Software package of EEG analysis
Fen Bilimleri Enstitüsü, Çukurova Üniversitesi, 1997
LEVENT SANDALLIOĞLU
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Multi Channel Brain EEG Signals Based Emotional Arousal Classification with Unsupervised Feature Learning using Autoencoders
2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 15 Mayıs 2017
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
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Multi Channel Brain EEG Signals Based Emotional Arousal Classification with Unsupervised Feature Learning using Autoencoders
2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 15 Mayıs 2017
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
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A deep learning approach to EEG based epilepsy seizure determination
2016 24th Signal Processing and Communication Application Conference (SIU), 16 Mayıs 2016
CILASUN HUSREV,YALÇIN HÜLYA
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Striatal Nöronlar Arasındaki Sinaptik Gecikmenin Thalamusta Elektroensefalogram (EEG) İşaretiÜzerindeki Etkis
ELEKTRİK ELEKTRONİK MÜHENDİSLİĞİ KONGRESİ 2019, 14 Kasım 2019
ÇAKIR YÜKSEL
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Classification of the motor EEG signals by using deep neural networks
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2019
LEYLA ABILZADE
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Real-time emotion recognition from EEG signals using one electrode device
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2017
MEHMET ALİ SARIKAYA
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Classification of ten different motor imagery eeg signals by using deep neural networks
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
NURİ KORHAN
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Exploring the cognitive processes of map users employing eye tracking and EEG
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020
MERVE KESKİN
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Tek sınıf destek vektör makineleri kullanılarak epileptik EEG işaretlerinin sınıflandırılması
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2009
ERCAN AVŞAR
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EEG controlled semi-autonomous mobile vehicle design and implementation
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2019
HÜSEYİN TANZER ATAY
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Motor Imagery Based EEG Classification by Using Common Spatial Patterns and Convolutional Neural Networks
2019 Scientific Meeting on Electrical-Electronics Biomedical Engineering and Computer Science (EBBT), Istanbul/TÜRKİYE, 24 Nisan 2019
KORHAN NURİ,ÖLMEZ ZÜMRAY,ÖLMEZ TAMER
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Classification of Left and Right Hand Motor Imagery EEG Signals by Using Deep Neural Networks
9th International Conference on Advanced Technologies ICAT 2020, İstanbul/TÜRKİYE, 10 Ağustos 2020
ABİLZADE LEYLA,KORHAN NURİ,ÖLMEZ TAMER,DOKUR ZÜMRAY
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Classification of left and right hand motor imagery EEG signals by using deep neural networks
International Journal of Applied Mathematics Electronics and Computers, Vol. 9, Aralık 2021, ISSN: 2147-8228
ABİLZADE LEYLA, KORHAN NURİ, DOKUR ZÜMRAY, ÖLMEZ TAMER
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Classification of left and right hand motor imagery EEG signals by using deep neural networks
International Journal of Applied Mathematics Electronics and Computers, Vol. 9, No. 4, Aralık 2021, s. 85-90, ISSN: 2147-8228
KORHAN NURİ, ABİLZADE LEYLA, ÖLMEZ TAMER, DOKUR ZÜMRAY
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Automated Analysis of the EEG signals for Prediction of Possible Effectiveness of rTMS Treatment in Alzheimer’s Patient
2022 30th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2022
DUZMAN HACER,TORLAK MERYEM,HİNDİ OSAMA,KAYASANDIK CİHAN BİLGE
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Impact of Noise Elimination Methods on Classification Performance in Motor Imagery EEG
Novel and Intelligent Digital Systems: Proceedings of the 4th International Conference (NiDS 2024), Atina/YUNANİSTAN, Vol. 1170, 25 Eylül 2024, s. 78-89, ISSN: 2367-3370
ÖZKAHRAMAN ALİ,DOKUR ZÜMRAY,ÖLMEZ TAMER
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Impact of Noise Elimination Methods on Classification Performance in Motor Imagery EEG
Lecture Notes in Networks and Systems, Vol. 1170, Ekim 2024, ISSN: 2367-3389
ÖZKAHRAMAN ALİ,ÖLMEZ TAMER,DOKUR ZÜMRAY
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Impact of Noise Elimination Methods on Classification Performance in Motor Imagery EEG
Lecture Notes in Networks and Systems, Vol. 1170, Ocak 2024, s. 78-89, ISSN: 2367-3370
ÖZKAHRAMAN ALİ,ÖLMEZ TAMER,DOKUR ZÜMRAY
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Determination of the common electrodes for users and increasing the classification accuracy of motor imagery EEG
Neural Computing and Applications, Aralık 2024, ISSN: 0941-0643
ÖZKAHRAMAN ALİ,ÖLMEZ TAMER,DOKUR ZÜMRAY
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