Enhanced soil moisture forecasting using Tabu Search algorithm-optimised attention-based CNN-LSTM model with remote sensing data integration.
- 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
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
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
Source records
- pubmed · retrieved 2026-09-25T14:23:34.777Z
- europe-pmc · retrieved 2026-09-25T14:23:34.808Z