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Toplam kayıt 24, listelenen: 21-24
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, ...
Machine learning based feature optimization and early detection system in heart diseases
(IEEE, 2023)
In today's world, humanity faces a myriad of challenges, many of which pose significant threats to our well-being. Chief among these challenges are health-related issues. Among these health problems, heart diseases stand ...
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, ...
Recurrent neural network and long short-term memory models for audio copy-move forgery detection: a comprehensive study
(Springer, 2024)
One of the most pressing challenges in audio forgery detection—a major topic of signal analysis and digital forensics research—is detecting copy-move forgery in audio data. Because audio data are used in numerous sectors, ...