Alcoholic Brain State Identification from Brain Signals Using Support Vector Machine-Based Algorithm

Full text for this resource is not available from the Research Repository.

Siuly, Siuly ORCID: 0000-0003-2491-0546, Kabir, E, Wang, Hua ORCID: 0000-0002-8465-0996, Whittaker, Frank ORCID: 0000-0002-3728-0291 and Kuang, H (2019) Alcoholic Brain State Identification from Brain Signals Using Support Vector Machine-Based Algorithm. In: International Joint Conference on Computational Intelligence (IJCCI 2018), 14 Dec 2018 - 15 Dec 2018, Dhaka, Bangladesh.

Dimensions Badge

Altmetric Badge

Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/39169
DOI https://doi.org/10.1007/978-981-13-7564-4_22
Official URL https://link.springer.com/chapter/10.1007/978-981-...
ISBN 9789811375637 (print) 9789811375644 (online)
Subjects Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords alcoholic brain state; support vector machine; electroencephalogram; brain signal; polynomial kernel; alcoholism; algorithm
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login