Abstract: The deep learning-based profiling attacks have received significant attention for their potential against masking-protected devices. Currently, additional capabilities like exploiting only a ...
Early diagnosis of ovarian cancer is vital, with current methods lacking sensitivity and specificity for early-stage detection. Researchers identified 9 predictive methylation probes using machine ...
This study addresses valuable questions about the neural mechanisms underlying statistical learning of room acoustics, combining robust behavioral measures with non-invasive brain stimulation. The ...
Objective Hearing impairment is a common disability in elderly people. With an ageing population, it is expected that the number of people with age-related hearing loss will grow, and a proportion are ...
All products featured on Bon Appétit are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links. The best ...
Genetic diversity is important for conservation and genetic improvement of common beans. This study aimed to estimate the genetic diversity among common bean genotypes from the Embrapa germplasm ...
With the advent of linear mixed-effects models (LMM), multivariate analysis of variance (MANOVA) and repeated measures ANOVA (RM ANOVA) are falling out of popularity. MANOVA and RM ANOVA have a few ...
ABSTRACT: Multicollinearity in factor analysis has negative effects, including unreliable factor structure, inconsistent loadings, inflated standard errors, reduced discriminant validity, and ...
Abstract: Anomaly detection in data streams comes with different technical challenges due to the data nature. The main challenges include storage limitations, the speed of data arrival, and concept ...
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