Browsing Bilgisayar Mühendisliği by Title

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  • 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 ...
  • Network-centric warfare communications with wireless sensor networks and data fusion 
    Önel, Tolga. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    In this thesis we aim to design efficient algorithms for wireless ad hoc sensor networks that are supporting network-centric warfare operations. These algorithms should conform to the hard end to end QoS requirements. They ...
  • 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 ...
  • 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 ...
  • New dynamic group key agreement protocols and their formal analysis and applications 
    Ermiş, Orhan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    The essence of dynamic group key agreement protocols is to help compute a secure key for a group communication with a dynamic set of participants in distributed systems. Dynamic group key agreement protocols are expected ...
  • Nonlinear dimensionality reduction methods for pattern recognition 
    Turhan, Burak. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2004., 2004.)
    The aim of dimensionality reduction is to find a lower dimensional, simpler representation while keeping the important information in the data. It is essential to employ dimensionality reduction for high dimensional data ...
  • Nonuniformity in wireless sensor networks 
    Koşar, Rabun. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    Deemed as suitable for various challenging sensing tasks, wireless sensor networks evolve as candidates for deployment to different environments to perform the given task for as long as possible. Those networks operate ...
  • Novel methods for security mechanisms and key management techniques in wireless networks based on signcryption and hybrid cryptography 
    Yavuz, Attila Altay. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    Providing security in wireless communication networks is one of the most challenging problems in security systems. Broadcast nature of wireless networks make them more vulnerable to eavesdropping and active attacks when ...
  • Novel models for credit card fraud detection 
    Kültür, Yiğit. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    Financial institutions attach great importance to credit card fraud detection, as a natural consequence of the multi-billion dollar annual losses incurred due to credit card fraud. Rule based systems have been commonly ...
  • Numerical analysis of multipilicty and transition phenomenon in natural convection 
    Kafil, Hadi. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2015.)
    This research is devoted to the numerical investigation of the transition and multiplicity phenomena in natural convection. The numerical simulation is performed for a 2-D closed domain using FLUENT, a commercial computational ...
  • Numerical modeling of nearshore wave transformation using the meshless multiquadric method 
    Adak, Zeynep. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    In the present study, nearshore wave transformation is numerically modeled using meshless multiquadric (MQ) method. The processes of water wave refraction, shoaling, breaking and re-forming; which are commonly observed in ...
  • Numerical modeling of sloshing using the radial basis function collocation method 
    Çakıroğlu, Kerem R. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    A series of numerical models have been developed to study sloshing in 2D and 3D Rigid Tanks. The problem is approached with Potential Flow Theory and Laplace’s equation is solved with Neumann type lateral and bottom boundary ...
  • Object and relation-centric reasoning of action effects in push manipulation tasks 
    Tekden, Ahmet Ercan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    In complex robotic systems, prediction of effects is a challenging problem when the number of objects varies, especially in the presence of rich and various interactions among these objects. To be able to model such systems, ...
  • Object, action, and outcome blending latent space exploration with intrinsic motivation to learn manipulation skills 
    Şener, Melisa İdil. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    In quest of making artificial agents more autonomous and intelligent, equipping them with the ability of self-learning of skills plays a crucial role. In this thesis, we focus on intrinsically motivated exploration to ...
  • On the evolutionary coupling and its measurement 
    Kırbaş, Serkan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    Evolutionary Coupling (EC) is the implicit relationship between the artifacts or parts of the software system that are frequently changed together during evolution of a system. Understanding the EC in software systems is ...

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