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

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.

Dettagli Bibliografici
Autori principali:	Nawer, Nafisa, Jahan, Nazia, Fuwad, Md. Mubtasim, Bhuiyan, Mehedi Hasan, Kabir, Imtiaz
Altri autori:	Chakrabarty, Amitabha
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2023
Soggetti:	Shopping addiction Machine learning Electroencephalography Support Vector machine Gated recurrent unit Decision tree Random forest Brain mapping Artificial intelligence > Engineering applications
Accesso online:	http://hdl.handle.net/10361/21822

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