Electrocardiogram for Biometrics by using Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ): Integrating Feature Extraction and Classification
- DOI
- 10.21307/ijssis-2017-619
- Published
- 2013-01-01
- Container
- International Journal on Smart Sensing and Intelligent Systems
- Publisher
- Walter de Gruyter GmbH
- 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:10.21307/ijssis-2017-619,
title = {Electrocardiogram for Biometrics by using Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ): Integrating Feature Extraction and Classification},
author = {Elly Matul Imah and Wisnu Jatmiko and T. Basaruddin},
year = {2013},
journal = {International Journal on Smart Sensing and Intelligent Systems},
doi = {10.21307/ijssis-2017-619},
url = {https://doi.org/10.21307/ijssis-2017-619}
}RIS
TY - JOUR TI - Electrocardiogram for Biometrics by using Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ): Integrating Feature Extraction and Classification AU - Elly Matul Imah AU - Wisnu Jatmiko AU - T. Basaruddin PY - 2013 JO - International Journal on Smart Sensing and Intelligent Systems DO - 10.21307/ijssis-2017-619 UR - https://doi.org/10.21307/ijssis-2017-619 ER -
APA
Imah, E. M., Jatmiko, W., & Basaruddin, T. (2013). Electrocardiogram for Biometrics by using Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ): Integrating Feature Extraction and Classification. International Journal on Smart Sensing and Intelligent Systems. https://doi.org/10.21307/ijssis-2017-619
Source records
- crossref · retrieved 2026-09-25T13:51:34.940Z