5 results
Research Article
Open Access Enhancing Financial Market Sentiment Analysis Using Dataset Augmentation
Dante Contella, Contella D, Johnson Kinyua, Kinyua J, Charles Mutigwe, Mutigwe C
International Conference on Open Finance 2025 https://doi.org/10.36287/setsci.24.5.039
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 …
Research Article
Open Access Detecting Fraud, Waste, and Abuse in Healthcare Claims using AI: Applying Isolation Forest to Claim Analytics
Naren Chandra, Chandra N, Vineel Arekapudi, Arekapudi V
International Conference on Open Finance 2025 https://doi.org/10.36287/setsci.24.3.023
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 …
Research Article
Open Access Energy Loss and Panel Fault Detection in Solar photovoltaic Systems Using Extreme Gradient Boosting algorithm
Fatma Zehra Kardas, Kardas F, Adem Atmaca, Atmaca A
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.59.001
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 co…
Review
Open Access Comparative Review of Machine Learning Methods in Revenue Forecasting
Ali Taghiyev, Taghiyev A, Özkan İnik, İnik Ö
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.54.001
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 fiel…
Research Article
Open Access Deep Learning Approaches for Lung Cancer Classification: A Comparative Study of Multiple Model Architectures
Ayşe Nur Durmaz, Durmaz A, Nihan Özbaltan, Özbaltan N
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.41.001
Early detection of lung cancer remains a critical challenge in medical imaging, where accurate classification between benign and malignant pulmonary nodules can significantly impact patient outcomes. This study presents a comprehensive comp…
