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Browsing Faculty of Engineering / Mühendislik Fakültesi by Subject "Feature extraction"

Browsing Faculty of Engineering / Mühendislik Fakültesi by Subject "Feature extraction"

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  • A Channel Selection Method for Emotion Recognition From EEG Based on Swarm-Intelligence Algorithms 
    Yildirim, Esen; Kaya, Yasin; Kilic, Fatih (IEEE ACCESS / IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC., 2021-07)
    Increasing demand for human-computer interaction applications has escalated the need for automatic emotion recognition as emotions are essential for natural communication. There are various information sources that can be ...
  • Binary Black Widow Optimization Approach for Feature Selection 
    Keles, Mumine Kaya; Kilic, Umit (IEEE ACCESS / IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022-08)
    Feature selection is a process of reduction of irrelevant, negligible, noisy features from data sets so as to obtain better performance measurements with fewer features. Throughout the literature, various methods are ...
  • Classification of Brain Volumetric Data to Determine Alzheimer's Disease Using Artificial Bee Colony Algorithm as Feature Selector 
    Keles, Mumine Kaya; Kilic, Umit (IEEE ACCESS / IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022-08)
    Alzheimer's disease is a degenerative disease that affects the age progression and causes the brain to be unable to fulfill its expected functions. Depending on the stage, the effects of Alzheimer's disease (AD) vary from ...
  • 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 ...

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