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Classification of EEG signals for epileptic seizures detection and eye states identification using Jacobi polynomial transforms-based measures of complexity and least-square support vector machine
Research article (Informatics in Medicine Unlocked, 2021) · cited 30× · AI/ML
Classification of EEG signals for epileptic seizures detection and eye states identification using Jacobi polynomial transforms-based measures of complexity and least-square support vector machine
Summary
Classification of EEG signals for epileptic seizures detection and eye states identification using Jacobi polynomial transforms-based measures of complexity and least-square support vector machine is a scholarly article[1].
Key Facts
Classification of EEG signals for epileptic seizures detection and eye states identification using Jacobi polynomial transforms-based measures of complexity and least-square support vector machine's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Classification of EEG signals for epileptic seizures detection and eye states identification using Jacobi polynomial transforms-based measures of complexity and least-square support vector machine. Retrieved May 24, 2026, from https://4ort.xyz/entity/classification-of-eeg-signals-for-epileptic-seizures-detection-and-eye-states-identification-using-jacobi-polynomial-tra
MLA“Classification of EEG signals for epileptic seizures detection and eye states identification using Jacobi polynomial transforms-based measures of complexity and least-square support vector machine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/classification-of-eeg-signals-for-epileptic-seizures-detection-and-eye-states-identification-using-jacobi-polynomial-tra.
BibTeX@misc{4ortxyz_classification-of-eeg-signals-for-epileptic-seizures-detection-and-eye-states-identification-using-jacobi-polynomial-tra_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Classification of EEG signals for epileptic seizures detection and eye states identification using Jacobi polynomial transforms-based measures of complexity and least-square support vector machine}}, year = {2026}, url = {https://4ort.xyz/entity/classification-of-eeg-signals-for-epileptic-seizures-detection-and-eye-states-identification-using-jacobi-polynomial-tra}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Classification of EEG signals for epileptic seizures detection and eye states identification using Jacobi polynomial transforms-based measures of complexity and least-square support vector machine — https://4ort.xyz/entity/classification-of-eeg-signals-for-epileptic-seizures-detection-and-eye-states-identification-using-jacobi-polynomial-tra (retrieved 2026-05-24)
