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We developed a series of financial social media sentiment analysis models starting with PyFin-Sentiment, a recent state-of-the-art domain-specific large language model for the financial domain. We focused on label accuracy and improvements in the quality and q…

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…

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 …

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…

Generative Artificial Intelligence is gaining popularity every day and uses contextual data to personalize and enhance user experiences. This paper explores music generation that is conditioned on weather. It influences musical compositions by connecting MIDI …

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…

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…

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…

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…

The COVID-19 pandemic has necessitated the development of rapid, accurate, and automated diagnostic tools to assist healthcare professionals in patient screening and management. This comprehensive study presents a detailed comparative analysis of ten state-of-…

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 …

Market democratization through conversational AI represents a critical frontier in financial technology, yet cryptocurrency analysis remains dominated by institutional players with sophisticated toolchains. We introduce AICrypto-Assistant, the first open-sourc…

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…

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…

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…

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…

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…

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…

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…