M.S. Theses: Recent submissions

  • Gait analysis using smartwatches 
    Erdem, Naime Şeyma. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Monitoring gait characteristics is an important tool used in many areas including orthopedics, sports, rehabilitation and neurology. Current methods applied to analyze the gait need clinical settings and equipments for ...
  • Development of sensorimotor organization guided by learning progress and predictability 
    Buğur, Serkan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    This thesis proposes an effective action parameter exploration mechanism that enables e cient discovery of robot actions through interacting with objects in a simulated table-top environment. For this, the robot organizes ...
  • Identifying image related sentences in news articles 
    İlter, Melike Esma. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    With the increasing availability of images on the web, identifying image related sentences has become an important problem. This research area is also important for the news publishing community for automatic captioning ...
  • Design of donor-acceptor conjugated polymers for high-performance organic solar cells :|a quantum mechanical approach 
    Ersoy, Deniz. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    In this study, the design of donor-acceptor conjugated polymers for high-performance organic solar cells is intended by investigating electronic, geometrical and optical prop erties of a specific set of donors that are used ...
  • A new definition of heat waves under climate change 
    Kassara, Cemre. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    For the last few decades, changes in frequency, intensity, and duration of extreme climate events have been detected, and these observations are linked to human-induced climate change. To state the amount of change in these ...
  • The effect of wind pattern change on the environmental/climatic conditions within cities 
    Baykal, Bahadır. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    The labor force demand by the Industrial Revolution has led to an increase in the population of cities. This situation was followed by rapid development of urban areas with starting of nineteenth century to accommodate ...
  • Anomaly detection in time series 
    Poyraz, Onur. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Anomaly detection (AD) is the discovery of the observations which does not con form with the rest of the observations. The types of anomalies and their occurrences that exist in the data set are tried to be determined. On ...
  • Climate change projections of Cyprus using RegCM4.4 
    Deler, Ferhan Büşra. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    The scientific motivation of this thesis is a substantial presence of climate change which is one of the most significant issues in the world. There have been happening many natural disasters because of climate change. In ...
  • Bayesian model selection for latent variable causal networks by sequential Monte Carlo 
    Kurutmaz, Mehmet Burak. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Inferring the causal structure of several random variables is a challenging task when interventions are not feasible. Presence of latent confounders further increases the difficulty of the problem, and therefore is neglected ...
  • Proactive controller assignment schemes in SDN for fast recovery 
    Güner, Selcan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Software-defined networking (SDN) is an emerging networking paradigm which entails separate control and data planes. In SDN, a controller is a centralized network control entity responsible for management of the data plane. ...
  • Model selection for multi-class support vector machines 
    Karaç, Evrim Itır. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2005., 2005.)
    Support Vector Machines (SVMs) are widely used, powerful learning algorithmsbased on statistical learning theory. In SVM learning, the data are mapped to a highdimensional space via a non-linear kernel function and a maximal ...
  • Statistical return periods of extreme weather events 
    Paçal, Aytaç. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    The Middle East & North Africa (MENA) region is one of the most populated areas on Earth in terms of city population. There are 643 cities in MENA region with population of urban agglomerations with 300,000 or more in 2018 ...
  • Genome-scale metabolic reconstruction of freshwater organism Daphnia pulex 
    Başıbüyük, Selma. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    The aim of this study is the reconstruction of the genome-scale model of an ecological organism and investigation of its cellular functionality towards toxicity by using computational systems biology approaches. Daphnia ...
  • Hierarchical mixtures of generators in generative adversarial networks 
    Ahmetoğlu, Alper. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Generative adversarial networks (GANs) are deep neural networks that are de signed to model complex data distributions. The idea is to create a discriminator net work that learns the borders of the data distribution and a ...
  • Identifying event nuggets in Turkish news texts using natural language processing and machine learning methods 
    Durna, Mehmet. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    An event nugget is the smallest textual instance that marks the existence of an event. Detecting event nuggets in a given text opens door to further research and many practical applications such as automatic classification ...
  • Gridded distribution of daily non-uniform meteorological station data of Turkey 
    Heperkan, Ömer. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    The climate modeling is a complex area to work on. It is not easy to represent the atmospheric events in a model, because there are a lot of drivers and variables which af fects the local and global climate. Even if, ...
  • Computational study on allostery in bacterial ribosome 
    Yıldırım, Hatice Zeynep. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Molecular machines in a cell have signal processing to perform their function using specific sites such as active or allosteric sites. Ligand binding to active sites or signal transferring from allosteric sites affect their ...
  • Deep learning for question answering 
    Ünlü, Merve. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    This study describes a question answering (QA) system developed with deep learning methods on spoken documents. Question answering on spoken documents is mainly performed by transcribing spoken content with an automatic ...
  • Recognition of non-manual signs in sign language 
    Aktaş, Müjde. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Recognition of non-manual components in sign language has been a neglected topic, partly due to the absence of annotated non-manual sign datasets. We have collected a dataset of videos with non-manual signs, displaying ...
  • Sequential Monte Carlo approoach to inference in Bayesian choice models 
    Gündoğdu, İlker. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Monte Carlo methods, such as Markov Chain Monte Carlo (MCMC) and Sequential Monte Carlo (SMC), have extensive use cases in probabilistic modeling and inference. They usually appear as a way of drawing samples from a ...

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