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.

Bibliographic Details
Main Authors: Nawer, Nafisa, Jahan, Nazia, Fuwad, Md. Mubtasim, Bhuiyan, Mehedi Hasan, Kabir, Imtiaz
Other Authors: Chakrabarty, Amitabha
Format: Thesis
Language:English
Published: Brac University 2023
Subjects:
Shopping addiction
Machine learning
Electroencephalography
Support
Vector machine
Gated recurrent unit
Decision tree
Random forest
Brain mapping
Artificial intelligence > Engineering applications
Online Access:http://hdl.handle.net/10361/21822
Description
Summary:This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

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