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pro vyhledávání: '"Kaya, Kiymet"'
Road traffic congestion prediction is a crucial component of intelligent transportation systems, since it enables proactive traffic management, enhances suburban experience, reduces environmental impact, and improves overall safety and efficiency. Al
Externí odkaz:
http://arxiv.org/abs/2408.01016
Graphs are crucial for representing interrelated data and aiding predictive modeling by capturing complex relationships. Achieving high-quality graph representation is important for identifying linked patterns, leading to improvements in Graph Neural
Externí odkaz:
http://arxiv.org/abs/2407.14765
Publikováno v:
ICC 2024 - IEEE International Conference on Communications
The effectiveness of Intrusion Detection Systems (IDS) is critical in an era where cyber threats are becoming increasingly complex. Machine learning (ML) and deep learning (DL) models provide an efficient and accurate solution for identifying attacks
Externí odkaz:
http://arxiv.org/abs/2402.00839
Despite the crucial importance of addressing Black Hole failures in Internet backbone networks, effective detection strategies in backbone networks are lacking. This is largely because previous research has been centered on Mobile Ad-hoc Networks (MA
Externí odkaz:
http://arxiv.org/abs/2402.00831
Publikováno v:
In Information Processing and Management January 2022 59(1)
Publikováno v:
In Sustainable Computing: Informatics and Systems June 2021 30
Akademický článek
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Akademický článek
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Autor:
Kaya, Kiymet
Hava kirliliği büyük şehirlerdeki çevre koşulları üzerinde önemli derecede etkilidir. Kirlilik risklerine karşı korunmak için geliştirilen hava kirliliği kontrol teknolojilerinin varlığı hava kirliliğinin doğru tahminine bağlıdı
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10208::114fad0f068efd1770bc681b44621d5f
https://acikbilim.yok.gov.tr/handle/20.500.12812/633492
https://acikbilim.yok.gov.tr/handle/20.500.12812/633492
Development of New Prediction Models for Maximal Oxygen Uptake Using Artificial Intelligence Methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10046::687a401f048f4ba270b2952e26a080d3
https://avesis.gazi.edu.tr/publication/details/640d62b6-96d0-4a21-a1df-9d88804e533c/oai
https://avesis.gazi.edu.tr/publication/details/640d62b6-96d0-4a21-a1df-9d88804e533c/oai