Ce Zhang

  1. Community
About
Ce is a Lecturer in Geospatial Data Science based in CEEDS. He has extensive expertise in Artificial Intelligence, Machine Learning and Deep Learning, and the applications of innovative techniques in geospatial data science and remote sensing.
Organisation
LU - Lancaster Environment Centre
Role
Member (Staff)
Profile
https://www.lancaster.ac.uk/lec/about-us/people/ce-zhang

Method themes

Complex systems

Data acquisition and infrastructure

Decision-making under Uncertainty

Data Science Methods

Associated projects

Explainable AI for UK Agricultural Land Use Decision-making

Agricultural land use dynamics and their associated driving factors represent highly complex systems of flows that are subject to non-linearities, sensitivities, and uncertainties across spatial an

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