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

Accesso online

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

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