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The purpose of this study is to examine the software libraries and data sets used for Deep Learning architectures. Deep Learning brings a different perspective to the field of artificial intelligence. It has begun to be used an incredibly wide field in recent …

Enterprise financial forecasts are generated across multiple business dimensions such as products, regions, channels, customer cohorts, and segments. In a large enterprise, this can result in billions of populated intersections that finance teams cannot review…

Open-finance services must prepare for cryptographic transitions while evaluating quantum-computing opportunities against classical alternatives. These decisions require different evidence but concern shared data, software, suppliers, and owners. This paper de…

The emergence of Open Finance is reshaping the global financial landscape by enabling greater data accessibility, interoperability, and innovation. However, this expanded connectivity introduces new layers of regulatory complexity, raising urgent concerns rega…

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, …

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…

Sanayileşme, insan yaşamına pek çok alanda konfor ve kolaylıklar kazandırmıştır. Ancak bu sürecin tetiklediği seri üretim ve tüketim alışkanlıkları, çevresel tahribatın yanı sıra sosyal eşitsizlikleri de beraberinde getirmiştir. Bu durum, günümüz dünyasında sü…

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…

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…

6 Şubat 2023 tarihli Kahramanmaraş merkezli depremler, Diyarbakır’da ciddi fiziksel yıkımların yanı sıra toplumsal ve mekânsal düzeyde derin dönüşümlere neden olmuştur. Bu çalışma, Diyarbakır’da afet sonrası TOKİ konutlarına zorunlu olarak yerleştirilen bireyl…

This study aims to evaluate fire safety and escape route design in student dormitories. Ismail Necati Efendi KYK Dormitory and Hubbi Hatun Dormitory in Karabük province were comparatively examined in terms of space organization, user density, number and placem…

Stone arches have been among the important structures in architecture and engineering throughout history. However, they can be damaged over time due to environmental impacts, conditions of use and natural disasters. Therefore, modern strengthening methods are …

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…

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…

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…

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…

Diabetic retinopathy is the leading cause of blindness among diabetic patients. It occurs when the light-sensitive tissue in the retina is damaged. According to WHO statistics, the current global prevalence of diabetic retinopathy is approximately 103 million …

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…

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…

This review explores the role of artificial intelligence (AI) in enhancing energy efficiency within heritage buildings, focusing on balancing sustainability goals with the preservation of historical and architectural integrity. AI technologies such as Building…