Vol. 9 No. 4 (2021)

View Vol. 9 No. 4 (2021)

This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 9, No. 4, 2021) explores a wide range of machine learning applications, including EEG signal classification, beetle species identification, geographical region analysis, solar irradiance forecasting, organ transport cooling systems, distracted driving detection, and epileptic seizure prediction using DWT features.

Published: 31-12-2021

Research Articles

  • Classification of left and right hand motor imagery EEG signals by using deep neural networks

    Nuri KORHAN, Leyla ABILZADE, Taner ÖLMEZ, Zümray Dokur ÖLMEZ
    85-90
    DOI: https://doi.org/10.18100/ijamec.995022

  • The Genus-Level Identification of Leaf Beetles (Coleoptera: Chrysomelidae) From Habitus Images with Convolutional Neural Network Classification

    Mahmut TOKMAK, Ismail ŞEN
    91-96
    DOI: https://doi.org/10.18100/ijamec.989263

  • A classification study for re-determination of the geographical regions: the case of Turkey

    Burcu DURMUŞ, Öznur IŞÇI GÜNERI
    97-102
    DOI: https://doi.org/10.18100/ijamec.988273

  • A comparison of machine learning algorithms for forecasting solar irradiance in Eskişehir, Turkey

    Ozan AYKO, Sinem BOZKURT KESER
    103-109
    DOI: https://doi.org/10.18100/ijamec.995506

  • Organ Transportation Thermoelectric Cooling System Design and Application

    Yavuz Selim TASPINAR, Prof. Dr. Hakan IŞIK
    110-115
    DOI: https://doi.org/10.18100/ijamec.1031379

  • Distracted Driving Detection with Machine Learning Methods by CNN Based Feature Extraction

    Shafeeq Kanaan Shakir AL-DOORI, Yavuz Selim TASPINAR, Murat KOKLU
    116-121
    DOI: https://doi.org/10.18100/ijamec.1035749

  • Classification of Epileptic EEG Signals Using DWT-Based Feature Extraction and Machine Learning Methods

    Abdulkadir SADAY, Ilker Ali OZKAN
    122-129
    DOI: https://doi.org/10.18100/ijamec.988691