Outputs (2)

Employing emerging technologies to develop and evaluate in-vehicle intelligent systems for driver support: infotainment AR HUD case study (2021)
Journal Article
Charissis, V., Falah, J., Lagoo, R., Alfalah, S. F. M., Khan, S., Wang, S., Altarteer, S., Bram Larbi, K., & Drikakis, D. (2021). Employing emerging technologies to develop and evaluate in-vehicle intelligent systems for driver support: infotainment AR HUD case study. Applied Sciences, 11(4), Article 1397. https://doi.org/10.3390/app11041397

The plurality of current infotainment devices within the in-vehicle space produces an unprecedented volume of incoming data that overwhelm the typical driver, leading to higher collision probability. This work presents an investigation to an alternat... Read More about Employing emerging technologies to develop and evaluate in-vehicle intelligent systems for driver support: infotainment AR HUD case study.

Machine-Learning Methods for Computational Science and Engineering (2020)
Journal Article
Frank, M., Drikakis, D., & Charissis, V. (2020). Machine-Learning Methods for Computational Science and Engineering. Computation, 8(1), Article 15. https://doi.org/10.3390/computation8010015

The re-kindled fascination in machine learning (ML), observed over the last few decades, has also percolated into natural sciences and engineering. ML algorithms are now used in scientific computing, as well as in data-mining and processing. In this... Read More about Machine-Learning Methods for Computational Science and Engineering.