Mei, Shuli,
Liu, Meng,
Kudreyko, Aleksey,
Cattani, Piercarlo,
Baikov, Denis,
Villecco, Francesco (2022) of bendlets, an adaptive denoising method for microsection images with
Rician noise is proposed
scheme are described; in the second experiment,
noise was removed when analyzing a subset of the initial
Sufianov, A.,
Beilerli, A.,
Kudriashov, V.,
Ilyasova, T.,
Liang, Ya.,
Mukhamedzyanov, A.,
Bessonova, M.,
Mashkin, A.,
Beylerli, O. (2023) as mere "
noise" during genome transcription, have now been confirmed through numerous studies to regulate
Длинные некодирующие РНК: какие перспективы? conditions, including cancer. The perception of lncRNAs as fragments of RNA and transcriptional
noise has
of health disorders under exposure to adverse occupational factors (
noise, heating microclimate, industrial
Yuan, Yuchen,
Chen, Jianxue,
Rong, Jin,
Cattani, Piercarlo,
Kudreyko, Aleksey,
Villecco, Francesco (2023) with a differential iterative model with it as the
noise term is constructed according
to the fractional
Valeeva, E.T.,
Galimova, R.R.,
Distanova, A.A.,
Suleymanova, I.F.,
Suleymanova, I.F.,
Boyarinova, N.B.,
Salavatova, L.Kh.,
Isaeva, S.M. (2023) factors include intense
noise, vibration, work hardness and chemical levels; their intensity varies