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A self-adaptive frequency selection common spatial pattern and least squares twin support vector machine for motor imagery electroencephalography recognition
Research article (Biomedical Signal Processing and Control, 2017) · cited 50× · AI/ML
A self-adaptive frequency selection common spatial pattern and least squares twin support vector machine for motor imagery electroencephalography recognition
Summary
A self-adaptive frequency selection common spatial pattern and least squares twin support vector machine for motor imagery electroencephalography recognition is a scholarly article[1].
Key Facts
A self-adaptive frequency selection common spatial pattern and least squares twin support vector machine for motor imagery electroencephalography recognition's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A self-adaptive frequency selection common spatial pattern and least squares twin support vector machine for motor imagery electroencephalography recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-self-adaptive-frequency-selection-common-spatial-pattern-and-least-squares-twin-support-vector-machine-for-motor-image
MLA“A self-adaptive frequency selection common spatial pattern and least squares twin support vector machine for motor imagery electroencephalography recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-self-adaptive-frequency-selection-common-spatial-pattern-and-least-squares-twin-support-vector-machine-for-motor-image.
BibTeX@misc{4ortxyz_a-self-adaptive-frequency-selection-common-spatial-pattern-and-least-squares-twin-support-vector-machine-for-motor-image_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A self-adaptive frequency selection common spatial pattern and least squares twin support vector machine for motor imagery electroencephalography recognition}}, year = {2026}, url = {https://4ort.xyz/entity/a-self-adaptive-frequency-selection-common-spatial-pattern-and-least-squares-twin-support-vector-machine-for-motor-image}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A self-adaptive frequency selection common spatial pattern and least squares twin support vector machine for motor imagery electroencephalography recognition — https://4ort.xyz/entity/a-self-adaptive-frequency-selection-common-spatial-pattern-and-least-squares-twin-support-vector-machine-for-motor-image (retrieved 2026-05-24)
