Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ruhush Shoalihin"'
Autor:
Muhammad Yazid, Fahmi Fahmi, Erwin Sutanto, Wervyan Shalannanda, Ruhush Shoalihin, Gwo-Jiun Horng, Aripriharta
Publikováno v:
IEEE Access, Vol 9, Pp 150252-150267 (2021)
This paper proposed a simple but highly accurate feature extraction method for epilepsy detection from electroencephalogram (EEG) signals. Based on the combination of Discrete Wavelet Transform (DWT) and the newly proposed features Local Binary Patte
Externí odkaz:
https://doaj.org/article/3bd9e2edacd446a88124e798f98013ac
Autor:
Erwin Sutanto, Muhammad Yazid, Gwo-Jiun Horng, Ruhush Shoalihin, Wervyan Shalannanda, Fahmi Fahmi, Aripriharta
Publikováno v:
IEEE Access, Vol 9, Pp 150252-150267 (2021)
This paper proposed a simple but highly accurate feature extraction method for epilepsy detection from electroencephalogram (EEG) signals. Based on the combination of Discrete Wavelet Transform (DWT) and the newly proposed features Local Binary Patte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9554adbbdcea3cdc5112eb18cd2dc020
https://doi.org/10.1109/access.2021.3126065
https://doi.org/10.1109/access.2021.3126065
Autor:
Ruhush Shoalihin, Erdefi Rakun
Publikováno v:
2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS).
Mel Frequency Cepstral Coefficients has been regarded as the standard method of feature extraction for Automatic Speech Recognition (ASR) systems for the last few years. Its performance may be affected by multiple variables, such as the number of fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::433068c8d3a849c054dd5116b96bf9fa
https://doi.org/10.1109/icimcis51567.2020.9354290
https://doi.org/10.1109/icimcis51567.2020.9354290