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

Year Number of Results
1830 1
1881 1
1883 1
1884 1
1886 4
1887 1
1889 1
1891 3
1892 2
1893 4
1896 1
1897 1
1899 2
1902 2
1907 1
1908 4
1909 1
1911 2
1912 1
1913 1
1914 2
1915 1
1916 1
1917 1
1920 1
1922 1
1926 1
1928 1
1929 2
1930 2
1932 1
1934 1
1936 1
1939 3
1940 3
1942 1
1945 3
1946 2
1947 5
1948 12
1949 6
1950 12
1951 11
1952 4
1953 9
1954 6
1955 8
1956 2
1957 4
1959 5
1960 14
1961 6
1962 3
1963 8
1964 22
1965 12
1966 20
1967 22
1968 31
1969 30
1970 41
1971 34
1972 29
1973 22
1974 37
1975 44
1976 38
1977 41
1978 38
1979 49
1980 43
1981 51
1982 70
1983 54
1984 59
1985 51
1986 70
1987 98
1988 91
1989 122
1990 120
1991 128
1992 140
1993 133
1994 138
1995 147
1996 178
1997 165
1998 168
1999 199
2000 262
2001 263
2002 292
2003 301
2004 337
2005 422
2006 453
2007 449
2008 532
2009 545
2010 599
2011 730
2012 819
2013 948
2014 1204
2015 1312
2016 1593
2017 1729
2018 1976
2019 2195
2020 2629
2021 3334
2022 3726
2023 3537
2024 1204

