Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395
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Conference Object Citation - Scopus: 2Re-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, 2024-05-25) Kevseroğlu, Ozlem; Kurban, RifatThe 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.Article Citation - Scopus: 3The 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; Kevseroğlu Durmuş, ÖzlemThe 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.