Artificial Intelligence Algorithms and Applications [electronic resource] : 11th International Symposium, ISICA 2019, Guangzhou, China, November 16–17, 2019, Revised Selected Papers /
Material type: TextSeries: Communications in Computer and Information Science ; 1205Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XIV, 811 p. 420 illus., 232 illus. in color. online resourceContent type:- text
- computer
- online resource
- 9789811555770
- Artificial intelligence
- Database management
- Computer science -- Mathematics
- Computer engineering
- Computer networks
- Algorithms
- Computer vision
- Artificial Intelligence
- Database Management System
- Mathematics of Computing
- Computer Engineering and Networks
- Design and Analysis of Algorithms
- Computer Vision
- 006.3 23
- Q334-342
- TA347.A78
New Frontier in Evolutionary Algorithms -- Evolutionary Multi-objective and Dynamic Optimization -- Intelligent Multimedia Systems -- Virtualization and AI Applications -- Smart Scheduling -- Intelligent Control -- Big Data and Cloud Computing -- Statistical Learning.
This book constitutes the thoroughly refereed proceedings of the 11th International Symposium on Intelligence Computation and Applications, ISICA 2019, held in Guangzhou, China, in November 2019. The 65 papers presented were carefully reviewed and selected from the total of 112 submissions. This volume features the most up-to-date research in evolutionary algorithms, parallel computing and quantum computing, evolutionary multi-objective and dynamic optimization, intelligent multimedia systems, virtualization and AI applications, smart scheduling, intelligent control, big data and cloud computing, deep learning, and hybrid machine learning systems.The papers are organized according to the following topical sections: new frontier in evolutionary algorithms; evolutionary multi-objective and dynamic optimization; intelligent multimedia systems; virtualization and AI applications; smart scheduling; intelligent control; big data and cloud computing; statistical learning.
There are no comments on this title.