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  • Nidal Kamel, PhD.
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Corrigendum: Machine learning for the detection of social anxiety disorder using e ective connectivity and graph theory measures

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Corrigendum_ Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures.pdf (69.26Kb)
Date
2023-07-24
Author
Al-Ezzi, Abdulhakim
Kamel, Nidal
Al-Shargabi, Amal A.
Al-Shargie, Fares
Al-Shargabi, Alaa
Yahya, Norashikin
Al-Hiyali, Mohammed Isam
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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.
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https://vinspace.edu.vn/handle/VIN/407
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