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Browsing Master of Science in Computer and Information Science (CIS) by Issue Date

Browsing Master of Science in Computer and Information Science (CIS) by Issue Date

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  • A gate formulation of emotional learning as a model of cognitive processes 
    Grigoryan, Khosrov (2014-07-01)
    With establishment of computer age, interest towards cognitive processes has greatly increased, and comprehension of cognitive phenomena becomes extremely important and of dual value, for not only does it elucidate how ...
  • Web development: frontend using CSS with modern techniques 
    Abajyan, Anna (American University of Armenia, 2018)
    Web technologies are so fast that it is becoming a tough job for businesses as well as developers to keep up the pace. New tools pop up every year letting the old ones go sideways and frontend development is a major part ...
  • Research and development of automated poker playing software 
    Galoyan, Hasmik (American University of Armenia, 2018)
    Poker is an imperfect information game, i.e. the player possesses some information about the state of the game, but not all of it (each player can see his/her own cards and the public cards, but not the cards of the ...
  • A web based DBMS supporting development of Armenian Science Citation Index 
    Abovyan, Davit (American University of Armenia, 2018)
    In the scope of this project a web based data management system should be developed for Armenian Science Citation Index (ASCI) which can later grow into a web portal including complete and comprehensive bibliographical ...
  • Robust principal component analysis 
    Minasyan, Arshak (American University of Armenia, 2018)
    One of the most famous dimensionality reduction methods is Principal Component Analysis (PCA), which is successfully used worldwide. However this method is sensitive to outliers and hence a few number of them cause bias ...
  • Data augmentation for natural language text datasets 
    Vartanian, Anooshik (American University of Armenia, 2018)
    In this thesis, I explored the idea of using data augmentation for text datasets through developing a python application. Chapter one explains the problem statement and what I planned to achieve. Chapter two provides ...
  • Problems regarding fuzzy string processing 
    Harmandayan, Arevik (American University of Armenia, 2018)
    This thesis presents the solutions to the fuzzified dotted string matching and fuzzified string distance problems. These algorithms are modifications of known string matching and string distance algorithms. For each of ...
  • Research and development of automated poker playing software (counterfactual regret minimization) 
    Shmavonyan, Tamara (American University of Armenia, 2018)
    Poker is an imperfect information game, i.e. the player possesses some information about the state of the game, but not all of it (each player can see his/her own cards and the public cards, but not the cards of the ...
  • Implementation and testing of local binary pattern histogram as a method of face recognition 
    Boghosians, Rafi (American University of Armenia, 2018)
    The popularity of the cameras in smart electronic devices led the industries to use them more efficiently. Facial recognition research is one of the favorite topics among practitioners and researchers and is a key to the ...
  • Development of geo-collaborative application for animal support 
    Baghdasaryan, Hovnan (American University of Armenia, 2018)
    As the number of stray animals in Armenia is getting higher, the government is not able to solve the issue of feeding and caring for those animals in a humanly way. However, there are a lot of individuals and some ...
  • Tour guide mobile application 
    Chobanyan, Gor (American University of Armenia, 2018)
    The goal of this project to create an Android application which will help tourists during their travel to Armenia. It provides them with necessary information about places they want to go. As the most of the touristic ...
  • Search on spoken language content inside YouTube videos 
    Mamikonyan, Tigran (American University of Armenia, 2018)
    Every day, millions of people search across YouTube’s billions of videos. The search index is built upon metadata like titles, descriptions and even the content of pages with inbound links. The videos’ image content is ...

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