SS-RIME: A Scale-Stabilized Approach to EEG Cognitive Workload Classification

Kais Khaldi, Afrah Alanazi, Inam Alanazi, Sahar Almenwer, Anis Mohamed

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DOI: 10.3390/s26092679
Published: 2026-04-25
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26092679,
  title = {SS-RIME: A Scale-Stabilized Approach to EEG Cognitive Workload Classification},
  author = {Kais Khaldi and Afrah Alanazi and Inam Alanazi and Sahar Almenwer and Anis Mohamed},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26092679},
  url = {https://doi.org/10.3390/s26092679}
}

RIS

TY  - JOUR
TI  - SS-RIME: A Scale-Stabilized Approach to EEG Cognitive Workload Classification
AU  - Kais Khaldi
AU  - Afrah Alanazi
AU  - Inam Alanazi
AU  - Sahar Almenwer
AU  - Anis Mohamed
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26092679
UR  - https://doi.org/10.3390/s26092679
ER  -

APA

Khaldi, K., Alanazi, A., Alanazi, I., Almenwer, S., & Mohamed, A. (2026). SS-RIME: A Scale-Stabilized Approach to EEG Cognitive Workload Classification. Sensors. https://doi.org/10.3390/s26092679

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crossref · retrieved 2026-09-25T03:21:20.973Z