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5 results for “Conservation Problems”

Review Open Access AI-Driven Approaches to Enhance Energy Efficiency in Heritage Architecture: A Review
Ali Berkay Avci, Avci A
6th International Symposium on Innovation in Architecture, Planning and Design 2024 https://doi.org/10.36287/setsci.20.5.037

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…

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…

Review Open Access Seismic Data Analysis with Deep Learning Models: Methods, Applications, and Future Perspectives
Betül Ağaoğlu, Ağaoğlu B, İman Askerzade, Askerzade İ, Gazi Erkan Bostancı, Bostancı G, İhsan Tolga Medeni, Medeni İ
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00120

Seismic data is a critical source for examining and understanding subsurface structures. It is used in various fields such as oil exploration, geological research, mining, underground infrastructure planning, environmental monitoring, and conservation. The ana…

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…

Review Open Access Examination of Image Processing Studies and Techniques in Food Sector: A Literature Review
Tolga Hayıt, Hayıt T, Hasan Erbay, Erbay H, Fatma Hayıt, Hayıt F
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

In our global World, studies on food and food related-sectors, which are among the leading sectors in Turkey, continue to gain momentum to increase productivity and quality. In parallel, the developments in the information technology motivate researchers to ga…

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
Open Discovery Metadata · DOI · OAI-PMH
Global Reachresearchers worldwide