Hybrid ensemble machine learning algorithms for landscape ecological vulnerability assessment to riverbank erosion
- DOI
- 10.1007/s10661-026-15778-0
- Published
- 2026-08-15
- Container
- Environmental Monitoring and Assessment
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1007/s10661-026-15778-0,
title = {Hybrid ensemble machine learning algorithms for landscape ecological vulnerability assessment to riverbank erosion},
author = {Vicky Anand and Vishnu D. Rajput and Aastha Sharma and Amrita Bajaj and Shekh Moinuddin and Saglara S. Mandzhieva and Tatiana Minkina and Denis Krivoguz},
year = {2026},
journal = {Environmental Monitoring and Assessment},
doi = {10.1007/s10661-026-15778-0},
url = {https://doi.org/10.1007/s10661-026-15778-0}
}RIS
TY - JOUR TI - Hybrid ensemble machine learning algorithms for landscape ecological vulnerability assessment to riverbank erosion AU - Vicky Anand AU - Vishnu D. Rajput AU - Aastha Sharma AU - Amrita Bajaj AU - Shekh Moinuddin AU - Saglara S. Mandzhieva AU - Tatiana Minkina AU - Denis Krivoguz PY - 2026 JO - Environmental Monitoring and Assessment DO - 10.1007/s10661-026-15778-0 UR - https://doi.org/10.1007/s10661-026-15778-0 ER -
APA
Anand, V., Rajput, V. D., Sharma, A., Bajaj, A., Moinuddin, S., Mandzhieva, S. S., Minkina, T., & Krivoguz, D. (2026). Hybrid ensemble machine learning algorithms for landscape ecological vulnerability assessment to riverbank erosion. Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-026-15778-0
Source records
- crossref · retrieved 2026-09-25T21:57:44.051Z