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Research Article Open Access An AI-Driven Drone-Integrated Mobile Photobioreactor System: A Novel Approach to Atmospheric Carbon Sequestration and Oxygen Emission
Betül Güroy, Güroy B
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.31.001

A universally applicable “optimal photobioreactor” design has yet to be established, as the success of such systems varies depending on the algal species used, environmental conditions, and intended applications. Meanwhile, the accelerating…

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…

Research Article Open Access XAI-Powered Comparative Diabetes Prediction with XGBoost, SVM and Artificial Neural Networks
Furkan Sefa Demirci, Demirci F, Remzi Yıldırım, Yıldırım R
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.30.001

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 …

Research Article Open Access A Conceptual Framework for AI-Assisted Monitoring in Microalgae Cultivation: A Case Study on Synechococcus elongatus PCC 3055
Betül Güroy, Güroy B, Derya Güroy, Güroy D, İzzet Şahin, Şahin İ, Serhan Mantoğlu, Mantoğlu S, Mustafa Rüçhan Pekcan, Pekcan M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.29.001

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 cultivat…

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 technolog…

Research Article Open Access Earthquake Prediction Methodology Based On Neural Network Model
Azra Dilek Erhan, Erhan A, Ikhwan Kim, Kim I
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00125

Forecasting earthquakes is challenging due to the difficulty in detecting underground phenomena. However, statistically, 30% of large earthquake foreshocks occur before the main shock, which indicates that, theoretically, it is possible to …

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 c…

Research Article Open Access Integration of Edge AI and Metaheuristic Algorithms for Advanced Optimization and Analytical Solutions in Future Smart Systems
Ali Berkol, Berkol A, İdil Gökçe Demirtaş, Demirtaş İ
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.005

This article presents a comprehensive examination of the integration of Edge AI and metaheuristic algorithms, highlighting its vast potential and applications across diverse domains. The synergistic integration of these technologies promise…

Research Article Open Access Comparison Of Machine Learning Methods In Predıctive Maintenance Applications Of Electric Motors
Berk Kahyaoğlu, Kahyaoğlu B, Nuri Berkcan Sarıel, Sarıel N, Erdinç Berkin Konca, Konca E
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.010

Three-phase asynchronous motors are widely used in many areas of industry. Unplanned malfunctions in the motor can cause the entire system to become inefficient. Detecting and intervening the malfunctions before they grow has a direct impac…

Research Article Open Access Performance Comparison of Carotid Artery Intima Media Thickness Classification by Deep Learning Methods
Serkan Savaş, Savaş S, Nurettin Topaloğlu, Topaloğlu N, Ömer Kazcı, Kazcı Ö, Pınar Nercis Koşar, Koşar P
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.025

Deep learning is a machine learning sub-field that uses deep neural networks. Instead of customized algorithms for each study in this field, it is aimed to cover the wider data set of solutions based on learning the data. Deep learning is a…

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