Sort by
Refine Your Search
-
Country
-
Employer
-
Field
-
machine learning algorithms for system optimization and predictive maintenance, and developing AI models to simulate environmental and social impacts of large-scale deployment (100+ toilet systems
-
project activities include formulating and fabricating functional sponges, optimizing the filtration process using modelling, conducting system characterisation and preparing research papers for publication
-
). The content of their studies are closely related to the research areas of SECAI. This includes but is not limited to studies in the following programmes: - MSc Computational Modeling and Simulation (TUD) in
-
modelling. The results of this research have real-world applications in several different impact areas including modelling national bushfire risk and resilience, and interventions on the Great Barrier Reef
-
hydrological data. The results of this research have real-world applications in groundwater and surface water modelling. In this research Masters project, the latest AI and KR (knowledge representation) concepts