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eResearch@Ozyegin is an academic, open-access repository. It aims to collect, preserve and make Ozyegin University’s scientific output available online, without any or the least financial, legal or technical restrictions, in order to increase the impact and the visibility of the institution and its authors. It was established in 2010 to support the dissemination of knowledge produced by the University members to the wider community both locally and globally.

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Türk Edebiyatında Tefrika Roman Tarihi

Diachronic urban morphology: The formation process of Ait Ben Haddou, Morocco

Saidi, Imane; Camiz, Alessandro (U+D edition, Rome, 2024)

This research focuses on the Ksar (Ighrem) Ait Ben Haddou, an outstanding example of well-preserved settlement in Southern Morocco. This fortified town is located in a semi-desert basin near the city of Ouarzazate, on ...
Molecular modeling of MOF membranes for gas separations

Fındıkçı, İlknur Eruçar; Keskin, S. (World Scientific Publishing Co., 2017-01-01)

Metal organic frameworks (MOFs) have received significant attention as membrane materials in the last decade. MOFs typically have high porosities, tunable pore sizes, large surface areas, reasonable thermal and mechanical ...
Evaluation of code provisions for seismic performance of unachored liquid storage tanks

Erkmen, Bülent (National Technical University of Athens, 2017)

Seismic performance of two unanchored liquid-storage tanks with tank diameter of 24.5 m and 36 m and operating liquid height of 12.2 m and 20.0 m, respectively were investigated using Coupled Eulerian-Lagrangian (CEL) and ...
Verbs of motion in the modern Turkish (means of movement)

Napolnova, Elena (Institute of Linguistic, 2017)

One of the Turkish language qualities is to have different expressions of method and of the direction of traditional means of movement. The article investigates real and metaphorical meanings of verbs of movement on the ...
CL-FedFR: Curriculum learning for federated face recognition

Dube, D. C.; Eroğlu Erdem, Ciğdem; Korcak, O. (SciTePress, 2024-02-29)

Face recognition (FR) has been significantly enhanced by the advent and continuous improvement of deep learning algorithms and accessibility of large datasets. However, privacy concerns raised by using and distributing face ...