Açık Akademik Arşiv Sistemi

Browsing by Author "TUNCER, Turker/0000-0002-5126-6445"

Browsing by Author "TUNCER, Turker/0000-0002-5126-6445"

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  • CGP17Pat: Automated Schizophrenia Detection Based on a Cyclic Group of Prime Order Patterns Using EEG Signals 
    Aydemir, Emrah; Dogan, Sengul; Baygin, Mehmet; Ooi, Chui Ping; Barua, Prabal Datta; Tuncer, Turker; Acharya, U. Rajendra (MDPI, 2022)
    Background and Purpose: Machine learning models have been used to diagnose schizophrenia. The main purpose of this research is to introduce an effective schizophrenia hand-modeled classification method. Method: A public ...
  • Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection 
    Aydemir, Emrah; Yalcinkaya, Mehmet Ali; Barua, Prabal Datta; Baygin, Mehmet; Faust, Oliver; Dogan, Sengul; Chakraborty, Subrata; Tuncer, Turker; Acharya, U. Rajendra (MDPI, 2022)
    Mask usage is one of the most important precautions to limit the spread of COVID-19. Therefore, hygiene rules enforce the correct use of face coverings. Automated mask usage classification might be used to improve compliance ...
  • L-Tetrolet Pattern-Based Sleep Stage Classification Model Using Balanced EEG Datasets 
    Barua, Prabal Datta; Tuncer, Ilknur; Aydemir, Emrah; Faust, Oliver; Chakraborty, Subrata; Subbhuraam, Vinithasree; Tuncer, Turker; Dogan, Sengul; Acharya, U. Rajendra (MDPI, 2022)
    Background: Sleep stage classification is a crucial process for the diagnosis of sleep or sleep-related diseases. Currently, this process is based on manual electroencephalogram (EEG) analysis, which is resource-intensive ...