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

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (869 pages)
• Disciplina: 004
• Soggetto topico: Computational intelligence; Artificial intelligence; Computational Intelligence; Artificial Intelligence
• Persona (resp. second.): SugumaranVijayan; XuZheng; ZhouHuiyu
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Application of intelligent systems in multi-modal information analytics
• ISBN: 3-030-51556-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910483880003321
• Lo trovi qui: Univ. Federico II
• Serie: Advances in Intelligent Systems and Computing, . 2194-5365 ; ; 1234