Abstract: This paper presents a vehicle speed prediction method based on the self-learning multi-step Markov Chain. By estimating the transition probability matrices with the online measured data, the ...

When aerospace engineers talk about the future of flight, liquid hydrogen (LH2) is often part of the conversation. It is lightweight, energy-dense and carbon-free at the point of use. But storing and ...

Prof Arnaud Malan recently presented on advances in high-fidelity modelling of heat and mass transfer in cryogenic tanks.

Abstract: Leveraging multiple heterogeneous measurements to predict wind power has long been a challenging task in the electrical community. In this paper, a deep architecture incorporated with ...