Detaylı Arama
İptal
Bulunan: 5 Adet 0.002 sn
- Eklemek veya çıkarmak istediğiniz kriterleriniz için 'Dahil' / 'Hariç' seçeneğini kullanabilirsiniz. Sorgu satırları birbirine 'VE' bağlacı ile bağlıdır.
- İptal tuşuna basarak normal aramaya dönebilirsiniz.
Filtreler
Filtreler
Bulunan: 5 Adet 0.002 sn
Yazar : Zeki ORALHAN ✕WOS Kategorileri : SCI SCI Eaxp SSCI AH ... ✕
Koleksiyon [5]
İlgili Araştırmacılar [2]
Tam Metin [1]
Tür [1]
Yazar [2]
Konu Başlıkları [17]
Açık Erişim Tarihi [1]
Tarih [3]
Dizin Platformu [2]
İsmi Geçen [2]
WOS Kategorileri [1]
Erişime Açık

Smart city a plication: Internet of things (IOT) technologies eased smart waste collection using data mining approach and ant colony optimization

Zeki ORALHAN | Burcu ORALHAN

Globally today, Living in urban areas is more preferred than in living rural areas. This situation creates many problem for urban living. One of the big problem is waste management in urban areas. Optimizing waste collection has become very important phenomenon for being smart city. In this study, we aimed to optimize waste collection for reduce both cost of collection and pollution effect of environment. We designed a garbage container integrated sensors for measuring fill level of container, temperature, and ratio of carbon dioxide inside the container. We transmitted all information to our ...Daha fazlası

Makale/Derleme 2017 International Arab Journal of Infırmation Technology 5 Görüntülenme
Erişime Açık

2 Stages-region-based p300 speller in brain-computer ınterface

Zeki ORALHAN

Brain–computer interface (BCI) applications present communication model without using peripheral nerves and neuromuscular systems. The P300 waves are used in BCI applications. Signal classification accuracy is a significant parameter for P300 BCI application. In this study, our goal is to investigate P300 speller structure for higher classification accuracy. There are a lot studies about P300 speller variations of stimulus model. This models mostly includes about row–column-based visual or audio stimuli model P300 spellers. But there is not enough study about region-based P300 spellers. This s ...Daha fazlası

Makale/Derleme 2019 IETE Journal of Research 5 Görüntülenme
Erişime Açık

A new paradigm for region-based p300 speller in brain computer ınterface

Zeki ORALHAN

Electroencephalography-based brain computer interface systems could provide alternative communication methods for severely disabled people who cannot use their neuromuscular systems. The P300 signal is one of the event related potentials that are used for brain computer interface systems. The most important performance parameter of a P300 based brain computer interface system is information transfer rate that is calculated by using classification accuracy and P300 signal detection time. Moreover, P300 speller has a very critical role for classification accuracy and information transfer rate in ...Daha fazlası

Makale/Derleme 2019 IEEE Access 8 Görüntülenme
Erişime Açık

Advanced SSVEP stimulator for brain-computer ınterface and signal classification with using convolutional neural network

Zeki ORALHAN

Steady-state visual evoked potential, type of electroencephalography (EEG) signal, that is used for brain–computer interface systems are considered in this Letter. Steady-state visual evoked potential stimulator is needed for realising the signal on the scalp. Besides, information transfer rate is the most significant parameter to evaluate overall performance of a brain–computer interface. EEG signal classification methods, task completion time, and signal stimulator structure affect information transfer rate values. In this Letter, the authors aimed to reach a high information transfer rate b ...Daha fazlası

Makale/Derleme 2019 Electronics Letter 4 Görüntülenme
Erişime Açık

3D Input convolutional neural networks for p300 signal detection

Zeki ORALHAN

P300 signal is an endogenous event related potential component. It is mostly elicited from the frontal to parietal brain lobes. Electroencephalography is used for acquiring P300 signal from scalp. P300 signal is used for brain-computer interface systems. P300 based brain-computer interface systems are preferable since they have high overall performance. The most significant overall performance indicator is information transfer rate for P300 based brain-computer interface systems. P300 signal detection accuracy and P300 detection time are using for information transfer rate calculation. Hence, ...Daha fazlası

Makale/Derleme 2020 IEEE ACCESS 10 Görüntülenme
6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.
Tamam
creativecommons
Bu site altında yer alan tüm kaynaklar Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.
Platforms