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Titlebook: Lehrbuch der Anästhesiologie und Intensivmedizin; Band 2: Intensivmedi Herbert Benzer,H. Burchardi,Peter M. Suter Textbook 19936th edition

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发表于 2025-3-21 18:15:09 | 显示全部楼层 |阅读模式
书目名称Lehrbuch der Anästhesiologie und Intensivmedizin
副标题Band 2: Intensivmedi
编辑Herbert Benzer,H. Burchardi,Peter M. Suter
视频videohttp://file.papertrans.cn/471/470301/470301.mp4
图书封面Titlebook: Lehrbuch der Anästhesiologie und Intensivmedizin; Band 2: Intensivmedi Herbert Benzer,H. Burchardi,Peter M. Suter Textbook 19936th edition
出版日期Textbook 19936th edition
关键词Analgosedierung; Antibiotikatherapie; Hämostasestörungen; Parenterale Ernährung; Volumenersatz; Analgesie
版次6
doihttps://doi.org/10.1007/978-3-642-97183-9
isbn_ebook978-3-642-97183-9
copyrightSpringer Berlin Heidelberg 1993
The information of publication is updating

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发表于 2025-3-21 21:23:11 | 显示全部楼层
H. Benzerarning, multi-agent deep reinforcement learning). We also present a wide application of DT as an enabling technology for 6G networks, Aerial-Ground Networks, and Unmanned Aerial Vehicles (UAVs)...The book allows an easy cross-reference owing to the broad coverage on both the principle and applicatio
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H. Benzerr. The physical background is explained for each simulation example, and each simulation example concludes with suggestions for further work. This enables the reader to perform further investigations and exercises with the digital twins..978-3-031-25691-2978-3-031-25692-9
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K.-D. Neandertware to remotely monitor and automatically control the microclimate and irrigation operations as well as to make predictions about possible plant diseases. Unlike the traditional cloud server-based approach, we have adopted the fog computing model that implies deploying the developed digital twin s
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U. Pechlanerant impact on the classification accuracy and other supervised learning tasks required in network security, Internet of things, cybersecurity, etc. One of the findings of this study is that larger kernel parameter(s) would encourage SVMs with more localities and vice versa. This chapter provides som
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B. Bunzel,G. Pauser,U. V. Wisiakant impact on the classification accuracy and other supervised learning tasks required in network security, Internet of things, cybersecurity, etc. One of the findings of this study is that larger kernel parameter(s) would encourage SVMs with more localities and vice versa. This chapter provides som
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W. Söllner,W. Wesiack The challenges that may arise during the implementation of Digital Twin technology are also highlighted, along with the deployment strategies for successful implementation..Best practices and guidelines for Digital Twin technology are discussed, as well as the applications of Digital Twins in vario
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