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Prediction of Atmospheric Duct Conditions from a Clutter Power Spectrum Using Deep Learning.

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Title: Prediction of Atmospheric Duct Conditions from a Clutter Power Spectrum Using Deep Learning.
Authors: Jin, Taekyeong1 (AUTHOR) taekyeong.jin@mail.hongik.ac.kr, Cho, Jeongmin1 (AUTHOR), Jang, Doyoung1 (AUTHOR), Choo, Hosung1 (AUTHOR) hschoo@hongik.ac.kr
Source: Remote Sensing. Feb2024, Vol. 16 Issue 4, p674. 10p.
Database: Academic Search Ultimate
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  Data: Prediction of Atmospheric Duct Conditions from a Clutter Power Spectrum Using Deep Learning.
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Feb2024, Vol. 16 Issue 4, p674. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=175650397
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        Value: 10.3390/rs16040674
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      – Code: eng
        Text: English
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      – TitleFull: Prediction of Atmospheric Duct Conditions from a Clutter Power Spectrum Using Deep Learning.
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            NameFull: Jin, Taekyeong
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            NameFull: Cho, Jeongmin
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            NameFull: Jang, Doyoung
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              Text: Feb2024
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              Y: 2024
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