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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…

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…

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…

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 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…

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, …

Maritime vessel detection in satellite images address real time issues such as maritime security, illegal fishing and environmental monitoring, which require efficient tracking of vessels in large scale. Maritime vessel detection is challenged by limited annot…

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…

Solar photovoltaic (PV) systems are widely adopted for sustainable energy production; however, physical defects such as glass breakage significantly reduce panel efficiency and system output. In this study, a real-world case analysis was conducted on a 1003 kW…

Kadınlar, gündelik yaşamda suyun temini, kullanımı ve korunmasında kritik roller üstlenmelerine rağmen, su yönetimi politikalarında yeterince temsil edilmemektedir. Bu çalışma, Amasya Merkez ilçesinde farklı yaş, eğitim ve meslek gruplarından 60 kadınla gerçek…

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…

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…

Engelli bireylerin toplumsal yaşama eşit, bağımsız ve etkin biçimde katılımı, yapılı çevrenin erişilebilirliği ile doğrudan ilişkilidir. Bu bağlamda, çalışmanın temel amacı, Erzurum ili Palandöken ilçesinde yer alan Engelsiz Yaşam Parkı’nın fiziksel erişilebil…

Brain tumor is a progressive disease that significantly affects human life. These diseases can reduce the quality of life by causing losses in motor and cognitive functions. Since the chance of treatment decreases when not diagnosed early, advanced technologie…

Accurate and transparent blood glucose forecasting is crucial for effective diabetes management. This paper presents an interpretable deep learning (DL) framework based on multi-task learning (MTL) for forecasting glucose levels at multiple prediction horizons…

Diabetes is a chronic disease affecting millions worldwide, necessitating early and accurate diagnosis for effective management. Traditional diagnostic methods, while reliable, often struggle with efficiency and early-stage detection. Deep learning has emerged…

Robust object detection and classification in dynamic industrial scenarios is still a challenge, in particular if the system has to work in real-time on mid-ranged hardware. Classical vision-based methods have difficulties to cope with low/weak illumination, r…

Heritage buildings are valuable cultural and historical assets that create tangible connection to our past and provide many social and economic benefits. These buildings are often threatened by various environmental and human factors, which impose the need for…

Few ancient structures inspire spiritual reverence and architectural awe like the Roman Pantheon. Designed as a temple and a cosmological instrument, the Pantheon depicts how Roman architects transformed daylight into a divine symbol. This paper examines the s…

In this study, diabetes prediction was conducted using XGBoost, Support Vector Machines (SVM), and a Multilayer Artificial Neural Network (ANN). Attributes that cannot be biologically ‘0’ (e.g. glucose, BMI) were first marked as NaN. After filling the missing …