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Titlebook: Reviews of Environmental Contamination and Toxicology Volume 224; David M. Whitacre Book 2013 Springer Science+Business Media New York 201

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書(shū)目名稱Reviews of Environmental Contamination and Toxicology Volume 224
編輯David M. Whitacre
視頻videohttp://file.papertrans.cn/830/829602/829602.mp4
概述Provides detailed reviews worldwide to key scientists and science or policy administrators.Supplies scientific review articles on all aspects of environmental contamination and associated toxicologica
叢書(shū)名稱Reviews of Environmental Contamination and Toxicology
圖書(shū)封面Titlebook: Reviews of Environmental Contamination and Toxicology Volume 224;  David M. Whitacre Book 2013 Springer Science+Business Media New York 201
描述Reviews of Environmental Contamination and Toxicology attempts to provide concise, critical reviews of timely advances, philosophy and significant areas of accomplished or needed endeavor in the total field of xenobiotics, in any segment of the environment, as well as toxicological implications.
出版日期Book 2013
關(guān)鍵詞ecotoxicology
版次1
doihttps://doi.org/10.1007/978-1-4614-5882-1
isbn_softcover978-1-4899-8686-3
isbn_ebook978-1-4614-5882-1Series ISSN 0179-5953 Series E-ISSN 2197-6554
issn_series 0179-5953
copyrightSpringer Science+Business Media New York 2013
The information of publication is updating

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Jingyu Huang,Philip N. Nkrumah,Yi Li,Gloria Appiah-Sefahle a number of different approaches have been presented, a quantitative evaluation of those algorithms remains a challenging task: Manual generation of ground truth for real-world data is often time-consuming and error-prone, and while tools for generating synthetic datasets with corresponding groun
地板
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Rinku Sharma,Tej K. Bhat,Om P. Sharmale a number of different approaches have been presented, a quantitative evaluation of those algorithms remains a challenging task: Manual generation of ground truth for real-world data is often time-consuming and error-prone, and while tools for generating synthetic datasets with corresponding groun
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Jingyu Huang,Philip N. Nkrumah,Yi Li,Gloria Appiah-Sefah require ground truth data. Moreover, available ground truth information can be incorporated to additionally evaluate the correctness of the graph extraction algorithm. We demonstrate the usefulness and applicability of our approach in an exemplary study on synthetic and real-world data.
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發(fā)表于 2025-3-23 09:31:45 | 只看該作者
Rinku Sharma,Tej K. Bhat,Om P. Sharma require ground truth data. Moreover, available ground truth information can be incorporated to additionally evaluate the correctness of the graph extraction algorithm. We demonstrate the usefulness and applicability of our approach in an exemplary study on synthetic and real-world data.
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