Urban morphology and climate vulnerability assessment in Kuwait: A spatio-temporal predictive analysis utilizing deep neural network-enhanced markov chain models for 2050 and 2100.
- DOI
- 10.1371/journal.pone.0318604
- Published
- 2025
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0318604,
title = {Urban morphology and climate vulnerability assessment in Kuwait: A spatio-temporal predictive analysis utilizing deep neural network-enhanced markov chain models for 2050 and 2100.},
author = {Al-Shaar W and Lehmann X and Saad N and Elmazi G and Al-Shaar M and Tohme C},
year = {2025},
journal = {PloS one},
doi = {10.1371/journal.pone.0318604},
url = {https://doi.org/10.1371/journal.pone.0318604}
}RIS
TY - JOUR TI - Urban morphology and climate vulnerability assessment in Kuwait: A spatio-temporal predictive analysis utilizing deep neural network-enhanced markov chain models for 2050 and 2100. AU - Al-Shaar W AU - Lehmann X AU - Saad N AU - Elmazi G AU - Al-Shaar M AU - Tohme C PY - 2025 JO - PloS one DO - 10.1371/journal.pone.0318604 UR - https://doi.org/10.1371/journal.pone.0318604 ER -
APA
W, A., X, L., N, S., G, E., M, A., & C, T. (2025). Urban morphology and climate vulnerability assessment in Kuwait: A spatio-temporal predictive analysis utilizing deep neural network-enhanced markov chain models for 2050 and 2100.. PloS one. https://doi.org/10.1371/journal.pone.0318604
Source records
- pubmed · retrieved 2026-09-25T03:30:33.451Z
- europe-pmc · retrieved 2026-09-25T03:30:33.490Z
- doaj · retrieved 2026-09-25T03:30:33.445Z