Application of Intelligent Systems in Multi-modal Information Analytics: Proceedings of the 2020 International Conference on Multi-model Information Analytics (MMIA2020), Volume 2: Advances in Intelligent Systems and Computing, cartea 1234
Editat de Vijayan Sugumaran, Zheng Xu, Huiyu Zhouen Limba Engleză Paperback – 21 iul 2020
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Specificații
ISBN-13: 9783030515553
ISBN-10: 3030515559
Pagini: 858
Ilustrații: XV, 858 p. 321 illus., 167 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.21 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Intelligent Systems and Computing
Locul publicării:Cham, Switzerland
ISBN-10: 3030515559
Pagini: 858
Ilustrații: XV, 858 p. 321 illus., 167 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.21 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Intelligent Systems and Computing
Locul publicării:Cham, Switzerland
Cuprins
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
Textul de pe ultima copertă
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.
Caracteristici
Presents recent research on intelligent systems in multi-modal information analytics Includes selected papers presented at the 2020 International Conference on Multi-modal Information Analytics (MMIA 2020) held in Changzhou, China, on March 5–6, 2020 Written by experts in the field