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This study presents a comparative analysis of post-earthquake recovery governance in Türkiye and Japan, focusing on the 1999 Kocaeli, 2011 Tōhoku, and 2023 Kahramanmaraş earthquakes. Employing qualitative document analysis and cross-case timeline mapping, it e…

This paper explores the role of archival study in exploring site integrity within the Historic Urban Landscape (HUL) framework, using the case of Islamic heritage sites in Java, Indonesia. In contexts where material traces have been lost or obscured, archival …

This study presents a comprehensive overview of biophilic design research that incorporates ecological considerations, specifically focusing on energy efficiency, thermal comfort, and sustainability. While biophilic design has traditionally emphasized human we…

This study presents a Hybrid Digital-Physical Risk Management Framework designed to enhance urban climate resilience through the integration of Industry 4.0 technologies. By combining real-time IoT sensor networks, AI-based predictive analytics, and blockchain…

Afet risklerinin azaltılmasında, fiziksel zarar görebilirlik düzeylerinin mekânsal olarak belirlenmesi ve görselleştirilmesi, kentsel dayanıklılığın artırılması açısından kritik bir öneme sahiptir. Bu çalışma, Amasya kent merkezinde afet kaynaklı fiziksel kırı…

Courtyards hold significant functional value in both traditional and contemporary architecture. They serve as open-air spaces that facilitate social interaction for users within urban environments. In order for these spaces to be utilized more efficiently by u…

This study offers a comparative analysis of construction risk management practices in the United Kingdom (UK) and Türkiye, focusing on regulatory frameworks, technological integration, and practical methodologies. The UK, utilizing the Construction (Design and…

Microalgae are recognized as environmentally sustainable and biologically renewable resources for the production of high-value products such as biomass, biofuels, dietary supplements, and pharmaceuticals. However, their large-scale cultivation is highly sensit…

In this study, a classification problem is discussed to predict whether individuals' annual income levels are above $50,000. The UCI Adult Income Dataset, which is derived from the 1994 US Census (Census) data and is widely used in the field of machine learnin…

Healthcare fraud, waste, and abuse (FWA) are among the most significant drivers of financial inefficiency in healthcare systems worldwide, with estimates suggesting they contribute to as much as 10% of total healthcare expenditures. In the United States, these…

Heritage restoration projects face numerous challenges, including the preservation of historical accuracy, effective stakeholder collaboration, and maintaining transparent records of interventions. This paper proposes a theoretical framework that integrates Bu…

Interior lighting profoundly affects health, perception, and comfort. This study investigates key lighting parameters—intensity, spectrum, exposure timing, and spatial layout—and their physiological and psychological effects. Based on scenario simulations, thi…

A universally applicable “optimal photobioreactor” design has yet to be established, as the success of such systems varies depending on the algal species used, environmental conditions, and intended applications. Meanwhile, the accelerating pace of climate cha…

With the help of ability to imitate the biological nervous system, Spiking Neural Networks (SNNs) architectures have become popular recently. In order to benefit at the maximum level from the low power consumption, event-based structure and parallelization fea…

Predictive maintenance (PdM) enhances industrial operational efficiency by facilitating timely detection of equipment failures using machine learning models developed from historical maintenance data.  Real-world industrial datasets frequently exhibit signific…

Author research interest is using AI tools in learning in any field connected with education. In this study proposes the idea of how to make the educational process more flexible in the post-pandemic period using the Artificial Intelligence (AI) technologies. …

Bu çalışma, afet risk algısının kırılgan gruplar üzerindeki belirleyici etkilerini irdeleyerek, toplumsal eşitsizliklerin afet yönetimi süreçlerindeki rolünü görünür kılmayı amaçlamaktadır. Nitel içerik analizine dayalı olarak yürütülen araştırmada, kadınlar, …

This study investigates the return on investment (ROI) of Building Information Modelling (BIM) in the construction industry and addresses common barriers to its adoption such as high start-up costs and lack of familiarity with the technology. Despite its prove…

Cities consume over two-thirds of the world’s energy and account for more than 70% of global CO₂ emissions. Given these negative impacts, cities are major contributors to climate change, one of the most pressing challenges of the 21st century. As dynamic organ…

Bu çalışma, kadın dostu kent yaklaşımı çerçevesinde kent parklarının toplumsal cinsiyet eşitliği odaklı bir bakışla değerlendirilmesini amaçlamaktadır. Kentte kadınların kamusal mekânları kullanım biçimleri, yaşadıkları sorunlar ve mekânsal beklentileri üzerin…