Investigation of the Effects of Statistically Significant Features on the Classification of EEG-Based Motor Imagery Tasks

Murside Degirmenci

Motor imagery (MI) task classification is highly prevalent in Electroencephalography (EEG)-based Brain-Computer Interface (BCI) research area. Extremity movement task classification and finger movement classification studies are presented in this thesis. In extremity movement classification, binary-class (right hand and left hand) and multi-class (right hand, left hand, right hand, and left hand) classifications are performed using 4 different feature extraction approaches and statistically significance-based feature selection (the independent t-test, one-way ANOVA test). Firstly, time- ...Daha fazlası

Doktora Tezi 2024 Yalçın İşler İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 6 Görüntülenme

Süreli Ambargo

Production and Characterization of Self-Cleaning Clay-Based Roofing Tiles as a Building Material for Environmental Remediation

AHMET YAVAŞ

Within the scope of this thesis, two different semiconductor metal oxide coated visible light-driven self-cleaning clay-roofing tiles have been developed for environmental remediation. A ready-made commercial clay mixture was used for the production of photoactive roofing tiles with iron oxide (α-Fe2O3 phase) and zinc oxide (ZnO) applied as coatings. The main objectives are both to ensure that the applied coatings provide self-cleaning properties by maintaining or even improving the desired physical properties of the tiles and to optimize the firing temperature and coating concentration parame ...Daha fazlası

Doktora Tezi 2024 Fethullah GÜNEŞ İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 0 Görüntülenme Ambargo Kalkış : 16.02.2025