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Titlebook: Neural Information Processing; 28th International C Teddy Mantoro,Minho Lee,Achmad Nizar Hidayanto Conference proceedings 2021 Springer Nat

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書目名稱Neural Information Processing
副標(biāo)題28th International C
編輯Teddy Mantoro,Minho Lee,Achmad Nizar Hidayanto
視頻videohttp://file.papertrans.cn/664/663640/663640.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Neural Information Processing; 28th International C Teddy Mantoro,Minho Lee,Achmad Nizar Hidayanto Conference proceedings 2021 Springer Nat
描述The two-volume set CCIS 1516 and 1517 constitutes thoroughly refereed short papers presented at the 28th International Conference on Neural Information Processing, ICONIP 2021, held in Sanur, Bali, Indonesia, in December 2021.* The volume also presents papers from the?workshop on Artificial Intelligence and Cyber Security, held during the ICONIP 2021.?.The 176 short and workshop papers presented in this volume were carefully reviewed and selected for publication out of 1093 submissions. The papers are organized in topical sections as follows: theory and algorithms;?AI and cybersecurity; cognitive neurosciences; human centred computing; advances in deep and shallow machine learning algorithms for biomedical data and imaging; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; applications..* The conference was held virtually due to the COVID-19 pandemic..
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; computer hardware; computer networks; computer security; computer systems; compu
版次1
doihttps://doi.org/10.1007/978-3-030-92307-5
isbn_softcover978-3-030-92306-8
isbn_ebook978-3-030-92307-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2021
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




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Neural Information Processing978-3-030-92307-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
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claimed that process-based erosion models provide several advantages over empirically based erosion-prediction technology, amongst which is the capability to estimate spatial and temporal distributions of soil loss (Nearing et al. 1989). Evaluation of such process-based models has, however, been gen
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Xiaowei Yuan,Jingyuan Hu,Xiaodan Zhang,Honglei Lv,Hao Liuent knowledge and experiences of specialists in soil erosionAccelerated degradation of soils and surface waters produce increasing problems in many parts of the world. Within this context, the book addresses the topic Application of Physically Based Soil Erosion Models in order to present some essen
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Karolina Seweryn,Katarzyna Lorenc,Anna Wróblewska,Sylwia Sysko-Romańczukent knowledge and experiences of specialists in soil erosionAccelerated degradation of soils and surface waters produce increasing problems in many parts of the world. Within this context, the book addresses the topic Application of Physically Based Soil Erosion Models in order to present some essen
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