Probabilistic assessment of resistance parameters

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  Data Analytics and Modelling

The project activities would aim to determine the relevant resistance parameters, derive relevant formulas, acquire new knowledge and create probabilistic models, software tools and use the available data to evaluate the probabilistic parameters and their accuracy.

The big data, data fusion, mathematical theory of reliability, random processes, survival and epidemiology, mathematical data analysis and statistical methods (e. g. Bayesian methods, various probabilistic distributions) will be applied in the analysis and modeling of events and dynamics. If necessary, big and small data analytics and applications of artificial intelligence and machine learning will be used.

Built With

• big-data
• data-fusion
• mathematical-theory-of-reliability
• random-processes
• survival-and-epidemiology