Konu "Random forest" için WoS İndeksli Yayınlar Koleksiyonu listeleme
Toplam kayıt 7, listelenen: 1-7
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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 ... -
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 ... -
Predicting mechanical properties in geopolymer mortars, including novel precursor combinations, through XGBoost method
(Springer, 2024)Concrete is the most widely used material in the building industry due to its affordability, durability, and strength. However, considering carbon emissions, it is believed that concrete will be replaced by geopolymers in ... -
Prediction of gestational diabetes using deep learning and Bayesian optimization and traditional machine learning techniques
(Springer, 2023)The study aimed to develop a clinical diagnosis system to identify patients in the GD risk group and reduce unnecessary oral glucose tolerance test (OGTT) applications for pregnant women who are not in the GD risk group ... -
A prospective study for gestational diabetes mellitus: Analysis of risk factors in Turkish women for early prediction
(Wiley, 2022)Objective: To define risk factors for the early prediction of gestational diabetes mellitus (GDM) because the risk of pre-eclampsia and preterm birth increases in mothers who are diagnosed with GDM. Materials and methods: ... -
Sperm detection and analysis using feature description algorithms
(Ieee, 2019)Computer aided sperm analysis (CASA) systems have been used in recent years to examine the mobility and morphology of human and animal sperm. While these systems detect sperm, they fail to detect more than one sperm image ... -
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, ...