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Toplam kayıt 14, listelenen: 11-14
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, ...
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, ...