Multimodal Interactive System for Visualization of Energy Data in Extended Reality (XR) Settings-Reference-Cited by-同舟云学术

Multimodal Interactive System for Visualization of Energy Data in Extended Reality (XR) Settings

Published:2023 Issue: Volume: Page:163-168
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Chikobava Margarita,Moisieiev Anton,Schmeyer Thomas Achim,Poller Peter,Deru Matthieu,Ndiaye Alassane,Klimenko Albert,Braun Christian,Baus Jörg,Brandherm Boris

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-36004-6_22

Reference13 articles.

1. Brandherm, B., Deru, M., Ndiaye, A., et al.: Integration of renewable energies—AI-based prediction methods for electricity generation from photovoltaic systems. In: Barton, T., Müller, C. (eds.) Apply Data Science: Introduction, Applications and Projects, pp. 137–158. Springer Fachmedien, Wiesbaden (2023). https://doi.org/10.1007/978-3-658-38798-3_9

2. Poller, P., Chikobava, M., Hodges, J., et al.: Back-end semantics for multimodal dialog on XR devices (2021)

3. Prange, A., Chikobava, M., Poller, P., et al.: A multimodal dialogue system for medical decision support inside virtual reality. In: Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue. pp. 23–26 (2017)

4. Lawson, S.W., Pretlove, J.R.G.: Augmented reality for underground pipe inspection and maintenance. In: Telemanipulator and Telepresence Technologies V. SPIE, pp. 98–104 (1998)

5. Stylianidis, E., et al.: Augmented reality geovisualisation for underground utilities. PFG – J. Photogrammetry Remote Sens. Geoinf. Sci. 88(2), 173–185 (2020). https://doi.org/10.1007/s41064-020-00108-x

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