Başlık için M.S. Theses listeleme

Sırala: Sıra: Sonuçlar:

  • Effects of the receiver characteristics, variation of target intensity and nonlinearity on probability hypothesis density filter compared to data association techniques 
    Öksüz, Kemal. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    Target tracking algorithms adopted in modern radars are designed such that they can track multitarget by considering target births and target deaths. These algorithms are derived by integrating the data association techniques ...
  • Efficient action and event recognition in videos using extreme learning machines 
    Varol, Gül. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    A great deal of research in computer vision community has gone into action and event recognition studies. Automatic video understanding for actions are crucial for application areas such as video indexing, surveillance and ...
  • Efficient feature selection for online activity recognition on smart phones 
    Doğan, Erman. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.)
    Activity Recognition (AR) is an active area of research that has direct applications on life quality and health of human beings. Related studies aim to classify di erent daily activities of people with high accuracy rates ...
  • Efficient storage of olap cubes using a hybrid method 
    Çakmak, Fatih. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    In previous studies about the subject, hybrid methods were developed to benefit from the advantages of both sparse and dense structures for efficient storage of multidimensional OLAP data. In these previous studies, main ...
  • Efficient two-way quantum finite state automata 
    Yakaryılmaz, Abuzer. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    The discovery of quantum algorithms which are exponentially more e fficient than the best known classical algorithms for similar tasks has spurred researchers to compare the relative powers of the classical and quantum ...
  • Electanon : a blockchain-based, anonymous, robust and scalable ranked-choice voting protocol 
    Onur, Ceyhun. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Remote voting has become more critical in recent years, especially after the Covid-19 outbreak. Blockchain technology and its benefits like decentralization, se curity, and transparency have encouraged remote voting systems ...
  • Emergency situation notification based on social networks for mobile devices 
    Anıt, Hakan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.)
    There is rapid increase in the number of microbloggers everyday. Users can share their thoughts instantaneously. In this thesis, we have studied on identi cation of emergency related contributions in social media and mobile ...
  • Emotional impact of movies 
    Karslıoğlu İman, Nihan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Video emotion estimation has been an active area of research in recent decades. This study area is crucial for personalized content delivery, video recommendation, video summarization, and inappropriate scene censorship. ...
  • Empowering heterogeneous networks for drug-target affinity prediction 
    Parlar, Selen. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Predicting drug-target binding affinity is a critical phase in computer-aided drug design, which can help accelerate the drug development process and reduce experimen tal validation costs caused by the significant ...
  • Endosensorfusion: Particle filtering - based multi - sensory data fusion with switching state - space model for endoscopic capsule robots using recurrent neural network kinematics 
    Almalıoğlu, Yasin. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    Ingestible wireless capsule endoscopy is an emerging minimally invasive diagnostic technology for inspection of the gastrointestinal (GI) tract and diagnosis of a wide range of diseases and pathologies. Medical device ...
  • Energy-efficient routing for wireless sensor networks with a mobile sink 
    Tunca, Can. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    The concentration of data tra c towards the sink in a wireless sensor network causes the nearby nodes to deplete their batteries quicker than other nodes, which leaves the sink stranded and disrupts the sensor data reporting. ...
  • Enhancing relation classification by using shortest dependency paths between entities with pre-trained language models 
    Karaevli, Haluk Alper. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Relation Extraction (RE) is the task of finding the relation between entities from a plain text. As the length of the text increases, finding the relation becomes more challenging. The shortest dependency path (SDP) between ...
  • Environment aware location estimation in cellular networks 
    Türkyılmaz, Onur. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    Location Based Services (LBS) enable personalized services to the mobile subscribers based on their current position and consequently it has received significant attention in both research and industry over the past few ...
  • Error concealment for speech over noisy channels by using audio watermarking 
    Er, Fatih. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    In this thesis, the author presents a novel error concealment method of speech for noisy channels using audio watermarking. The proposed error concealment algorithm abbreviated as ECAW is basically a LSB-based scheme and ...
  • Evaluation of deformation capacity criteria of Eurocode 8 
    Özal, A. Koray. (Thesis (M.S.)-Bogazici University. Kandilli Observatory and Earthquake Research Institute, 2008., 2008.)
    Deformation capacity criteria of structures that are under earthquake effect could be obtained from various world-wide used seismic codes. Eurocode8 (2005), FEMA356 (20009 and Turkish seismic code (2007) are three of seismic ...
  • Example-dependent cost-sensitive gradient boosting machines for credit scoring 
    Kurtuluş, İlker. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Although most of machine learning algorithms try to minimize cost-insensitive losses, many real world applications require cost-sensitive approaches where misclassifi cation costs among classes differ from each other. In ...
  • Exploring area-specific microblogger social networks 
    Değirmencioğlu, Ece Aksu. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    Social networks can be used to find people who share similar interests or people who have knowledge in a specific domain. Using social networks to share knowledge is a very efficient way of reaching information. Current ...
  • Exploring the intrinsic dynamics of human beta-2 adrenergic G-protein coupled receptor 
    Özcan, Özer. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    G protein-coupled receptors (GPCRs) represent the single largest family of cell surface receptors involved in signal transduction. It is estimated that several hundred distinct members of this receptor family in humans ...
  • Extension of simple recommendation model 
    Çiftçi, Sedat. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    In Simple Recommendation Model (SRM), the effect of memory size on fame with respect to the population size is analyzed. Agents of SRM may learn new agents and may forget some of the agents that they know as a result of ...
  • Extracting protein-ligand interactions from the biomedical literature using deep learning approaches 
    Yüksel, Atakan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Protein-ligand interactions play crucial roles in living organisms, thus they attract many researchers from various disciplines. There are protein-ligand interaction databases that provide information to researchers in a ...

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