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Toplam kayıt 7, listelenen: 1-7
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 ...
A novel framework for strength prediction of geopolymer mortar: Renovative precursor effect
(Elsevier, 2023)
Concrete is the most used building material today as it has many advantages due to its structure. Geopolymer composites could potentially replace concrete in the future due to the demands of the construction industry. The ...
Accuracy improvement in Ag:a-Si memristive synaptic device-based neural network through Adadelta learning method on handwritten-digit recognition
(Springer, 2023)
Traditional computing architecture (Von Neumann) that requires data transfer between the off-chip memory and processor consumes a large amount of energy when running machine learning (ML) models. Memristive synaptic devices ...
ANOVA method reveals key factors influencing geopolymer strength: A comprehensive evaluation of input variables
(IEEE, 2023)
In this study, we present an ANOVA (Analysis of Variance) method conducted on a geopolymer dataset. The analysis focuses on evaluating the impact of various input variables, including OB, GW, FA, S, M, M/B, AGE, HEAT, SiO2, ...
Stacked ensemble modeling for improved tuberculosis treatment outcome prediction in pediatric cases
(Wiley, 2024)
The promising results of ML (machine learning) methods in various disciplines have led to the frequent use of these methods in health fields such as disease diagnosis, personalized medicine, medical image-based diagnosis, ...