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.

Podrobná bibliografie
Hlavní autoři:	Nawer, Nafisa, Jahan, Nazia, Fuwad, Md. Mubtasim, Bhuiyan, Mehedi Hasan, Kabir, Imtiaz
Další autoři:	Chakrabarty, Amitabha
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2023
Témata:	Shopping addiction Machine learning Electroencephalography Support Vector machine Gated recurrent unit Decision tree Random forest Brain mapping Artificial intelligence > Engineering applications
On-line přístup:	http://hdl.handle.net/10361/21822

Podobné jednotky

Detection of mind wandering using EEG signals
Autor: Tasika, Nadia Jebin, a další
Vydáno: (2020)

Credit card fraud detection using machine learning techniques
Autor: Kabir, Tasmia, a další
Vydáno: (2021)

Effectiveness of data mining in predicting heart diseases
Autor: Afrin, Shahria, a další
Vydáno: (2018)

A supervised machine learning approach to predict vulnerability to drug addiction
Autor: Faisal, Fahim, a další
Vydáno: (2020)

A counseling system to predict the study path for freshmen
Autor: Usha, Rowshni Tasneem, a další
Vydáno: (2019)

Healing Oasis: De-addiction center for drug addicts
Autor: Farnaz, Afrida
Vydáno: (2023)

Predicting brain age from EEG signals using machine learning and neural network
Autor: Pratanu, Abul Mushfique Muslah, a další
Vydáno: (2023)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
Autor: Rahee, Arnob, a další
Vydáno: (2021)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
Autor: Shihab, Ibne Farabi, a další
Vydáno: (2018)

Heart disease prediction system
Autor: Amit, Tayab Al Azad, a další
Vydáno: (2022)

A machine learning approach to predict young voter enthusiasm based on non-political factors
Autor: Rahman, Md. Nowroz Junaed, a další
Vydáno: (2021)

Predicting stock market movement using sentiment analysis of twitter feed
Autor: Chakraborty, Pranjal, a další
Vydáno: (2017)

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
Autor: Saad-Ul-Kabir, Syed, a další
Vydáno: (2021)

Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
Autor: Amiz, Asef Hassan, a další
Vydáno: (2021)

Cardiovascular disease prediction model using Machine Learning Algorithm
Autor: Arefin Mirdha, MD Shamsul
Vydáno: (2023)

Parking data analysis
Autor: Ahamed, Kasfi, a další
Vydáno: (2023)

A hybrid rumor detection model derived from a comparative study of supervised approaches
Autor: Aothoi, Mehzabin Sadat, a další
Vydáno: (2023)

Bang-lish sentiment classification using deep learning
Autor: Saleheen, Abrar, a další
Vydáno: (2023)

Smartphone addiction in children: How are parents responsible for it?
Autor: Hossen, Md Sohrab
Vydáno: (2023)

Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model
Autor: Islam, Md. Tahmidul, a další
Vydáno: (2023)

Performance analysis of machine learning classi ers for detecting PE malware
Autor: Azmee, ABM.Adnan, a další
Vydáno: (2020)

Amazon product reviews sentiment analysis using supervised learning algorithms
Autor: Hawladar, Mohibullah, a další
Vydáno: (2021)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
Autor: Mahmud, Booshra Nazifa, a další
Vydáno: (2019)

Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification
Autor: Tanvir, Farhan, a další
Vydáno: (2024)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
Autor: Tasnim, Anika, a další
Vydáno: (2022)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
Autor: Turjo, Aquib Abtahi, a další
Vydáno: (2021)

Emotion detection using EEG signals
Autor: Hossain, Mohammad Adnan
Vydáno: (2021)

A machine learning approach to predict movie box-office success
Autor: Quader, Nahid, a další
Vydáno: (2018)

Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
Autor: Hussain, Nadib, a další
Vydáno: (2018)

An introduction to support vector machines : and other kernel-based learning methods /
Autor: Cristianini, Nello
Vydáno: (2000)

Detecting online recruitment fraud by using machine learning
Autor: Ghosh, Gitanjali, a další
Vydáno: (2021)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
Autor: Farabe, Abdullah Al, a další
Vydáno: (2021)

Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
Autor: Ahmed, Sajjad
Vydáno: (2019)

Finding suitable locations for live campaigns using different machine learning techniques
Autor: Qudar, Mohiuddin Md. Abdul, a další
Vydáno: (2018)

Fighting depression: psychological approaches among Bangladeshi university students
Autor: Sen, Sanjib Kumar, a další
Vydáno: (2022)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
Autor: Ahmed, Md. Sabbir, a další
Vydáno: (2021)

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
Autor: Al Amin, Istiak, a další
Vydáno: (2022)

A machine learning approach to detect depression and anxiety using supervised learning
Autor: Ullas, Md Tahmidur Rahman, a další
Vydáno: (2019)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
Autor: Sarkar, Ripa, a další
Vydáno: (2024)

Machine learning for stress prediction
Autor: Salehin, Sherajus, a další
Vydáno: (2023)