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of 39
pro vyhledávání: '"Salih Berkan AYDEMİR"'
Extreme Learning Machine Algorithms for Prediction of Positive Rate in Covid-19: A Comparative Study
Autor:
Funda Kutlu Onay, Salih Berkan Aydemir
Publikováno v:
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 11, Iss 1, Pp 170-188 (2023)
Various pandemics have been recorded in world history until today. The Covid-19 outbreak, which emerged at the end of 2019, has recently been a hot topic in the literature. In this work, extreme learning algorithms are presented as a comparative stud
Externí odkaz:
https://doaj.org/article/36aa483e156d470193645349ac8f3149
Autor:
Salih Berkan Aydemir
Publikováno v:
International Journal of Pioneering Technology and Engineering, Vol 1, Iss 02, Pp 82-88 (2022)
Air pollution can lead to various diseases. Especially, Sulfur dioxide (SO2) and Particulate Matter (PM10 ) concentrations in the air directly affect air pollution. Therefore, the estimation of and substances in the air plays an important role in air
Externí odkaz:
https://doaj.org/article/13599bd0d0d344e28d9078bd1b6202bd
Publikováno v:
Advances in Space Research. 71:4739-4750
Extreme Learning Machine Algorithms for Prediction of Positive Rate in Covid-19: A Comparative Study
Autor:
Salih Berkan AYDEMİR, Funda KUTLU ONAY
Publikováno v:
Düzce Üniversitesi Bilim ve Teknoloji Dergisi. 11:170-188
Various pandemics have been recorded in world history until today. The Covid-19 outbreak, which emerged at the end of 2019, has recently been a hot topic in the literature. In this work, extreme learning algorithms are presented as a comparative stud
A novel version of slime mould algorithm for global optimization and real world engineering problems
Publikováno v:
Mathematics and Computers in Simulation. 198:253-288
Publikováno v:
Neurocomputing. 492:23-33
Publikováno v:
Complex & Intelligent Systems. 8:3523-3541
This study aims to propose the power Muirhead mean (PMM) operator in the spherical normal fuzzy sets (SNoFS) environment to solve multiple attribute decision-making problems. Spherical normal fuzzy sets better characterize real-world problems. On the
Autor:
Bekir PARLAK, Salih Berkan AYDEMİR
Publikováno v:
Journal of Soft Computing and Artificial Intelligence.
Medical document classification is one of the important topics of text mining. Globalisation techniques play a major role in text classification. It is also known that globalisation techniques play an important role in text classification. Our aim in
Autor:
Salih berkan Aydemir, Funda KUTLU ONAY
Publikováno v:
Concurrency and Computation: Practice and Experience. 35
Publikováno v:
International Journal of Intelligent Systems. 36:1454-1481