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Titlebook: Data Science; 5th International Co Rui Mao,Hongzhi Wang,Zeguang Lu Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2019 arti

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發(fā)表于 2025-3-21 20:00:41 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Data Science
副標(biāo)題5th International Co
編輯Rui Mao,Hongzhi Wang,Zeguang Lu
視頻videohttp://file.papertrans.cn/264/263049/263049.mp4
叢書(shū)名稱(chēng)Communications in Computer and Information Science
圖書(shū)封面Titlebook: Data Science; 5th International Co Rui Mao,Hongzhi Wang,Zeguang Lu Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2019 arti
描述This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in September 2019.?.The 104 revised full papers presented in these two volumes were carefully reviewed and selected from 395 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including data mining; data base; net work; security; machine learning; bioinformatics; natural language processing; software engineering; graphic images; system; education; application..
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; classification algorithm; cloud computing; computer systems; data security; evol
版次1
doihttps://doi.org/10.1007/978-981-15-0121-0
isbn_softcover978-981-15-0120-3
isbn_ebook978-981-15-0121-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

書(shū)目名稱(chēng)Data Science影響因子(影響力)




書(shū)目名稱(chēng)Data Science影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Data Science網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Data Science網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Data Science被引頻次




書(shū)目名稱(chēng)Data Science被引頻次學(xué)科排名




書(shū)目名稱(chēng)Data Science年度引用




書(shū)目名稱(chēng)Data Science年度引用學(xué)科排名




書(shū)目名稱(chēng)Data Science讀者反饋




書(shū)目名稱(chēng)Data Science讀者反饋學(xué)科排名




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Superimposed Attention Mechanism-Based CNN Network for Reading Comprehension and Question Answeringwork (RNN) or convolutional neural network (CNN) is combined with attention mechanism to construct models to improve their accuracy. However, a single attention mechanism does not fully express the meaning of the text. In this paper, recurrent neural network is replaced with the convolutional neural
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Fish Behavior Analysis Based on Computer Vision: A Survey and so on. Related applications will be expanded if fish behavior is analyzed properly. Traditional analysis of fish behavior mainly relies on the observation of human eyes. With the deepening and extension of application and the rapid development of computer technology, computer vision technology
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