Yazar "Ergün, Ebru" için listeleme
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Artificial intelligence approaches for accurate assessment of insulator cleanliness in high-voltage electrical systems
Ergün, Ebru (Springer, 2024)String insulators play a critical role in electrical grids by isolating high voltage and preventing energy dispersion through the tower structure. Maintaining the cleanliness of these insulators is essential to ensure ... -
Classification of brain responses to the various spice odors
Aydemir, Önder; Altun, Hilal; Ergün, Ebru (Ieee, 2018)Since one of the main goal of the human brain is to take and evaluate stimuli that comes from sensory organs, it is possible to measure their functionality. in this study we classified the electroencephalography signals ... -
Classification of electroencephalography signals recorded during olfaction of some spices
Altun, Hilal; Ergün, Ebru; Aydemir, Önder (Ieee, 2018)Responses to different information from the sensory organs of the brain can be analyzed by various brain imaging techniques. Among these techniques, electroencephalography (EEG) is widely used because it is performed at a ... -
Classification of motor imaginary based near-infrared spectroscopy signals
Ergün, Ebru; Aydemir, Önder (Ieee, 2018)Near Infrared spectroscopy (NIRS) is a brain imaging technique that measures hemodynamic activity in the human brain cortex with special wavelengths (infrared) in the light. the use of this technique in brain-computer ... -
Decoding of binary mental arithmetic based near infrared spectroscopy signals
Ergün, Ebru; Aydemir, Önder (Ieee, 2018)There has been an increase interest for functional near-infrared spectroscopy (MRS) in recent years since it is a non-invasive technique as well as few restrictions to the subjects and not affected by electrical noise. in ... -
Deep learning based multiclass classification for citrus anomaly detection in agriculture
Ergün, Ebru (Springer, 2024)In regions where citrus crops are threatened by diseases caused by fungi, bacteria, pests and viruses, growers are actively seeking automated technologies that can accurately detect citrus anomalies to minimize economic ... -
EEG+YKS tabanli beyin bilgisayar arayüzü sistemlerinde makine öğrenme tekniklerinin kullanimina i̇lişkin i̇nceleme
Ergün, Ebru; Aydemir, Önder; Korkmaz, Onur Erdem (2024)Beyin-bilgisayar arayüzü (BBA), kişinin beyin aktivitesini algılayan ve bu aktiviteyi bir bilgisayar veya diğer dış cihazlarla iletişim kurmak için kullanılabilir bir formata çeviren sistemdir. BBA sistemleri için çeşitli ... -
Etkin epoklar ile motor hayaline dayalı EEG işaretlerinin sınıflandırma doğruluğunun artırılması
Ergün, Ebru; Aydemir, Önder (2018)Beyin bilgisayar arayüzleri (BBA) sadece beyinde üretilen işaretleri kullanarak çeşitli elektronik cihazları kullanmayı olanaklı hale getiren sistemlerdir. Bu sistemlerin yüksek başarımlı olabilmesi için bu işaretlerden ... -
A hybrid BCI using singular value decomposition values of the fast walsh-hadamard transform coefficients
Ergün, Ebru; Aydemir, Önder (IEEE, 2023)One of the main goals of a brain computer interface (BCI) is to enable a communication channel between the brain and electronic devices by converting neural activity into control commands either for devices or applications. ... -
Investigating the informative brain region in multiclass electroencephalography and near infrared spectroscopy based BCI system using band power based features
Ergün, Ebru; Aydemir, Önder; Korkmaz, Onur Erdem (Taylor & Francis Ltd., 2024)In recent years, various brain imaging techniques have been used as input signals for brain-computer interface (BCI) systems. Electroencephalography (EEG) and near-infrared spectroscopy (NIRS) are two prominent techniques ... -
A new evolutionary preprocessing approach for classification of mental arithmetic based EEG signals
Ergün, Ebru; Aydemir, Önder (Springer, 2020)Brain computer interface systems decode brain activities from electroencephalogram (EEG) signals and translate the user's intentions into commands to control and/or communicate with augmentative or assistive devices without ... -
A robust and subject-specific sequential forward search method for effective channel selection in brain computer interfaces
Aydemir, Önder; Ergün, Ebru (Elsevier Science Bv, 2019)Background: the input signals of electroencephalography (EEG) based brain computer interfaces (BCI) are extensively acquired from scalp with a multi-channel system. However, multi-channel signals might contain redundant ...
