EMBODIED DIGITAL TWINS FOR ENVIRONMENTAL APPLICATIONS

9 citations as recorded by crossref.

1. AnywhereXR: on-the-fly 3D environments as a basis for open source immersive digital twin applications A. Klippel et al. https://doi.org/10.1080/17538947.2025.2520000
2. Generative Diffusion-Based Contract Design for Efficient AI Twin Migration in Vehicular Embodied AI Networks Y. Zhong et al. https://doi.org/10.1109/TMC.2025.3526230
3. Extended reality applications in forest management and operations: a review E. Lopatin et al. https://doi.org/10.1080/14942119.2026.2697645
4. A study of highly efficient stochastic sequences for multidimensional sensitivity analysis I. Dimov et al. https://doi.org/10.1515/mcma-2022-2101
5. Virtual geo-cyber environments: metaphorical visualization of virtual cyberspace with geographical knowledge B. Jiang et al. https://doi.org/10.1080/17538947.2024.2324959
6. The UK’s 25 Year Plan for the Environment and the Convention on Biological Diversity: Gaps, Synergies and Opportunities N. Brummitt & A. Araujo https://doi.org/10.3390/su16072975
7. 3D dataset generation using virtual reality for forest biodiversity C. Fol et al. https://doi.org/10.1080/17538947.2024.2422984
8. What grows, adapts and lives in the digital sphere? Systematic literature review on the dynamic modelling of flora and fauna in digital twins L. Mrosla et al. https://doi.org/10.1016/j.ecolmodel.2025.111091
9. Using a Digital Twin to Study the Influence of Climatic Changes on High Ozone Levels in Bulgaria and Europe Z. Zlatev & I. Dimov https://doi.org/10.3390/atmos13060932