Classification of Cognitive Ability from Multichannel EEG Signals Using Support Vector Machine

Nilima Salankar. Classification of Cognitive Ability from Multichannel EEG Signals Using Support Vector Machine. In Ajith Abraham, Ana Maria Madureira, Arturas Kaklauskas, Niketa Gandhi, Anu Bajaj, Azah Kamilah Muda, Dalia Kriksciuniene, João Carlos Ferreira, editors, Innovations in Bio-Inspired Computing and Applications - Proceedings of the 12th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2021) Held During December 16-18, 2021. Volume 419 of Lecture Notes in Networks and Systems, pages 391-401, Springer, 2021. [doi]

@inproceedings{Salankar21,
  title = {Classification of Cognitive Ability from Multichannel EEG Signals Using Support Vector Machine},
  author = {Nilima Salankar},
  year = {2021},
  doi = {10.1007/978-3-030-96299-9_38},
  url = {https://doi.org/10.1007/978-3-030-96299-9_38},
  researchr = {https://researchr.org/publication/Salankar21},
  cites = {0},
  citedby = {0},
  pages = {391-401},
  booktitle = {Innovations in Bio-Inspired Computing and Applications - Proceedings of the 12th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2021) Held During December 16-18, 2021},
  editor = {Ajith Abraham and Ana Maria Madureira and Arturas Kaklauskas and Niketa Gandhi and Anu Bajaj and Azah Kamilah Muda and Dalia Kriksciuniene and João Carlos Ferreira},
  volume = {419},
  series = {Lecture Notes in Networks and Systems},
  publisher = {Springer},
  isbn = {978-3-030-96299-9},
}