Developing Proprietary Natural Resource Business Models with Machine Learning Approaches for Feedstocks Susceptible to a By-Product First Solution
This research project aims to employ advanced machine learning and data science models for Developing Proprietary Natural Resource Business Models for Identification of Feedstocks Susceptible to a By-Product First Solution.
Intern:
Ahmad Alkasasbeh
Faculty Supervisor:
Armin Hatefi
Province:
NL
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