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31,575 results

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The following term was not found in PubMed: Nyamhere
Page 1
When Sensor-Cloud Meets Mobile Edge Computing.
Wang T, Lu Y, Cao Z, Shu L, Zheng X, Liu A, Xie M. Wang T, et al. Sensors (Basel). 2019 Dec 3;19(23):5324. doi: 10.3390/s19235324. Sensors (Basel). 2019. PMID: 31816927 Free PMC article. Review.
Sensor-clouds are a combination of wireless sensor networks (WSNs) and cloud computing. The emergence of sensor-clouds has greatly enhanced the computing power and storage capacity of traditional WSNs via exploiting the advantages of cloud computing in …
Sensor-clouds are a combination of wireless sensor networks (WSNs) and cloud computing. The emergence of sensor-clouds …
Joint multiscale cloud detection algorithm for ground-based lidar.
Xu W, Zhang Y, Mao F, Hu P, Wang Y, Gong W. Xu W, et al. Opt Express. 2022 Dec 5;30(25):44449-44463. doi: 10.1364/OE.473727. Opt Express. 2022. PMID: 36522869 Free article.
Results show that the proposed algorithm detects 10.45% more cloud layers than the official cloud product of Micro Pulse Lidar Network (MPLNET) does. ...These additional detected clouds have important implications for cloud climatology and climate chan …
Results show that the proposed algorithm detects 10.45% more cloud layers than the official cloud product of Micro Pulse Lidar …
Precipitation formation from orographic cloud seeding.
French JR, Friedrich K, Tessendorf SA, Rauber RM, Geerts B, Rasmussen RM, Xue L, Kunkel ML, Blestrud DR. French JR, et al. Proc Natl Acad Sci U S A. 2018 Feb 6;115(6):1168-1173. doi: 10.1073/pnas.1716995115. Epub 2018 Jan 22. Proc Natl Acad Sci U S A. 2018. PMID: 29358387 Free PMC article.
Little direct scientific evidence exists that confirms even the basic physical hypothesis upon which cloud seeding relies. The intent of glaciogenic seeding of orographic clouds is to introduce aerosol into a cloud to alter the natural development of cloud …
Little direct scientific evidence exists that confirms even the basic physical hypothesis upon which cloud seeding relies. The intent …
Strong cloud-circulation coupling explains weak trade cumulus feedback.
Vogel R, Albright AL, Vial J, George G, Stevens B, Bony S. Vogel R, et al. Nature. 2022 Dec;612(7941):696-700. doi: 10.1038/s41586-022-05364-y. Epub 2022 Nov 30. Nature. 2022. PMID: 36450982 Free PMC article.
Shallow cumulus clouds in the trade-wind regions cool the planet by reflecting solar radiation. ...Trade cumulus feedbacks in climate models are governed by changes in cloud fraction near cloud base(5,6), with high-climate-sensitivity models suggesting a stro …
Shallow cumulus clouds in the trade-wind regions cool the planet by reflecting solar radiation. ...Trade cumulus feedbacks in climate …
Deep Learning for LiDAR Point Cloud Classification in Remote Sensing.
Diab A, Kashef R, Shaker A. Diab A, et al. Sensors (Basel). 2022 Oct 16;22(20):7868. doi: 10.3390/s22207868. Sensors (Basel). 2022. PMID: 36298220 Free PMC article. Review.
Point clouds are one of the most widely used data formats produced by depth sensors. There is a lot of research into feature extraction from unordered and irregular point cloud data. Deep learning in computer vision achieves great performance for data classification …
Point clouds are one of the most widely used data formats produced by depth sensors. There is a lot of research into feature extracti …
Deep Synthesis of Cloud Lighting.
Satilmis P, Marnerides D, Debattista K, Bashford-Rogers T. Satilmis P, et al. IEEE Comput Graph Appl. 2022 Sep-Oct;42(5):8-18. doi: 10.1109/MCG.2022.3172846. Epub 2022 Oct 4. IEEE Comput Graph Appl. 2022. PMID: 35511854
While clouds can be added to existing sky models through rendering, this is hard to achieve due to the difficulties of representing clouds and the complexities of volumetric light transport. ...This leverages a captured collection of high dynamic range cloudy sky im …
While clouds can be added to existing sky models through rendering, this is hard to achieve due to the difficulties of representing …
Point Cloud Geometry Compression Based on Multi-Layer Residual Structure.
Yu J, Wang J, Sun L, Wu ME, Zhu Q. Yu J, et al. Entropy (Basel). 2022 Nov 17;24(11):1677. doi: 10.3390/e24111677. Entropy (Basel). 2022. PMID: 36421532 Free PMC article.
Specifically, a multi-layer residual module is designed on a sparse convolution-based autoencoders that progressively down-samples the input point clouds and reconstructs the point clouds in a hierarchically way. It effectively constrains the accuracy of the samplin …
Specifically, a multi-layer residual module is designed on a sparse convolution-based autoencoders that progressively down-samples the input …
Invisible ship tracks show large cloud sensitivity to aerosol.
Manshausen P, Watson-Parris D, Christensen MW, Jalkanen JP, Stier P. Manshausen P, et al. Nature. 2022 Oct;610(7930):101-106. doi: 10.1038/s41586-022-05122-0. Epub 2022 Oct 5. Nature. 2022. PMID: 36198778 Free PMC article.
Ship tracks, long lines of polluted clouds that are visible in satellite images, are one of the main tools for quantifying aerosol-cloud interactions(4). ...We develop a new method to quantify the effect of shipping on all clouds, showing a cloud dropl …
Ship tracks, long lines of polluted clouds that are visible in satellite images, are one of the main tools for quantifying aerosol- …
Emergent Constraints on Regional Cloud Feedbacks.
Lutsko NJ, Popp M, Nazarian RH, Albright AL. Lutsko NJ, et al. Geophys Res Lett. 2021 May 28;48(10):e2021GL092934. doi: 10.1029/2021GL092934. Epub 2021 May 20. Geophys Res Lett. 2021. PMID: 34219827 Free PMC article.
Here, we investigate the potential for emergent constraints to reduce uncertainty in regional cloud feedbacks, rather than the global-mean cloud feedback. Strong relationships are found between the monthly and interannual variability of tropical clouds, and t …
Here, we investigate the potential for emergent constraints to reduce uncertainty in regional cloud feedbacks, rather than the global …
Observational evidence that cloud feedback amplifies global warming.
Ceppi P, Nowack P. Ceppi P, et al. Proc Natl Acad Sci U S A. 2021 Jul 27;118(30):e2026290118. doi: 10.1073/pnas.2026290118. Proc Natl Acad Sci U S A. 2021. PMID: 34282010 Free PMC article.
Using data from Earth observations and climate model simulations, we here develop a statistical learning analysis of how clouds respond to changes in the environment. We show that global cloud feedback is dominated by the sensitivity of clouds to surface temp …
Using data from Earth observations and climate model simulations, we here develop a statistical learning analysis of how clouds respo …
31,575 results
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