Arşiv ve Dokümantasyon Merkezi
Dijital Arşivi

Başlık için Fen Bilimleri Enstitüsü listeleme

Başlık için Fen Bilimleri Enstitüsü listeleme

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  • Data-driven operators for a hybrid evolutionary algorithm to solve multi-trip rich vehicle routing problem 
    Aykanat, Dilara. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Vehicle routing problems have been the subject of intensive research due to their di culty as a combinatorial optimization problem and their importance in real life operations. Heuristics are widely preferred to solve VRPs ...
  • Datasets and transformer models for cross-lingual relation classification 
    Köksal, Abdullatif. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Relation classification is one of the key topics in information extraction, which can be used to construct knowledge bases or to provide useful information for question answering. Current approaches for relation classification ...
  • DC-DC buck converter for triboelectric energy harvesting applications 
    Becermiş, Mustafa. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Energy harvesting applications are getting more popular day by day. Self sufficient circuits which do not require any supply, are more than a luxury for many situations. Usage of the battery can be expensive and not useful ...
  • DDOS attack detection by control charts 
    Kalemci, Aysun. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Distributed Denial of Service (DDoS) attacks are considered as the major threats in today’s cyberworld. The fact that the source of these threats is often uncertain increases the concerns of many network operators. These ...
  • DDoS attack detection by using packet features 
    Korkusuz, Ammar Yasir. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    DDoS attacks have been in internet life for a long time and most of hosts are still vulnerable for DDoS attacks. Complete detection and prevention of DDoS attacks is almost impossible, since their working method. Especially, ...
  • DDoS attack detection using frequency domain characteristics 
    Fouladi, Ramin Fadaei. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Providing 24-hour service to the users, is one of the major concerns of network administrators. A denial of service attack refers to a condition that a server cannot give normal services to its legitimate clients due to ...
  • DDoS attack detection using signal processing and statistical approaches 
    Erhan, Derya. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    DDoS attacks cause a variety of changes in the properties of the attributes in the network traffic. Modeling these changes using signal processing and statistical ap proaches provides detection of these attacks. This thesis ...
  • Deadlock detection problem in computing systems :|a simulation approach using a priority based deadlock detection algorithm 
    Akgün, Sema F. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 1989., 1989.)
    In this thesis, the deadlock detection problem in computing systems is examined in detail. Deadlock models and some published algorithms on deadlock detection are discussed. A modified priority based algorithm is introduced ...
  • Decentralized decomposition methods for block angular linear and integer progamming problems 
    Aydın, M. Aslı. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    In this thesis, we propose Decentralized Benders decomposition and Decentralized Dantzig-Wolfe decomposition for block angular linear programs and Decentralized LShaped Method for block angular integer programs. We exploit ...
  • Decentralized stabilization with controller constraints: |strong and reliable stabilization 
    Hiraoğlu, Muzaffer. (Thesis (M.S.)- Bogazici University. Institute for Graduate Studies in Science and Engineering, 1986., 1986.)
    In this thesis we study two problems in decentralized stabilization. The first is the strong decentralized stabilization problem, which can be stated as follows. Given a plant Z, does there exist a block-dlagonal stable ...
  • Deciding on parameter values of anchor and adjust heuristic in stock management 
    Mutallip, Ahmet. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.)
    Anchor-and-adjust is a widely used heuristic in stock management because, it is a fine representation of human decision making process in managing a stock. This thesis focuses on two issues related to the usage of the ...
  • Decision making implications for a selected echelon in the beer game 
    Edalı, Mert. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    The beer production-distribution game, in short “The Beer Game”, is essentially a board game and it simulates a four echelon supply chain consisting of a retailer, wholesaler, distributor, and factory. During the game, ...
  • Deep learning approaches for multi-site wind power forecasting in the West Aegean region of Turkey 
    Sarıkaya, Mert. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Wind energy is one of the most economical and promising ways of producing renewable energy among today's technologies. But the uncertainties arising from the chaotic nature and the variability of weather events are major ...
  • Deep learning based automatic modulation classification in the presence of carrier phase offset and carrier frequency offset 
    Yılmaz, Ramazan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Automatic Modulation Classification (AMC) has emerged after the efforts of making the modulation classification process autonomous. Since then, various meth ods, algorithms, and tools have been used in the AMC field, such ...
  • Deep learning based recommendation system design 
    Şen, Seçil. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Recommendation systems are software tools that seek to suggest relevant items regarding user preferences. Preference might be any; text to read, product to buy, or anything depending on the industry. Since it’s vastly ...
  • Deep learning based text regression 
    Dereli, Neşat. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Most financial analysis methods and portfolio management techniques are based on risk classification and risk prediction. Stock return volatility is a solid indicator of the financial risk of a company. Therefore, forecasting ...
  • 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 ...
  • Deep learning-based dependency parsing for Turkish 
    Bilgin, Şaziye Betül. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Dependency parsing is an important step for many natural language processing (NLP) systems such as question answering and machine translation. Turkish, being a morphologically rich language and having a complex grammar, ...
  • Deep packet inspection methods for network intrusion detection and application classification 
    Ateş, Çağatay. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Deep packet inspection methods have become more sophisticated with the rapidly developing technology. To understand the condition of the network, many different packet inspection techniques have been evolved. Newly developing ...
  • Defect prediction for embedded software 
    Oral, Ataç Deniz. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    As ubiquitous computing becomes the reality of our lives, the demand for high quality embedded software in shortened intervals increases. In order to cope with this pressure, software developers need new approaches to ...