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The rapid growth of city populations and the increasing complexity of managing city infrastructure have led to the emergence of smart cities, which rely on advanced technologies to optimise urban services. However, one of the key challenges facing smart cities…

Moda endüstrisinde hızlanan üretim ve tüketim döngüsü ciddi çevresel sorunlara yol açmaktadır. Bu nedenle sürdürülebilir tasarım ve üretim uygulamaları büyük önem kazanmıştır. Temelleri 1960’lı yıllarda atılan sürdürülebilirlik hareketi, moda endüstrisinde çev…

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…

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…

This study presents a comparative evaluation of five widely adopted blockchain consensus algorithms—Proof of Work (PoW), Proof of Stake (PoS), Delegated Proof of Stake (DPoS), Practical Byzantine Fault Tolerance (PBFT), and Proof of Authority (PoA)—based on en…

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…

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…

Efficient semantic segmentation and compression of 3D point cloud data are essential for enabling scalable, real-world applications involving large-scale LiDAR environments. This work presents a lightweight hybrid framework that integrates point transformer v3…

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…

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…

This paper explores the transformative role of Building Information Modelling (BIM) in enhancing stakeholder engagement in transportation infrastructure projects. Drawing on literature, real-world case studies, and survey results from 32 stakeholders, the rese…

Blokzincir teknolojileri, asimetrik şifreleme, hash algoritmaları, dağıtık yapı, akıllı sözleşmeler ve konsensüs mekanizmaları gibi kavramlara dayanır. Konsensüs mekanizmaları, blokzincir teknolojisi de dahil olmak üzere dağıtık sistemlerde, tüm düğümlerdeki v…

Yapay zeka (YZ), tasarım sürecinden karar destek sistemlerine, maliyet analizinden malzeme tespitine kadar pek çok alanda kullanılmakta; tarihi yapılarda ise malzeme bozulmalarının tespiti, restorasyon süreçlerinin iyileştirilmesi ve kültürel varlıkların belge…

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…

Bu çalışmada, el yazısı karakterlerin tanınmasına yönelik derin öğrenme tabanlı bir model geliştirilmiştir. Model, farklı sayıda çıkış sınıfı (karakter) için test edilmiş; yalnızca 10 karakterin sınıflandırıldığı senaryoda %96 doğruluk oranı elde edilirken, sı…

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 …

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…

Bitkilerde hastalıkların erken teşhisi, tarımsal verimliliğin artırılması ve ürün kayıplarının önlenmesi açısından büyük öneme sahiptir. Bu çalışmada, tarımsal üretimde önemli kayıplara yol açan bitki yaprak hastalıklarının erken teşhisine yönelik bir yapay ze…

Günümüzde hızla artan kentleşme, doğal çevrenin geri plana itilmesine ve bireylerin doğayla olan bağlarının zayıflamasına neden olmaktadır. Bu durum, sadece yaşam kalitesini değil, aynı zamanda kültürel ve tarihî çevrelerle kurulan ilişkiyi de olumsuz etkileme…

This study proposes a climate-adaptive framework for modular micro-living units as a construction-based response to growing urban challenges related to climate resilience, densification, and housing affordability. The design integrates prefabricated cross-lami…