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Exploring Feature Selection and Classification Techniques to Improve the Performance of an Electroencephalography-Based Motor Imagery Brain-Computer Interface System.

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Title: Exploring Feature Selection and Classification Techniques to Improve the Performance of an Electroencephalography-Based Motor Imagery Brain-Computer Interface System.
Authors: Kabir MH; Department of Computer Science and Engineering, Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University, Jamalpur 2012, Bangladesh., Akhtar NI; Department of Computer Science and Engineering, Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University, Jamalpur 2012, Bangladesh., Tasnim N; Department of Computer Science and Engineering, Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University, Jamalpur 2012, Bangladesh., Miah ASM; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan., Lee HS; Department of Applied Software Engineering, Dongeui University, Busanjin-Gu, Busan 47340, Republic of Korea., Jang SW; Department of Computer Engineering, Dongeui University, Busan 47340, Republic of Korea., Shin J; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Aug 01; Vol. 24 (15). Date of Electronic Publication: 2024 Aug 01.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Exploring Feature Selection and Classification Techniques to Improve the Performance of an Electroencephalography-Based Motor Imagery Brain-Computer Interface System.
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  Data: <searchLink fieldCode="AU" term="%22Kabir+MH%22">Kabir MH</searchLink>; Department of Computer Science and Engineering, Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University, Jamalpur 2012, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Akhtar+NI%22">Akhtar NI</searchLink>; Department of Computer Science and Engineering, Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University, Jamalpur 2012, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Tasnim+N%22">Tasnim N</searchLink>; Department of Computer Science and Engineering, Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University, Jamalpur 2012, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Miah+ASM%22">Miah ASM</searchLink>; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan.<br /><searchLink fieldCode="AU" term="%22Lee+HS%22">Lee HS</searchLink>; Department of Applied Software Engineering, Dongeui University, Busanjin-Gu, Busan 47340, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jang+SW%22">Jang SW</searchLink>; Department of Computer Engineering, Dongeui University, Busan 47340, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Shin+J%22">Shin J</searchLink>; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan.
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  Data: <searchLink fieldCode="JN" term="%22101204366%22">Sensors (Basel, Switzerland)</searchLink> [Sensors (Basel)] 2024 Aug 01; Vol. 24 (15). <i>Date of Electronic Publication: </i>2024 Aug 01.
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