Hybrid AI-Geo-informatics framework for river course change prediction and disaster risk mitigation.

Modhiya J, Khan W, Ansari ZA, Kiranbabu MNV, Poonawala T, Nandi KD

DOI: 10.1038/s41598-026-62726-6
Published: 2026 Jul 21
Container: Scientific reports
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-62726-6,
  title = {Hybrid AI-Geo-informatics framework for river course change prediction and disaster risk mitigation.},
  author = {Modhiya J and Khan W and Ansari ZA and Kiranbabu MNV and Poonawala T and Nandi KD},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-62726-6},
  url = {https://doi.org/10.1038/s41598-026-62726-6}
}

RIS

TY  - JOUR
TI  - Hybrid AI-Geo-informatics framework for river course change prediction and disaster risk mitigation.
AU  - Modhiya J
AU  - Khan W
AU  - Ansari ZA
AU  - Kiranbabu MNV
AU  - Poonawala T
AU  - Nandi KD
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-62726-6
UR  - https://doi.org/10.1038/s41598-026-62726-6
ER  -

APA

J, M., W, K., ZA, A., MNV, K., T, P., & KD, N. (2026). Hybrid AI-Geo-informatics framework for river course change prediction and disaster risk mitigation.. Scientific reports. https://doi.org/10.1038/s41598-026-62726-6

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pubmed · retrieved 2026-09-26T05:30:09.829Z