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CQFD - 2019

Overall Objectives
Application Domains
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Bibliography


2019 Project-Team Activity Report
CQFD
Quality control and dynamic reliability
Research centre: Bordeaux - Sud-Ouest
In partnership with: CNRS, Université de Bordeaux

In collaboration with: Institut de Mathématiques de Bordeaux (IMB)



Field: Applied Mathematics, Computation and Simulation

Theme: Stochastic approaches
Keywords:
Computer Science and Digital Science:
  • A3.3. - Data and knowledge analysis
  • A3.4.1. - Supervised learning
  • A3.4.2. - Unsupervised learning
  • A3.4.5. - Bayesian methods
  • A3.4.6. - Neural networks
  • A3.4.7. - Kernel methods
  • A5.9.2. - Estimation, modeling
  • A5.9.6. - Optimization tools
  • A6.1.2. - Stochastic Modeling
  • A6.1.3. - Discrete Modeling (multi-agent, people centered)
  • A6.2.2. - Numerical probability
  • A6.2.3. - Probabilistic methods
  • A6.2.4. - Statistical methods
  • A6.2.6. - Optimization
  • A6.4.2. - Stochastic control
  • A6.4.6. - Optimal control
  • A9.2. - Machine learning
  • A9.6. - Decision support
Other Research Topics and Application Domains:
  • B1.2.2. - Cognitive science
  • B2.2.4. - Infectious diseases, Virology
  • B2.6.1. - Brain imaging
  • B5.9. - Industrial maintenance
  • B6.2. - Network technologies
  • B6.3.3. - Network Management
  • B6.5. - Information systems
  • B9.2.3. - Video games
  • B9.5.2. - Mathematics
  • B9.5.3. - Physics
  • B9.5.6. - Data science
  • B9.11. - Risk management
  • B9.11.1. - Environmental risks
  • B9.11.2. - Financial risks