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Browsing by Subject "Computer Science"

Browsing by Subject "Computer Science"

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  • A distributed measurement architecture for inferring TCP round-trip times through passive measurements 
    Abut, Fatih (TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES / TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2019)
    The round-trip time (RTT), defined as the time elapsed for transmission of a data packet to travel from one endpoint to the other and back again, is an important parameter for Internet quality. This paper proposes an ...
  • A Review of Distance Learning and Learning Management Systems 
    Keles, Mumine Kaya; Ozel, Selma Ayse (VIRTUAL LEARNING / INTECH EUROPE, 2016)
    In recent years, rapid developments in technology and the web have led to many changes in education. One of the most important changes in education is in the form of distance learning. Distance learning, which is used to ...
  • A robust ensemble feature selector based on rank aggregation for developing new VO(2)max prediction models using support vector machines 
    Abut, Fatih; Akay, Mehmet Fatih; George, James (TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES / TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2019)
    This paper proposes a new ensemble feature selector, called the majority voting feature selector (MVFS), for developing new maximal oxygen uptake (VO(2)max) prediction models using a support vector machine (SVM). The ...
  • Explode: An Extensible Platform for Differentially Private Data Analysis 
    Esmerdag, Emir; Gursoy, Mehmet Emre; Inan, Ali; Saygin, Yucel (International Conference on Data Mining Workshops / IEEE, 2016)
    Differential privacy (DP) has emerged as a popular standard for privacy protection and received great attention from the research community. However, practitioners often find DP cumbersome to implement, since it requires ...
  • Prediction of gross calorific value of coal based on proximate analysis using multiple linear regression and artificial neural networks 
    Acikkar, Mustafa; Sivrikaya, Osman (TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES / TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2018)
    Gross calorific value (GCV) of coal was predicted by using as-received basis proximate analysis data. Two main objectives of the study were to develop prediction models for GCV using proximate analysis variables and to ...
  • Scale-invariant MFCCs for speech/speaker recognition 
    Tufekci, Zekeriya; Disken, Gokay (TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES / TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2019)
    The feature extraction process is a fundamental part of speech processing. Mel frequency cepstral coefficients (MFCCs) are the most commonly used feature types in the speech/speaker recognition literature. However, the ...
  • Theoretical analysis of doping management and its effects on power scaling 
    Tandirovic Gursel, Amira; Elahi, Parviz; Ilday, Fatih Omer; Ozyazici, Mustafa Sadettin (TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES / TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2016)
    Thermal load and nonlinear effects are two contrary phenomena that make up important drawbacks in rapid progress of high-power fiber lasers. To minimize the thermal load, which limits the average power, doping concentration ...