03587nam 22005415 450 991048388000332120251113212013.03-030-51556-710.1007/978-3-030-51556-0(CKB)4100000011354669(MiAaPQ)EBC6273319(DE-He213)978-3-030-51556-0(PPN)258061995(EXLCZ)99410000001135466920200720d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierApplication 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 Zhou1st ed. 2021.Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (869 pages)Advances in Intelligent Systems and Computing,2194-5365 ;12343-030-51555-9 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.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 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.Advances in Intelligent Systems and Computing,2194-5365 ;1234Computational intelligenceArtificial intelligenceComputational IntelligenceArtificial IntelligenceComputational intelligence.Artificial intelligence.Computational Intelligence.Artificial Intelligence.004Sugumaran Vijayanedthttp://id.loc.gov/vocabulary/relators/edtXu Zhengedthttp://id.loc.gov/vocabulary/relators/edtZhou Huiyuedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910483880003321Application of intelligent systems in multi-modal information analytics2488641UNINA