43   Artículos

 
en línea
Samuel de Oliveira, Oguzhan Topsakal and Onur Toker    
Automated Machine Learning (AutoML) is a subdomain of machine learning that seeks to expand the usability of traditional machine learning methods to non-expert users by automating various tasks which normally require manual configuration. Prior benchmark... ver más
Revista: Information    Formato: Electrónico

 
en línea
George Westergaard, Utku Erden, Omar Abdallah Mateo, Sullaiman Musah Lampo, Tahir Cetin Akinci and Oguzhan Topsakal    
Automated Machine Learning (AutoML) tools are revolutionizing the field of machine learning by significantly reducing the need for deep computer science expertise. Designed to make ML more accessible, they enable users to build high-performing models wit... ver más
Revista: Information    Formato: Electrónico

 
en línea
Lauren M. Paladino, Alexander Hughes, Alexander Perera, Oguzhan Topsakal and Tahir Cetin Akinci    
Globally, over 17 million people annually die from cardiovascular diseases, with heart disease being the leading cause of mortality in the United States. The ever-increasing volume of data related to heart disease opens up possibilities for employing mac... ver más
Revista: AI    Formato: Electrónico

 
en línea
Swetha Lenkala, Revathi Marry, Susmitha Reddy Gopovaram, Tahir Cetin Akinci and Oguzhan Topsakal    
Epilepsy is a neurological disease characterized by recurrent seizures caused by abnormal electrical activity in the brain. One of the methods used to diagnose epilepsy is through electroencephalogram (EEG) analysis. EEG is a non-invasive medical test fo... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Selin Aydin, Oguzhan Ustun, Atena Ghosigharehaghaji, Taha Tavaci, Asli Yilmaz and Mehmet Yilmaz    
In the last two decades, fluorescent carbon quantum dots (CQDs) have attracted intense interest as a new fluorescent nanomaterial with unique properties. This material offers significant advantages compared with conventional dyes and inorganic QD systems... ver más
Revista: Coatings    Formato: Electrónico

 
en línea
Ismail Alperen Özlü, Olzhas Baimakhanov, Almaz Saukhimov and Oguzhan Ceylan    
This paper proposes a toolbox for simulating the effective integration of renewable energy sources into distribution systems. The toolbox uses four heuristic methods: the particle swarm optimization (PSO) method, and three recently developed methods, nam... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Erfan Amini, Danial Golbaz, Rojin Asadi, Mahdieh Nasiri, Oguzhan Ceylan, Meysam Majidi Nezhad and Mehdi Neshat    
One of the most encouraging sorts of renewable energy is ocean wave energy. In spite of a large number of investigations in this field during the last decade, wave energy technologies are recognised as neither mature nor broadly commercialised compared t... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Oguzhan Ozcelebi(1), Mehmet Tevfik Izgi(2), (1) Department of Economics, Istanbul University, Istanbul, Turkey (2) Vocational School of Social Sciences, Istanbul University Cerrahpasa, Istanbul, Turkey     Pág. 134 - 144
Revista: Economic Journal of Emerging Markets    Formato: Electrónico

 
en línea
Paniz Abedin, M. Oguzhan Külekci and Shama V. Thankachan    
The shortest unique substring (SUS) problem is an active line of research in the field of string algorithms and has several applications in bioinformatics and information retrieval. The initial version of the problem was proposed by Pei et al. [ICDE?13].... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Oguzhan Gencoglu and Mathias Gruber    
Understanding the characteristics of public attention and sentiment is an essential prerequisite for appropriate crisis management during adverse health events. This is even more crucial during a pandemic such as COVID-19, as primary responsibility of ri... ver más
Revista: Computation    Formato: Electrónico

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