Kevseroğlu Kurban, Özlem

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Profile URL
https://hdl.handle.net/20.500.12573/2700
Name Variants
Kevseroglu, Oztem
Kevseroğlu, Özlem
Kurban, Özlem
özlem kevseroğlu
Kevseroğlu, Ozlem
Job Title
Dr. Öğr. Üyesi
Email Address
ozlem.kevseroglu@agu.edu.tr
Main Affiliation
05.01. Mimarlık
05. Mimarlık Fakültesi
01. Abdullah Gül University
Status
Current Staff
Website
ORCID ID
0000-0003-1828-2256
Scopus Author ID
56545784200
Turkish CoHE Profile ID
Google Scholar ID
BKw0fu4AAAAJ
WoS Researcher ID
JVE-1703-2024
Files
5161_Özlem Kevseroğlu.jpg (7.82 KB)

Sustainable Development Goals

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DECENT WORK AND ECONOMIC GROWTH
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INDUSTRY, INNOVATION AND INFRASTRUCTURE
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SUSTAINABLE CITIES AND COMMUNITIES
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LIFE ON LAND
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-- 2024 Cognitive Models and Artificial Intelligence Conference, AICCONF 2024 -- Istanbul -- 2004871
A/Z ITU Journal of the Faculty of Architecture1
Milli Folklor1
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  • Thumbnail Image
    Conference Object
    Citation - Scopus: 1
    Re-Exploring the Kayseri Culture Route by Using Deep Learning for Cultural Heritage Image Classification Cultural Heritage Image Classification by Using Deep Learning: Kayseri Culture Route
    (Association for Computing Machinery, 2024) Kevseroğlu, Ozlem; Kurban, Rifat
    The categorization of images captured during the documentation of architectural structures is a crucial aspect of preserving cultural heritage in digital form. Dealing with a large volume of images makes this categorization process laborious and time-consuming, often leading to errors. Introducing automatic techniques to aid in sorting would streamline this process, enhancing the efficiency of digital documentation. Proper classification of these images facilitates improved organization and more effective searches using specific terms, thereby aiding in the analysis and interpretation of the heritage asset. This study primarily focuses on applying deep learning techniques, specifically SqueezeNet convolutional neural networks (CNNs), for classifying images of architectural heritage. The effectiveness of training these networks from scratch versus fine-tuning pre-existing models is examined. In this study, we concentrate on identifying significant elements within images of buildings with architectural heritage significance of Kayseri Culture Route. Since no suitable datasets for network training were found, a new dataset was created. Transfer learning enables the use of pre-trained convolutional neural networks to specific image classification tasks. In the experiments, 99.8% of classification accuracy have been achieved by using SqueezeNet, suggesting that the implementation of the technique can substantially enhance the digital documentation of architectural heritage. © 2024 Elsevier B.V., All rights reserved.
  • Thumbnail Image
    Article
    Citation - Scopus: 3
    The Evaluation of the Integration of Industrial Heritage Areas to Urban Landscape: The Case Study Of Sumerbank Kayseri Cotton Factory
    (Istanbul Teknik Universitesi, Faculty of Architecture itudergisi@itu.edu.tr, 2015) Kevseroğlu, Ozlem; Kubat, Ayşe Sema
    The aim of this study is to develop an urban design strategy for the revitalization of post-industrial areas and the railway line in Kayseri–an industrialized city in Central Anatolia, Turkey. With the developments in 1930s, Kayseri became one of the modern cities of the Turkish Republic. In parallel with the world’s history of industrialization, Kayseri Sümerbank Cotton Factory was established in 1935 nearby the rail line in order to benefit from transportation and marketplace facilities. The current design of the Factory is characterized by the hostile layout of the railway tracks, which inhibits pedestrian access and segregates the area from the city center. This segregated circumstance is evaluated and new design strategies are developed with the aim of converting the isolated area into an innovative park design including sustainable, mixed-used functions for creating a pedestrian-friendly environment. The basic concepts and the methods of Space syntax are adapted to develop a new strategy for this Brownfield site by analyzing the relationship between the urban form, the pattern of movement and space use. The proposed design project is an integrated approach to land-use, transportation, green space and sustainable development that will create a framework for the future growth of the City of Kayseri and lead to a vibrant and livable city with an enhanced quality of urban life. © 2020 Elsevier B.V., All rights reserved.
  • Thumbnail Image
    Article
    Citation - Scopus: 2
    Understanding Intangible Aspects of Cultural Landscape; Living Cultures of Northeast Kayseri Valleys
    (Geleneksel Yayincilik Ltd Stl, 2021) Kevseroglu, Oztem; Ayatac, Hatice; Yoney, Nilufer Baturayoglu
    Sustaining cultural landscapes requires the conservation of socio-cultural characteristics as well as their physical manifestations. It is essential to document and conserve tangible and intangible elements of heritage in an integrated manner as cultural heritage consists of "both tangible and intangible works through which the creativity of a people finds expressions". These include but may not be limited to social practices, daily lives, rituals, traditional craftsmanship, know-how, techniques and skills, historic places, buildings, public spaces and objects. Finding the means of understanding and safeguarding intangible cultural heritage and its transmission to next generations is vital for the preservation of tangible heritage and its characteristics. This paper reviews the development of the concepts of intangible cultural heritage and cultural landscapes, and the interrelationship between tangible and intangible cultural heritage. Their interaction opens up new approaches to cultural heritage and its conservation. The case study focuses on the cultural landscape features of Kayseri's Northeast Valleys, Koramaz, Gesi and Derevenk, in terms of their tangible and intangible heritage elements and values. The methodology, therefore, proposes the integrated documentation and analysis of these tangible and intangible cultural heritage characteristics. The area had a multi-cultural, ethnic and religious social structure, which shaped its elements through human-nature interaction. However, demographic changes within the last century transformed daily-life practices. The research is based on in-depth interviews with local residents, analysis of archival sources and documentation of the physical remains in the field. The results highlight the traditional crafts and production techniques as daily-life practices; some of these are still continued at the present while others are not practiced anymore. Those practiced in the recent past are carried to our day through the remembrances and accounts of the elders. The documentation of these practices forms the first step for their revival and sustainability for the future and provide valuable tools for the development of principles and strategies with this purpose. Understanding the physical, natural and socio+ layers of tangible and intangible cultural heritage is essential in this context. Their promotion and the inclusion of local stakeholders in the conservation process is the only solution for the integrated conservation of these cultural landscapes in terms of a living heritage approach.