AboutComputing and Processing; Robotics and Control Systems; Signal Processing and Analysis
Keywords:Artificial Intelligence,Big Date.
Scope:The 2022 International Conference on Artificial Intelligence, Big Data and Computer Applications will bring together researchers and scientists from big data and artificial intelligence, researchers from various application areas to discuss problems and solutions in the area, to identify new issues, and to shape future directions for research. This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration.
Sponsor Type:1; 9; 9
AIBDCA2022 welcomes author submission of original and significant contributions. Each submission is anonymously reviewed by an average of three independent reviewers, to ensure the final high standard and quality of submitted papers. Topics include but not limited to:
I. Artificial Intelligence
1. Neural networks and applications
2. Biometric identification
3. Data Mining
4. Knowledge discovery
5. Machine learning
6. Humanoid Robot
7. Intelligent information systems
8. Affective computing
9. Fuzzy logic and soft computing
10. Unmanned aerial vehicle
11. Natural language processing
12. Pilotless automobile
13. Artificial intelligence applications in science, engineering, healthcare, and medicine
II. Big Data
1. Data analysis / Data flow application
2. Big data search and information retrieval technology
3. Memory systems and platforms for big data analysis
4. Big data and deep learning
5. Big data and high-performance computing
6. Techniques, models, and algorithms of big data
7. Big data network infrastructure
8. Big data applications for the Internet of Things
9. Big data applications in smart cities
10. Fault tolerance and reliability
11. Scalability of big data systems
12. Big data privacy and security
13. Visual analysis algorithms and basics
14. Visual graphics and context models
15. Big data transformation and performance
16. Big data collection, integration,
17. Cleaning and best practices
18. Storage system (including file system, NoSQL and RDBMS)
19. Resource management method for big data system
11月04日
2022
11月05日
2022
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