Random noise adversely affects the signal-to-noise ratio of complex seismic signals in surface conditions and media. The primary challenges related to processing data have always been reducing random increasing ratio. In this study, we propose an improved cycle-consistent generative adversarial network (CycleGAN) suppression method. First, generator replaces original structure with Unet combine...

in spite of the existing reports on behavioural and biochemical changes related to the cerebellum due to noise stress, not much is known about the effect of noise stress on the neuronal changes in the cerebellum. the present study aims at investigating the effects from one week noise exposure on granule cell number and purkinje cell volume within the neonate rat cerebellum. 15-day-old male wist...

Label noise detection has been widely studied in Machine Learning because of its importance improving training data quality. Satisfactory achieved by adopting ensembles classifiers. In this approach, an instance is assigned as mislabeled if a high proportion members the pool misclassifies it. Previous authors have empirically evaluated approach; nevertheless, they mostly assumed that label gene...

Generating streams of true random numbers is a critical component many electronic and information systems. The design fully integrated, area power efficient number generators (TRNGs) challenge. We propose lightweight implementation that uses the telegraph noise (RTN) standard MOSFET as entropy source. It not analog-intensive, without traditional post-processing algorithms, generated bit sequenc...