model, the equation preserved its elliptic form and two related ...
  • Molecular communications in vessel-like diffusive channels 
    Turan, Meriç. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Molecular communication via diffusion is based on relaying information over a diffusive channel. The design of this diffusive channel is a vital issue. In this thesis, diffusion in the vessel-like environment, which is composed ...
  • Morphological annotation of a corpus with a collaborative multiplayer game 
    Güngör, Onur. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    In most of the natural language processing tasks, state of the art systems usually rely on machine learning methods for building their mathematical models. Given that the majority of these systems employ supervised learning ...
  • Morphologically motivated input variations in Turkish - English neural machine translation 
    Yirmibeşoğlu, Zeynep. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Success of neural networks in natural language processing has paved the way for neural machine translation (NMT), which rapidly became the mainstream approach in machine translation. Tremendous improvement in translation ...
  • Moving object information for location based services 
    Kantar, Sabri. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    Delivering personalized services to subscribers is a relatively new challenging area for GSM content providers. One of the most effective ways to personalize mobile services is to make use of the location of the mobile ...
  • Multi-document summarization using dependency grammars 
    Bilgin, Şaziye Betül. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Information overload is one of the greatest challenges in recent years, especially due to the rapid increase of data produced on the Internet. Automatic summarization of documents about similar topics is a salient solution ...
  • Multi-layer network appoach in modeling epidemics in an urban town 
    Türker, Melikşah. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    The last two years have been an extraordinary time with the Covid-19 pandemic killing millions, affecting and distressing billions of people worldwide. Authorities took various measures such as turning school and work to ...
  • Multilingual identification of verbal multiword expressions using bidirectional long short-term memory based architectures 
    Berk, Gözde. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Verbal multiword expression (VMWE) identi cation is a challenging task for many natural language processing studies. In this study, sequence tagging approach accompanied with stochastic models and variants of IOB tagging ...
  • Multimodal biometric verification and identification using face and hand 
    Sürer, Elif. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    The goal of this thesis is to develop user interfaces that identify and verify legitimate users in real-time due to their biometric characteristics. Face and hand geometry were the biometric identifiers that were used in ...
  • Multivariate decision trees for machine learning 
    Yıldız, Olcay Taner. (Thesis (M.S.)- Bogazici University. Institute for Graduate Studies in Science and Engineering, 2000., 2000.)
    In this thesis, we detail and compare univariate, linear decision tree methods using a set of simulations on twenty standard data sets. For univariate decision tree methods, we have used the ID3 algorithm and for multivariate ...
  • Multivariate product demand forecasting with neural networks 
    Şahin, Çağatay. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    In retail, there are plenty of use cases that would benefit from predicting the future amount of product sales. Those use cases include cash ow management, campaign execution and inventory planning, all of which are the ...
  • Mutation testing of concurrent programs 
    Köse, Mehmet. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    As software testing becomes a more established discipline, the need for quality assurance of software test suites arises. It has been decades since mutation testing was rst introduced into the literature for this purpose. ...
  • Mutual information based feature selection for acoustic autism diagnosis 
    Yüzsever, Şefika. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Pervasive Developmental Disorders (PDD) are known to a ect children's social interactions and mental development. Prosodic and linguistic cues can be used to diagnose the disorders at early ages. Computational paralinguistics ...
  • Named entity recognition for Turkish microblog texts using semi-supervised learning with word embeddings 
    Okur, Eda. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Recently, due to the increasing popularity of social media and the value of information contained within real data, the necessity for extracting information from informal text types such as microblog texts has gained ...
  • Named entity recognition in Turkish using deep learning models and joint learning 
    Akdemir, Arda. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    Named Entity Recognition (NER) is the task of detecting and categorizing the entities in a given text. It is an important task in Natural Language Processing (NLP) and forms the basis of many NLP systems. Previous work on ...
  • Naturl language processing for mining neuroanatomical relations among brain regions 
    Gökdeniz, Erinç. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    Identifying the relations among di erent regions of the brain is vital for a better understanding of how the brain functions. While a large number of studies have investigated the neuroanatomical and neurochemical connections ...
  • Negotiating privacy constraints in online social networks 
    Mester, Yavuz. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Privacy is a major concern of Web systems. Traditional Web systems employ static privacy policies to notify its users of how their information will be used. Recent social networks allow users to specify some privacy concerns, ...
  • Negotiation strategies for privacy in online social networks 
    Keküllüoğlu, Dilara. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    Online Social Networks (OSNs) are web-services that enable users to connect with other users, share content and view other users' content. Spread of online social networks brings privacy problems that are not addressed ...
  • Network data analytics function in 5G networks 
    Sevgican, Salih. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Wireless cellular networking in the world goes through a tremendous structural change where many advances in technology find an opportunity to present themselves for assistance. 5G cellular network, the most recent generation ...
  • Neural Sign Language Translation by learning tokenization 
    Orbay, Alptekin. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    In this thesis, we propose a multitask learning based method to improve Neural Sign Language Translation (NSLT) consisting of two parts, a tokenization layer and Neural Machine Translation (NMT). The tokenization part ...

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