EMBODIED DIGITAL TWINS FOR ENVIRONMENTAL APPLICATIONS

10 citations as recorded by crossref.

1. 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
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4. 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
5. Forest digital twin via big data integration: Current advances and future perspectives J. Yang & C. Qin https://doi.org/10.17221/47/2026-JFS
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7. Extended reality applications in forest management and operations: a review E. Lopatin et al. https://doi.org/10.1080/14942119.2026.2697645
8. 3D dataset generation using virtual reality for forest biodiversity C. Fol et al. https://doi.org/10.1080/17538947.2024.2422984
9. 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
10. 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