Tasks
Familiarization with the topic of quality management in the racing environment, processing time series data, and machine learning based on time series
Conducting a literature review on requirements and existing approaches (if applicable)
Determining potential savings and implementation budgets: Economic viability assessment of various AI-based methods
Defining the key topics and thus potential areas of application
Concept development, conducting an initial statistical analysis if applicable
Concept study for automated data processing and generation, comparing different training approaches and models if applicable
Examining integration options into the existing process landscape
Documenting, presenting, and exploiting the research results
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