LSTM-Powered COVID-19 prediction in central Thailand incorporating meteorological and particulate matter data with a multi-feature selection approach.
- DOI
- 10.1016/j.heliyon.2024.e30319
- Published
- 2024-04-26
- Container
- Heliyon
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 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.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- 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.
- supportingOpen access status: Normalized open-access status: open.
- 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:10.1016/j.heliyon.2024.e30319,
title = {LSTM-Powered COVID-19 prediction in central Thailand incorporating meteorological and particulate matter data with a multi-feature selection approach.},
author = {Winalai C and Anupong S and Modchang C and Chadsuthi S.},
year = {2024},
journal = {Heliyon},
doi = {10.1016/j.heliyon.2024.e30319},
url = {https://doi.org/10.1016/j.heliyon.2024.e30319}
}RIS
TY - JOUR TI - LSTM-Powered COVID-19 prediction in central Thailand incorporating meteorological and particulate matter data with a multi-feature selection approach. AU - Winalai C AU - Anupong S AU - Modchang C AU - Chadsuthi S. PY - 2024 JO - Heliyon DO - 10.1016/j.heliyon.2024.e30319 UR - https://doi.org/10.1016/j.heliyon.2024.e30319 ER -
APA
C, W., S, A., C, M., & S., C. (2024). LSTM-Powered COVID-19 prediction in central Thailand incorporating meteorological and particulate matter data with a multi-feature selection approach.. Heliyon. https://doi.org/10.1016/j.heliyon.2024.e30319
Source records
- europe-pmc · retrieved 2026-09-27T08:16:50.222Z
- doaj · retrieved 2026-09-27T08:16:50.230Z