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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1969 2
1973 1
1976 2
1978 2
1979 2
1981 3
1982 2
1983 1
1984 5
1985 2
1986 1
1988 4
1989 4
1990 3
1991 6
1992 8
1993 5
1994 4
1995 6
1996 18
1997 9
1998 18
1999 14
2000 13
2001 22
2002 12
2003 24
2004 29
2005 23
2006 33
2007 22
2008 29
2009 42
2010 37
2011 39
2012 41
2013 36
2014 38
2015 34
2016 45
2017 49
2018 58
2019 53
2020 46
2021 70
2022 75
2023 76
2024 35

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1,026 results

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Page 1
Sampling Gaussian stationary random fields: A stochastic realization approach.
Zhu B, Liu J, Lai Z, Qian T. Zhu B, et al. ISA Trans. 2023 Nov;142:386-398. doi: 10.1016/j.isatra.2023.08.007. Epub 2023 Aug 10. ISA Trans. 2023. PMID: 37604743
Traditional methodologies based on covariance matrix decomposition have the difficulty of being computationally expensive, which is even more serious when the dimension of the random field is large. This paper proposes an efficient stochastic realization approach for sampl …
Traditional methodologies based on covariance matrix decomposition have the difficulty of being computationally expensive, which is even mor …
An efficient method to remove mixed Gaussian and random-valued impulse noise.
Xing M, Gao G. Xing M, et al. PLoS One. 2022 Mar 3;17(3):e0264793. doi: 10.1371/journal.pone.0264793. eCollection 2022. PLoS One. 2022. PMID: 35239722 Free PMC article.
Mixed Gaussian and Random-valued impulse noise (RVIN) removal is still a big challenge in the field of image denoising. ...Firstly, RVIN is processed to obtain a noisy image approximately corrupted by Gaussian noise only. Subsequently, Gaussi …
Mixed Gaussian and Random-valued impulse noise (RVIN) removal is still a big challenge in the field of image denoising. …
Chaos with Gaussian invariant distribution by quantum-noise random phase feedback.
Guo Y, Li H, Wang Y, Meng X, Zhao T, Guo X. Guo Y, et al. Opt Express. 2023 Sep 11;31(19):31522-31532. Opt Express. 2023. PMID: 37710668 Free article.
We experimentally present a random phase feedback based on quantum noise to generate a chaotic laser with Gaussian invariant distribution. ...The chaotic time-delay signature and mean permutation entropy are suppressed to 0.036 and enhanced to 0.999 us …
We experimentally present a random phase feedback based on quantum noise to generate a chaotic laser with Gaussian inva …
A Gaussian-Distributed Quantum Random Number Generator Using Vacuum Shot Noise.
Huang M, Chen Z, Zhang Y, Guo H. Huang M, et al. Entropy (Basel). 2020 Jun 2;22(6):618. doi: 10.3390/e22060618. Entropy (Basel). 2020. PMID: 33286390 Free PMC article.
In this paper, we demonstrate a practical quantum random number generation scheme directly generating Gaussian distributed random sequences based on measuring vacuum shot noise. ...Finally, the results of normality and randomness tests prove tha …
In this paper, we demonstrate a practical quantum random number generation scheme directly generating Gaussian distributed …
SureTypeSC-a Random Forest and Gaussian mixture predictor of high confidence genotypes in single-cell data.
Vogel I, Blanshard RC, Hoffmann ER. Vogel I, et al. Bioinformatics. 2019 Dec 1;35(23):5055-5062. doi: 10.1093/bioinformatics/btz412. Bioinformatics. 2019. PMID: 31116387
The lack of a comprehensive single-cell dataset with a reference genotype and the absence of genotyping tools specifically designed to detect noise from the whole-genome amplification step. Algorithms designed for bulk DNA genotyping cause significant data loss when used f …
The lack of a comprehensive single-cell dataset with a reference genotype and the absence of genotyping tools specifically designed to detec …
Soft Interference Cancellation for Random Coding in Massive Gaussian Multiple-Access.
Müller RR. Müller RR. Entropy (Basel). 2021 Apr 28;23(5):539. doi: 10.3390/e23050539. Entropy (Basel). 2021. PMID: 33924782 Free PMC article.
In 2017, Polyanskiy showed that the trade-off between power and bandwidth efficiency for massive Gaussian random access is governed by two fundamentally different regimes: low power and high power. ...This work utilizes recent results on the exact block error probab …
In 2017, Polyanskiy showed that the trade-off between power and bandwidth efficiency for massive Gaussian random access is gov …
Optical Systems Identification through Rayleigh Backscattering.
Nadimi Goki P, Mulugeta TT, Caldelli R, Potì L. Nadimi Goki P, et al. Sensors (Basel). 2023 Jun 1;23(11):5269. doi: 10.3390/s23115269. Sensors (Basel). 2023. PMID: 37299995 Free PMC article.
We demonstrate the robustness of signatures against digital and physical attacks confirming the unpredictability and unclonability features of the generated signatures. We explore signature cyber security by considering the random structure of the produced signatures. To d …
We demonstrate the robustness of signatures against digital and physical attacks confirming the unpredictability and unclonability features …
Covariance distributions in single particle tracking.
Bailey MLP, Yan H, Surovtsev I, Williams JF, King MC, Mochrie SGJ. Bailey MLP, et al. Phys Rev E. 2021 Mar;103(3-1):032405. doi: 10.1103/PhysRevE.103.032405. Phys Rev E. 2021. PMID: 33862686 Free PMC article.
To address the question of whether a population of such single-particle tracks, obtained from many different cells, corresponds to a single mode of diffusion, we derive theoretical equations describing the probability distribution of the displacement covariance, assuming t …
To address the question of whether a population of such single-particle tracks, obtained from many different cells, corresponds to a single …
The infinitesimal model: Definition, derivation, and implications.
Barton NH, Etheridge AM, Véber A. Barton NH, et al. Theor Popul Biol. 2017 Dec;118:50-73. doi: 10.1016/j.tpb.2017.06.001. Epub 2017 Jul 11. Theor Popul Biol. 2017. PMID: 28709925 Free article. Review.
In this model, one or several quantitative traits are described as the sum of a genetic and a non-genetic component, the first being distributed within families as a normal random variable centred at the average of the parental genetic components, and with a varianc …
In this model, one or several quantitative traits are described as the sum of a genetic and a non-genetic component, the first being distrib …
Counting statistics.
Rzeszotarski MS. Rzeszotarski MS. Radiographics. 1999 May-Jun;19(3):765-82. doi: 10.1148/radiographics.19.3.g99ma33765. Radiographics. 1999. PMID: 10336202
This limitation may mask our ability to perceive contrast in an image or may affect our confidence in quantitative functional measurements. The randomness of the signal can be described by using the Poisson probability distribution with its associated mean and varia …
This limitation may mask our ability to perceive contrast in an image or may affect our confidence in quantitative functional measurements. …
1,026 results