The Machine learning (ML) revolution is becoming established in oceanographic research, but its applications to emulate marine biogeochemical models are still rare. We pioneer a novel application of m
This paper proposes a two-level, data-driven, digital twin concept for the autonomous landing of aircraft, under some assumptions. It features a digital twin instance for model predictive control; a
The complexity of the gut ecosystem, with thousands of cross-talking microbial colonizers, together with sparsely observed abundance profiles, has limited progress. We have developed a computational f
