Machine-learning methods for computational science and engineering

Michael Frank^*, Dimitris Drikakis, Vassilis Charissis

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

135 Citations (Scopus)

371 Downloads (Pure)

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2021
Employing emerging technologies to develop and evaluate in-vehicle intelligent systems for driver support: infotainment AR HUD case study
Charissis, V., Falah, J., Lagoo, R., Alfalah, S. F. M., Khan, S., Wang, S., Altarteer, S., Bram Larbi, K. & Drikakis, D., Feb 2021, In: Applied Sciences. 11, 4, p. 1-28 28 p., 1397.
Research output: Contribution to journal › Article › peer-review

Open Access
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40 Citations (Scopus)

233 Downloads (Pure)
2020
Improving emergency vehicles’ response times with the use of Augmented Reality and Artificial Intelligence
Bram-Larbi, K. F., Charissis, V., Khan, S., Harrison, D. K. & Drikakis, D., 4 Nov 2020, In: Lecture Notes in Computer Science. 12429, p. 24-39 16 p.
Research output: Contribution to journal › Article › peer-review

Open Access
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5 Citations (Scopus)

481 Downloads (Pure)
2019
Technology acceptance model for 3D virtual reality system in luxury brands online stores
Altarteer, S. & Charissis, V., 13 May 2019, In: IEEE Access. 7, p. 64053-64062 10 p.
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59 Citations (Scopus)

408 Downloads (Pure)
2008
Human–machine collaboration through vehicle head up display interface
Charissis, V. & Papanastasiou, S., 1 Jan 2008, In: Cognition, Technology and Work. 12, 1, p. 41-50 10 p.
Research output: Contribution to journal › Article › peer-review
90 Citations (Scopus)

Research output