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Correlation value determined to increase Salmonella prediction success of deep neural network for agricultural waters
(Springer, 2022)
The use of computer-based tools has been becoming popular in the field of produce safety. Various algorithms have been applied to predict the population and presence of indicator microorganisms and pathogens in agricultural ...
Hybrid machine learning model coupled with school closure for forecasting covıd-19 cases in the most affected countries
(2021)
Coronavirus disease (Covid-19) caused millions of confirmed cases and deaths worldwide since first appeared in China. Forecasting methods are essential to take precautions early and control the spread of this rapidly ...
Development and evaluation of ensemble learning models for detection of distributed denial-of-service attacks in ınternet of things
(Hitit University, 2022)
Internet of Things that process tremendous confidential data have difficulty performing
traditional security algorithms, thus their security is at risk. The security tasks to be
added to these devices should be able to ...