Corrigendum: Machine learning for the detection of social anxiety disorder using e ective connectivity and graph theory measures
dc.contributor.author | Al-Ezzi, Abdulhakim | |
dc.contributor.author | Kamel, Nidal | |
dc.contributor.author | Al-Shargabi, Amal A. | |
dc.contributor.author | Al-Shargie, Fares | |
dc.contributor.author | Al-Shargabi, Alaa | |
dc.contributor.author | Yahya, Norashikin | |
dc.contributor.author | Al-Hiyali, Mohammed Isam | |
dc.date.accessioned | 2024-10-24T18:18:18Z | |
dc.date.available | 2024-10-24T18:18:18Z | |
dc.date.issued | 2023-07-24 | |
dc.identifier.uri | https://vinspace.edu.vn/handle/VIN/407 | |
dc.description.abstract | Here’s the corrected funding and acknowledgment statements as requested: Funding This research was supported by the Ministry of Education, Malaysia under the Higher Institute Center of Excellence (HiCOE) scheme awarded to the Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS. Acknowledgments Researchers would like to thank the Deanship of Scientific Research, Qassim University for funding the publication of this project. Researchers also would like to thank the Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS for their support by providing EEG data. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated. | en_US |
dc.language.iso | en | en_US |
dc.subject | EEG | en_US |
dc.subject | graph theory analysis | en_US |
dc.subject | social anxiety disorders | en_US |
dc.subject | machine learning | en_US |
dc.subject | effective connectivity | en_US |
dc.subject | partial directed coherence | en_US |
dc.subject | support vector machine | en_US |
dc.subject | event related potential | en_US |
dc.title | Corrigendum: Machine learning for the detection of social anxiety disorder using e ective connectivity and graph theory measures | en_US |
dc.type | Article | en_US |
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Nidal Kamel, PhD. [3]
College of Engineering and Computer Science; Associate Professor, Electrical Engineering program