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plants they visit and pollinate. Bayesian networks (BNs), and other probabilistic graphical models, can provide a visual representation of the underlying structure of a complex system by representing
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in conventional imaging, and to access a complementary ‘dark-field’ signal that originates from tiny sample structures. We do this by designing and implementing novel experimental set-ups and
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, which includes images and structured data. Learn more about minimum entry requirements . Primary supervisor Teresa Wang Apply now Supervisor Connect Supervisor Connect allows you to explore cutting-edge
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Learning, Algorithms and Data Structures
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Background in Machine Learning, Algorithms and Data Structures
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Immersive Visualization of Protein Structures in Food Science Using VR/AR Authorised by: Marketing, Faculty of IT , Monash University . Maintained by: Marketing, Faculty of IT . Copyright © 2024 Monash