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.

Detaylı Bibliyografya
Asıl Yazarlar:	Nawer, Nafisa, Jahan, Nazia, Fuwad, Md. Mubtasim, Bhuiyan, Mehedi Hasan, Kabir, Imtiaz
Diğer Yazarlar:	Chakrabarty, Amitabha
Materyal Türü:	Tez
Dil:	English
Baskı/Yayın Bilgisi:	Brac University 2023
Konular:	Shopping addiction Machine learning Electroencephalography Support Vector machine Gated recurrent unit Decision tree Random forest Brain mapping Artificial intelligence > Engineering applications
Online Erişim:	http://hdl.handle.net/10361/21822

Benzer Materyaller

Detection of mind wandering using EEG signals
Yazar:: Tasika, Nadia Jebin, ve diğerleri
Baskı/Yayın Bilgisi: (2020)

Credit card fraud detection using machine learning techniques
Yazar:: Kabir, Tasmia, ve diğerleri
Baskı/Yayın Bilgisi: (2021)

Effectiveness of data mining in predicting heart diseases
Yazar:: Afrin, Shahria, ve diğerleri
Baskı/Yayın Bilgisi: (2018)

A supervised machine learning approach to predict vulnerability to drug addiction
Yazar:: Faisal, Fahim, ve diğerleri
Baskı/Yayın Bilgisi: (2020)

A counseling system to predict the study path for freshmen
Yazar:: Usha, Rowshni Tasneem, ve diğerleri
Baskı/Yayın Bilgisi: (2019)

Healing Oasis: De-addiction center for drug addicts
Yazar:: Farnaz, Afrida
Baskı/Yayın Bilgisi: (2023)

Predicting brain age from EEG signals using machine learning and neural network
Yazar:: Pratanu, Abul Mushfique Muslah, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
Yazar:: Rahee, Arnob, ve diğerleri
Baskı/Yayın Bilgisi: (2021)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
Yazar:: Shihab, Ibne Farabi, ve diğerleri
Baskı/Yayın Bilgisi: (2018)

Heart disease prediction system
Yazar:: Amit, Tayab Al Azad, ve diğerleri
Baskı/Yayın Bilgisi: (2022)

A machine learning approach to predict young voter enthusiasm based on non-political factors
Yazar:: Rahman, Md. Nowroz Junaed, ve diğerleri
Baskı/Yayın Bilgisi: (2021)

Predicting stock market movement using sentiment analysis of twitter feed
Yazar:: Chakraborty, Pranjal, ve diğerleri
Baskı/Yayın Bilgisi: (2017)

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
Yazar:: Saad-Ul-Kabir, Syed, ve diğerleri
Baskı/Yayın Bilgisi: (2021)

Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
Yazar:: Amiz, Asef Hassan, ve diğerleri
Baskı/Yayın Bilgisi: (2021)

Cardiovascular disease prediction model using Machine Learning Algorithm
Yazar:: Arefin Mirdha, MD Shamsul
Baskı/Yayın Bilgisi: (2023)

Parking data analysis
Yazar:: Ahamed, Kasfi, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

A hybrid rumor detection model derived from a comparative study of supervised approaches
Yazar:: Aothoi, Mehzabin Sadat, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

Bang-lish sentiment classification using deep learning
Yazar:: Saleheen, Abrar, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

Smartphone addiction in children: How are parents responsible for it?
Yazar:: Hossen, Md Sohrab
Baskı/Yayın Bilgisi: (2023)

Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model
Yazar:: Islam, Md. Tahmidul, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

Performance analysis of machine learning classi ers for detecting PE malware
Yazar:: Azmee, ABM.Adnan, ve diğerleri
Baskı/Yayın Bilgisi: (2020)

Amazon product reviews sentiment analysis using supervised learning algorithms
Yazar:: Hawladar, Mohibullah, ve diğerleri
Baskı/Yayın Bilgisi: (2021)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
Yazar:: Mahmud, Booshra Nazifa, ve diğerleri
Baskı/Yayın Bilgisi: (2019)

Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification
Yazar:: Tanvir, Farhan, ve diğerleri
Baskı/Yayın Bilgisi: (2024)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
Yazar:: Tasnim, Anika, ve diğerleri
Baskı/Yayın Bilgisi: (2022)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
Yazar:: Turjo, Aquib Abtahi, ve diğerleri
Baskı/Yayın Bilgisi: (2021)

Emotion detection using EEG signals
Yazar:: Hossain, Mohammad Adnan
Baskı/Yayın Bilgisi: (2021)

A machine learning approach to predict movie box-office success
Yazar:: Quader, Nahid, ve diğerleri
Baskı/Yayın Bilgisi: (2018)

Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
Yazar:: Hussain, Nadib, ve diğerleri
Baskı/Yayın Bilgisi: (2018)

An introduction to support vector machines : and other kernel-based learning methods /
Yazar:: Cristianini, Nello
Baskı/Yayın Bilgisi: (2000)

Detecting online recruitment fraud by using machine learning
Yazar:: Ghosh, Gitanjali, ve diğerleri
Baskı/Yayın Bilgisi: (2021)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
Yazar:: Farabe, Abdullah Al, ve diğerleri
Baskı/Yayın Bilgisi: (2021)

Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
Yazar:: Ahmed, Sajjad
Baskı/Yayın Bilgisi: (2019)

Finding suitable locations for live campaigns using different machine learning techniques
Yazar:: Qudar, Mohiuddin Md. Abdul, ve diğerleri
Baskı/Yayın Bilgisi: (2018)

Fighting depression: psychological approaches among Bangladeshi university students
Yazar:: Sen, Sanjib Kumar, ve diğerleri
Baskı/Yayın Bilgisi: (2022)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
Yazar:: Ahmed, Md. Sabbir, ve diğerleri
Baskı/Yayın Bilgisi: (2021)

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
Yazar:: Al Amin, Istiak, ve diğerleri
Baskı/Yayın Bilgisi: (2022)

A machine learning approach to detect depression and anxiety using supervised learning
Yazar:: Ullas, Md Tahmidur Rahman, ve diğerleri
Baskı/Yayın Bilgisi: (2019)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
Yazar:: Sarkar, Ripa, ve diğerleri
Baskı/Yayın Bilgisi: (2024)

Machine learning for stress prediction
Yazar:: Salehin, Sherajus, ve diğerleri
Baskı/Yayın Bilgisi: (2023)