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Titlebook: Reviews of Environmental Contamination and Toxicology; Continuation of Resi George W. Ware Book 1992 Springer-Verlag New York Inc. 1992 Rev

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書目名稱Reviews of Environmental Contamination and Toxicology
副標(biāo)題Continuation of Resi
編輯George W. Ware
視頻videohttp://file.papertrans.cn/830/829579/829579.mp4
叢書名稱Reviews of Environmental Contamination and Toxicology
圖書封面Titlebook: Reviews of Environmental Contamination and Toxicology; Continuation of Resi George W. Ware Book 1992 Springer-Verlag New York Inc. 1992 Rev
描述.Reviews of Environmental Contamination and Toxicology. publishes authoritative reviews on the occurrence, effects, and fate of pesticide residues and other environmental contaminants. It will keep you informed of the latest significant issues by providing in-depth information in the areas of analytical chemistry, agricultural microbiology, biochemistry, human and veterinary medicine, toxicology, and food technology.
出版日期Book 1992
關(guān)鍵詞Reviews of Environmental Contamination and Toxicology; biochemistry; biology; chemistry; contaminants; co
版次1
doihttps://doi.org/10.1007/978-1-4612-2890-5
isbn_softcover978-1-4612-7710-1
isbn_ebook978-1-4612-2890-5Series ISSN 0179-5953 Series E-ISSN 2197-6554
issn_series 0179-5953
copyrightSpringer-Verlag New York Inc. 1992
The information of publication is updating

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978-1-4612-7710-1Springer-Verlag New York Inc. 1992
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Reviews of Environmental Contamination and Toxicology978-1-4612-2890-5Series ISSN 0179-5953 Series E-ISSN 2197-6554
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Reviews of Environmental Contamination and Toxicologyhttp://image.papertrans.cn/r/image/829579.jpg
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Gabriel Bitton,Ben Koopmangraphs and can be used to predict the future evolution of a temporal graph. We perform a brief evaluation on small synthetic networks that demonstrate the prediction accuracy of PSHRG versus baseline and state of the art models. Ultimately, we find that PSHRGs seem to be very good at modelling dynam
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發(fā)表于 2025-3-23 05:00:06 | 只看該作者
Clive A. Edwards,Patrick J. Bohlengraphs and can be used to predict the future evolution of a temporal graph. We perform a brief evaluation on small synthetic networks that demonstrate the prediction accuracy of PSHRG versus baseline and state of the art models. Ultimately, we find that PSHRGs seem to be very good at modelling dynam
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