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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…

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…

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…

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 …

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…

Sanayinin en çok tercih ettiği motorların başında gelen asenkron motorun skaler kontrolünün gerçekleştirilmesi için hız tahminlemesi yapılmıştır. Motor hızının farklı yüklerde değişmesi istenmeyen bir durumdur. Hız ve moment kontrolü için farklı control yöntem…

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…

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…

Sunulan çalışmada, kalp hastalığı riskinin erken ve güvenilir biçimde tahmin edilmesini sağlayan makine öğrenmesi tabanlı bir mobil uygulama geliştirilmiştir. Dokuz farklı algoritma değerlendirilmiş, en yüksek doğruluğa (%86,81) sahip olan k-NN modeline rağmen…

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…

Öneri sistemleri, kullanıcıların tercihlerine dayalı olarak kişisel ve memnuniyetin ön planda olduğu öneriler sunmayı amaçlamaktadır. Ancak her ne kadar amaç doğrultusunda hareket edilmeye çalışılsa da, önerilerde popüler yanlılığı problemi ile karşılaşılmakta…

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…

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…

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 paper examines the development of sustainable architectural design strategies in office buildings from 1970 to the present. Drawing on literature, policies, and historical examples, it traces the transformation of sustainability from a loosely defined env…

Bu çalışma, en ilkel omurgalı canlılardan biri olan taşemen balığının yüzme deseninin oluşturulması amacıyla, bir sinüzoidal osilatör ve birkaç birinci dereceden alçak geçiren filtre ile oluşturulan basit bir merkezi desen üreteci (Central Pattern Generator-CP…

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…

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…

Peyzaj mimarlığında simetri, kullanıcıların çevresel algısını ve etkileşimini yönlendiren bir tasarım ilkesidir. Bu bağlamda, simetrinin gözlemci davranışına etkisini incelemek amacıyla Konya kentinde bir çalışma yürütülmüştür. Çalışmada, göz izleme yöntemi ku…

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…