Enhanced soil moisture forecasting using Tabu Search algorithm-optimised attention-based CNN-LSTM model with remote sensing data integration.

R VK, M A

Open source

DOI
10.1080/10934529.2026.2634545
Published
2026
Container
Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1080/10934529.2026.2634545,
  title = {Enhanced soil moisture forecasting using Tabu Search algorithm-optimised attention-based CNN-LSTM model with remote sensing data integration.},
  author = {R VK and M A},
  year = {2026},
  journal = {Journal of environmental science and health. Part A, Toxic/hazardous substances \& environmental engineering},
  doi = {10.1080/10934529.2026.2634545},
  url = {https://doi.org/10.1080/10934529.2026.2634545}
}

RIS

TY  - JOUR
TI  - Enhanced soil moisture forecasting using Tabu Search algorithm-optimised attention-based CNN-LSTM model with remote sensing data integration.
AU  - R VK
AU  - M A
PY  - 2026
JO  - Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering
DO  - 10.1080/10934529.2026.2634545
UR  - https://doi.org/10.1080/10934529.2026.2634545
ER  - 

APA

VK, R., & A, M. (2026). Enhanced soil moisture forecasting using Tabu Search algorithm-optimised attention-based CNN-LSTM model with remote sensing data integration.. Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering. https://doi.org/10.1080/10934529.2026.2634545

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