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
- 2025-08-18
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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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 = {Walid Al-Shaar and Xavier Lehmann and Noha Saad and Gremina Elmazi and Mohamad Al-Shaar and Christelle Tohme},
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 - Walid Al-Shaar AU - Xavier Lehmann AU - Noha Saad AU - Gremina Elmazi AU - Mohamad Al-Shaar AU - Christelle Tohme PY - 2025 JO - PLOS One DO - 10.1371/journal.pone.0318604 UR - https://doi.org/10.1371/journal.pone.0318604 ER -
APA
Al-Shaar, W., Lehmann, X., Saad, N., Elmazi, G., Al-Shaar, M., & Tohme, C. (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
- crossref · retrieved 2026-11-10T08:34:38.096Z