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Evaluation of machine learning algorithms to automate tracking of cell fates by large-field video microscopy.
The aim of machine learning is to automate recognition of complex patterns by development of computer algorithms to replace menial and time-consuming human tasks.
1. Equity in transportation system.
2. Benefits and costs allocation of transportation activities.
3. Macroscopic Fundamental Diagram.
The project will develop a robust approach to use maximum entropy methods to model likelihood functions for a Bayesian analysis of chemical data. This will allow values and confidence intervals to be obtained from chemical measurements that are better ...