International Congress on Measurement, Quality and Data Science MQDS on June 05-07, 2023 in Bordeaux, France
- Short Name: MQDS
- Event Type: Conference
- Presentation: Physical
- Website URL: https://www.mq-datascience.com
- Contact E-mail: [email protected]
- Location: Bordeaux, France
- Venue: HILTON Garden
- Date: June 05-07, 2023
- Final Submission: January 31, 2023
- Notification: January 31, 2023
- Organization: CAFMET
- Conference Tags: advances in engineering advanced technologies quality engineering quality management quality control data science data mining metadata data analysis data management measurement big data engineering metrology optical metrology total quality management instrumentation biosensors & bio instrumentation machine & deep learning artificial intelligence & machine learning data science and machine learning test and measurement advanced control advanced sensors
The international congress on Measurement, Quality and Data Science - MQDS 2023 - is a multidisciplinary congress bringing together academics and industrialists, researchers, engineers, measurement scientists, statisticians and quality professionals. This congress allows to share the experiences and to discuss the current and future developments in the fields of measurement and quality engineering.
MQDS 2023 aims in particular to highlight the importance of data science tools (including statistical tools, advanced data analytics and machine learning) in the fields of quality engineering management and measurement for quality, reliability, security, maintenance, system optimization, visual management, performance management.
The international congress - MQDS 2023 - will clearly demonstrate the need to foster interdisciplinary exchanges related to the fields of measurement and quality.
CONGRESS TOPICS
• Advanced sensors and instrumentation
• Smart measurement systems
• Measurement systems analysis
• Uncertainty evaluation
• Quality engineering management
• Conformance assessment
• In-process measuring systems and process
control
• Reliability, safety and maintenance
• Risk management
• Data mining and decision making
• Data and knowledge management
• Machine learning and AI
• IoT and Industry 4.0
• Best practice guidance, standards and
industrial case studies
• Measurement and quality in all sectors
including manufacturing, automotive,
railway, aerospace, built environment,
health, food, energy, etc.
Name: CAFMET
Website: https://www.mq-datascience.com