Browsing Theses (Master's and Ph.D) – Computer Engineering by Title

EMU I-REP

Browsing Theses (Master's and Ph.D) – Computer Engineering by Title

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  • An Energy Efficient Clustering Algorithm for Wireless Sensor Networks (EECA) 
    Zawaideh, Firas (Eastern Mediterranean University (EMU), 2012)
    ABSTRACT: Energy conservation has a main priority in all technology and engineering field. Most current applications that consume energy can be customized or optimized in a process resulting less energy consumption. During ...
  • Energy efficient clustering for wireless sensor networks with mobile base station (ECMBS) 
    Gasim, Ahmad S. (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2013-01)
    In recent years, wireless sensor networks (WSNs) have received increasing attention from both the research community and actual users. As sensor nodes are generally battery-powered devices, an important aspect concerns how ...
  • Energy-Efficient Management for Dynamic Consolidation of Virtual Machines in Cloud Data Centers under QoS Constraints 
    Alsbatin, Loiy (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2019)
    Dynamic Virtual Machine (VM) consolidation effectively reduces energy consumption and improves the utilization of resources in data centers. Reallocating VMs from an overloaded Physical Machine (PM) maximizes the utilization ...
  • Enhancement of Vehicle License Plate Images by Temporal Filtering 
    Abdulqader, Diler Naseradeen (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2017)
    Optical Character recognition is used widely as a tool in intelligent transportation systems for recognition of the car license plate from a still image or video. The accuracy of Optical Character Recognition partially ...
  • Evaluation of Software Development Stages for Turkish Cypriot Companies 
    Koru, Begüm (Eastern Mediterranean University EMU - Doğu Akdeniz Üniversitesi (DAÜ), 2017-09)
    process is a set of activities that are used to produce software. The presentation of a simplified software process is shown in a special perspective such as workflow, data flow and role-action. There are some models ...
  • Evolutionary Design of Radial Basis Function Neural Network for Data Modelling 
    Kaplan, Alparslan (Eastern Mediterranean University (EMU), 2012)
    ABSTRACT: In this thesis, implementation of Radial Basis a Function Neural Network (RBFNN) using genetic algorithm is described. The developed algorithm is used to model a certain dataset by training a RBFNN using some ...
  • An Evolutionary Multi-Objective Approach for Fuzzy Vehicle Routing Problem 
    Sherinov, Zhavat (Eastern Mediterranean University (EMU), 2011)
    In this thesis, Evolutionary Multi-objective Optimization Algorithm for solving Fuzzy Vehicle Routing Problem (FVRP) is described. FVRP is an extension of VRP with Time Windows, which is one of the variants of VRP. In ...
  • Experimental Evaluation of Feature Extraction Schemes for Face Recognition 
    Parchami, Shaghayegh (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2015-02)
    ABSTRACT: In this thesis, we studied the use of Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and Gabor wavelets for face recognition. Both PCA and LDA are applied for the extraction of features ...
  • An Experimental Study on the Effect of Using the Wrongly Spelled and/or Pronounced Turkish Words on Web Search Engines 
    Şeyda, Türker (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2015-02)
    ABSTRACT: This study investigates how the Web search engines handle Turkish words which are frequently wrongly spelled and/or pronounced with their own particular wrong form(s). First of all, the three most popular ...
  • Face Recognition using Localized Facial Features 
    Şıker, Fatma (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2014-06)
    ABSTRACT: Face is a complex multi-dimensional structure and needs good computing biometric techniques for recognition. The aim of this study is to understand the role of each localized facial feature component in face ...
  • Face Recognition Using Random Forest Classifiers Based on PCA, LDA and LBP Features 
    Mehri, Armin (Eastern Mediterranean University EMU - Doğu Akdeniz Üniversitesi (DAÜ), 2017-01)
    Face is the main part of human beings to distinguish from one another. Face recognition system mainly takes an image as an input and compares this image with a number of images stored in the database to identify whether ...
  • Facial Age Classification Using Geometric Ratios and Wrinkle Analysis 
    Izadpanahi, Shima (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2014-06)
    Age group classification is the process of automatically determining an individual’s age range based on features extracted from facial image. It plays an important role in many real-life applications such as age specific ...
  • Feature Selection in High Dimensional Spaces 
    Sheikhi, Ghazaal (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2020)
    In this study, two novel filter feature selection approaches are proposed as alternatives to state-of-the-art. The first proposed approach is a greedy-based feature selection method where redundancy is replaced by diversity ...
  • Feature Selection Using Co-occurrence of Terms for Binary Text Classification 
    Mashak, Marzieh Vahabi (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2015-02)
    ABSTRACT: In this thesis, term selection for text categorization is addressed. Three widely used schemes are employed for this purpose, namely Chi-square (x2), Gini_index and Discriminative Power Measure (DPM). The ...
  • Fruit Classification using Global and Local Descriptors 
    Nwigbo, Chukwudi Kevin (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2020-01)
    Recognizing different kinds of food such as vegetables and fruits is a recurrent task in supermarkets where the cashier must be able to point out not only the species of a particular fruit but also its variety which will ...
  • Functional Magnetic Resonance Image (FMRI) Based Brain Activity Classification 
    Far, Mehran Sahandi (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ)., 2013-07)
    Functional Magnetic Resonance Imaging (FMRI) is a powerful tool to predict the current activity in the human brain. With the help of machine learning tools, the cognitive function of the human brain can be automatically ...
  • Fusion of Face and Iris Biometrics for Person Identity Verification 
    Eskandari, Maryam (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2014-05)
    This thesis focuses on fusion of multiple biometric systems in different fusion levels especially score level fusion and feature level fusion. Generally, multimodal biometrics based systems aim to improve the recognition ...
  • Fusion of Hand-crafted Descriptors with CNN-based Features for Facial Age Estimation 
    Taheri, Shahram (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2019)
    Age estimation from facial images is an important application of biometrics. In contrast to other facial variations like occlusions, illumination, misalignment and facial expressions, ageing variation is affected by human ...
  • Fusion of Multi-stage CNN Features for ECG Classification 
    Golrizkhatami, Zahra (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2018-12)
    ABSTRACT: Detecting and classifying cardiac arrhythmias is critical to the diagnosis of patients with cardiac abnormalities. Identification and classification of abnormalities are time consuming because it often requires ...
  • Fusion of Palmprint, Palm Vein and Dorsal Hand Vein for Personal Identification 
    Farshgar, Abdolrahman (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2020-09)
    Security is one of the major concerns of human beings in the 21st century. Many forensic and governmental sections now have trusted biometric systems to provide high levels of security for them. Lots of researchers ...