Bio-inspired EEG signal computing using machine learning and fuzzy theory for decision making in future-oriented brain-controlled vehicles
- DOI
- 10.1016/j.slast.2024.100187
- Published
- 2024-10
- Container
- SLAS Technology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.slast.2024.100187,
title = {Bio-inspired EEG signal computing using machine learning and fuzzy theory for decision making in future-oriented brain-controlled vehicles},
author = {Haewon Byeon and Aadam Quraishi and Mohammed I. Khalaf and Sunil MP and Ihtiram Raza Khan and Ashit Kumar Dutta and Rakeshnag Dasari and Ramswaroop Reddy Yellu and Faheem Ahmad Reegu and Mohammed Wasim Bhatt},
year = {2024},
journal = {SLAS Technology},
doi = {10.1016/j.slast.2024.100187},
url = {https://doi.org/10.1016/j.slast.2024.100187}
}RIS
TY - JOUR TI - Bio-inspired EEG signal computing using machine learning and fuzzy theory for decision making in future-oriented brain-controlled vehicles AU - Haewon Byeon AU - Aadam Quraishi AU - Mohammed I. Khalaf AU - Sunil MP AU - Ihtiram Raza Khan AU - Ashit Kumar Dutta AU - Rakeshnag Dasari AU - Ramswaroop Reddy Yellu AU - Faheem Ahmad Reegu AU - Mohammed Wasim Bhatt PY - 2024 JO - SLAS Technology DO - 10.1016/j.slast.2024.100187 UR - https://doi.org/10.1016/j.slast.2024.100187 ER -
APA
Byeon, H., Quraishi, A., Khalaf, M. I., MP, S., Khan, I. R., Dutta, A. K., Dasari, R., Yellu, R. R., Reegu, F. A., & Bhatt, M. W. (2024). Bio-inspired EEG signal computing using machine learning and fuzzy theory for decision making in future-oriented brain-controlled vehicles. SLAS Technology. https://doi.org/10.1016/j.slast.2024.100187
Source records
- crossref · retrieved 2026-09-26T00:36:09.715Z