A Novel Automatic Audiometric System Design Based on Machine Learning Methods Using the Brain's Electrical Activity Signals.
- DOI
- 10.3390/diagnostics13030575
- Published
- 2023 Feb 3
- Container
- Diagnostics (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics13030575,
title = {A Novel Automatic Audiometric System Design Based on Machine Learning Methods Using the Brain's Electrical Activity Signals.},
author = {Küçükakarsu M and Kavsaoğlu AR and Alenezi F and Alhudhaif A and Alwadie R and Polat K},
year = {2023},
journal = {Diagnostics (Basel, Switzerland)},
doi = {10.3390/diagnostics13030575},
url = {https://doi.org/10.3390/diagnostics13030575}
}RIS
TY - JOUR TI - A Novel Automatic Audiometric System Design Based on Machine Learning Methods Using the Brain's Electrical Activity Signals. AU - Küçükakarsu M AU - Kavsaoğlu AR AU - Alenezi F AU - Alhudhaif A AU - Alwadie R AU - Polat K PY - 2023 JO - Diagnostics (Basel, Switzerland) DO - 10.3390/diagnostics13030575 UR - https://doi.org/10.3390/diagnostics13030575 ER -
APA
M, K., AR, K., F, A., A, A., R, A., & K, P. (2023). A Novel Automatic Audiometric System Design Based on Machine Learning Methods Using the Brain's Electrical Activity Signals.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics13030575
Source records
- pubmed · retrieved 2026-09-26T03:14:01.036Z