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Titlebook: Neural Information Processing; 25th International C Long Cheng,Andrew Chi Sing Leung,Seiichi Ozawa Conference proceedings 2018 Springer Nat

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發(fā)表于 2025-3-21 19:42:55 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Neural Information Processing
副標題25th International C
編輯Long Cheng,Andrew Chi Sing Leung,Seiichi Ozawa
視頻videohttp://file.papertrans.cn/664/663636/663636.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Neural Information Processing; 25th International C Long Cheng,Andrew Chi Sing Leung,Seiichi Ozawa Conference proceedings 2018 Springer Nat
描述.The seven-volume set of LNCS 11301-11307 constitutes the proceedings of the 25th International Conference on Neural Information Processing,?ICONIP 2018, held in Siem Reap, Cambodia, in December 2018..The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The 6th volume, LNCS 11306, is organized in topical sections on time-series analysis; social systems; and image and signal processing..
出版日期Conference proceedings 2018
關(guān)鍵詞artificial intelligence; biomedical engineering; data mining; deep learning; hci; human-computer interact
版次1
doihttps://doi.org/10.1007/978-3-030-04224-0
isbn_softcover978-3-030-04223-3
isbn_ebook978-3-030-04224-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

書目名稱Neural Information Processing影響因子(影響力)




書目名稱Neural Information Processing影響因子(影響力)學(xué)科排名




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Neural Information Processing被引頻次




書目名稱Neural Information Processing被引頻次學(xué)科排名




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書目名稱Neural Information Processing年度引用學(xué)科排名




書目名稱Neural Information Processing讀者反饋




書目名稱Neural Information Processing讀者反饋學(xué)科排名




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Structure, Attribute and Homophily Preserved Social Network Embedding consistent subspace where the interplay between them is captured toward learning optimal network representations. Experiments conducted on three real-world social networks demonstrate that the proposed algorithm SAHP outperforms the state-of-the-art network embedding methods.
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Influence of Clustering on the Opinion Formation Dynamics in Online Social Networksrs, the proposed model is the first to consider the impact of clustering capability of agent and incorporates the influence of opinion clusters (groups) formed outside the confidence bound. Simulation results show that our model can capture several characteristics of real-world opinion dynamics.
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to soil fertility. and the Modem intensive agriculture leads to the degradation of soil structure subsequent loss through erosion of a resource that is vital f978-1-4899-2613-5978-1-4899-2611-1Series ISSN 0258-1221
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Lei Wang,Zongwen Huang,Suixiang Shi,Kuo Chen,Lingyu Xu,Gaowei Zhang to soil fertility. and the Modem intensive agriculture leads to the degradation of soil structure subsequent loss through erosion of a resource that is vital f978-1-4899-2613-5978-1-4899-2611-1Series ISSN 0258-1221
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mg/kg; cadmium – 0.75 mg/kg; arsenic – 18 mg/kg. Studied are also the heavy metals content in plants. The soil and plant pollution in the region is realized mainly through the aerosol pathway. Proved is the existence of possibilities for dispersion of dust particles, coming from the landfill for ind
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