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Record Nr. |
UNINA9910483880003321 |
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Titolo |
Application of Intelligent Systems in Multi-modal Information Analytics : Proceedings of the 2020 International Conference on Multi-model Information Analytics (MMIA2020), Volume 2 / / edited by Vijayan Sugumaran, Zheng Xu, Huiyu Zhou |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (869 pages) |
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Collana |
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Advances in Intelligent Systems and Computing, , 2194-5365 ; ; 1234 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Computational Intelligence |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Noise Data Removal Method of Frequency Response Curve Based on MNKriging Interpolation Algorithm -- An Analysis Method of Multi Round Interactive Semantics for Power Enterprises based on Solr Engine -- Simplification Method of Two-Level Stroke Line Based on Painting Sequence -- Typical Risk Situations in Driving Situations -- Construction of Smart Campus under the Background of Big Data -- Mass Fashion Life Service Space in Intelligent Cities -- Development Background of China's Energy Internet Industry and Experiences -- Probe on Curriculum Design of Electronic Circuit Based on Multisim14.0. |
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Sommario/riassunto |
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This book presents the proceedings of the 2020 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Changzhou, China, on June 18–19, 2020. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including data mining, multi-modal informatics, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent |
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information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field. |
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