|
|||||
|
|
Multi-objective flower pollination algorithm: a new technique for EEG signal denoising |
|
| Authors: | Alyasseri Zaid Abdi Alkareem Khader Ahamad Tajudin Al-Betar Mohammed Azmi Yang Xin-She Mohammed Mazin Abed Abdulkareem Karrar Hameed Kadry Seifedine Razzak Imran |
| Affiliation: | 1.Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia ;2.ECE Department-Faculty of Engineering, University of Kufa, P.O. Box 21, Najaf, Iraq ;3.School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia ;4.Artificial Intelligence Research Center (AIRC), College of Engineering and Information Technology, Ajman University, Ajman, UAE ;5.Department of Information Technology, Al-Huson University College, Al-Balqa Applied University, P.O. Box 50, Al-Huson, Irbid, Jordan ;6.School of Science and Technology, Middlesex University, London, NW44BT, UK ;7.College of Computer Science and Information Technology, University of Anbar, Anbar, 31001, Iraq ;8.College of Agriculture, Al-Muthanna University, Samawah, 66001, Iraq ;9.Department of Applied Data Science, Norrof University College, 4608, Kristiansand, Norway ;10.School of Information Technology, Deakin University, Geelong, Australia ; |
| Abstract: | Neural Computing and Applications - The electroencephalogram (EEG) signal denoising problem has been considered a challenging task because of several artifact noises, such as eye blinking, eye... |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |