Titlebook: Makro?konomie; Gerhard Schmitt-Rink Textbook 19901st edition Springer-Verlag Berlin Heidelberg 1990 Au?enwirtschaft.Einkommen.Einkommens-

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書(shū)目名稱Makro?konomie影響因子(影響力)




書(shū)目名稱Makro?konomie影響因子(影響力)學(xué)科排名




書(shū)目名稱Makro?konomie網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Makro?konomie網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Makro?konomie被引頻次




書(shū)目名稱Makro?konomie被引頻次學(xué)科排名




書(shū)目名稱Makro?konomie年度引用




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書(shū)目名稱Makro?konomie讀者反饋




書(shū)目名稱Makro?konomie讀者反饋學(xué)科排名

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Gerhard Schmitt-Rinkpter we consider instead a graph-based learning method, Graph Neural Networks, a paradigm that has emerged in the last few years and that constitutes the state of the art for several problems. After presenting the pertinent theoretical background, we discuss two possibilities to construct the underl

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reless signal variations, and security vulnerabilities. Countering these challenges can improve theaccuracy, reliability, predictability, and energy-efficiency of indoor localization and navigation. The book identifies severalnovel energy-efficient, real-time, and robust indoor localization techniqu

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e selection with Extra Trees Classifier and classify the different stages of malaria have been explored. The proposed classification strategy can be achieved by unifying Extremely Randomized Trees (ERT). The obtained experimental results showed Extremely Randomized Trees classifier accuracy of 98.02

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