8 results for “Forecasting”
Research Article
Open Access Explainable Multi-Task Deep Learning for Blood Glucose Forecasting: A Lightweight, Interpretability Focused Approach
Sarmad Maqsood, Maqsood S, Muhammad Abdullah Sarwar, Sarwar M, Egle Belousoviene, Belousoviene E, Rytis Maskeliünas , Maskeliünas R
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.4.001
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…
Research Article
Open Access Industry 4.0 Driven Risk Management for Climate Resilient Smart Cities A Hybrid Framework for Southeastern Türkiye
Mehmet Fatih Kendirci, Kendirci M, Aydın Oğuz, Oğuz A, Osman Hansu, Hansu O
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.116.001
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…
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 field of machine learnin…
Research Article
Open Access Calendar Anomalies in Crisis: Intra-Day Volatility Patterns During the GFC and COVID-19
Naresh Chethala, Chethala N, Syeda Nabeera Suhail, Suhail S
International Conference on Open Finance 2025 https://doi.org/10.36287/setsci.24.1.001
This paper explores how intra-day volatility behaves across different weekdays during periods of major financial stress, focusing specifically on the S&P 500 and NASDAQ-100 indices. The analysis spans two significant market disruptions—the 2008 Global Financia…
Research Article
Open Access Predictive Analytics for Regulatory Risk in Open Finance: A Data-Driven Framework
Madhu Thota, Thota M, Tuncay Bayrak, Bayrak T
International Conference on Open Finance 2025 https://doi.org/10.36287/setsci.24.4.030
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…
Research Article
Open Access Disaster Governance and Recovery Efficiency in Türkiye and Japan: A Comparative Analysis of Post-Earthquake Reconstruction
Aydın Oğuz, Oğuz A, Osman Hansu, Hansu O
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.56.001
This study presents a comparative analysis of post-earthquake recovery governance in Türkiye and Japan, focusing on the 1999 Kocaeli, 2011 Tōhoku, and 2023 Kahramanmaraş earthquakes. Employing qualitative document analysis and cross-case timeline mapping, it e…
Review
Open Access Building and Urban-Scale Energy Modeling: A Comparative Literature Review of Building Energy Modeling (BEM) and Urban Building Energy Modeling (UBEM)
Sevilay Akalp, Akalp S, Dilan Kakdaş Ateş, Kakdaş Ateş D
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.60.001
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…
Research Article
Open Access Opportunities and Challenges of Using Artificial Intelligence in the Educational System
Inga Abuladze, Abuladze I
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.12.001
Author research interest is using AI tools in learning in any field connected with education. In this study proposes the idea of how to make the educational process more flexible in the post-pandemic period using the Artificial Intelligence (AI) technologies. …