Machine learning-based approach on predicting online shopping addiction using EEG signals

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Detalhes bibliográficos
Principais autores:	Nawer, Nafisa, Jahan, Nazia, Fuwad, Md. Mubtasim, Bhuiyan, Mehedi Hasan, Kabir, Imtiaz
Outros Autores:	Chakrabarty, Amitabha
Formato:	Tese
Idioma:	English
Publicado em:	Brac University 2023
Assuntos:	Shopping addiction Machine learning Electroencephalography Support Vector machine Gated recurrent unit Decision tree Random forest Brain mapping Artificial intelligence > Engineering applications
Acesso em linha:	http://hdl.handle.net/10361/21822

http://hdl.handle.net/10361/21822

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