Predicting brain age from EEG signals using machine learning and neural network

Predicting brain age from EEG signals using machine learning and neural network

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliografiske detaljer
Main Authors:	Pratanu, Abul Mushfique Muslah, Farhad, Fuad Ibne Jashim, Afnan, Aysha, Mim, Nusrat Jahan, Rahman, Farhin
Andre forfattere:	Chakrabarty, Amitabha
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	EEG Brain age K-NN RF Decision tree MLP Naive bayes Raspberry Pi Machine learning Neural networks (Computer science)
Online adgang:	http://hdl.handle.net/10361/18092

Lignende værker

Identification of childhood leukemia using deep learning
af: Tultul, Farana Naz
Udgivet: (2018)

Espionage: a voice guided surveillance robot with DTMF control and web based control
af: Rashid, Md. Tahmid, et al.
Udgivet: (2016)

Design and development of doctor’s dictation kit using raspberry PI
af: Haque, Kazi Injamamul, et al.
Udgivet: (2017)

An approach to detect epileptic seizure using XAI and machine learning
af: Bijoy, Emam Hasan, et al.
Udgivet: (2022)

Development of electronic voting machine with the inclusion of near field communication ID cards, biometric fingerprint sensor and POS printer
af: Anis, Arafa Mohd., et al.
Udgivet: (2015)

Farm automation system with IoT application
af: Hasan, Mahmudul, et al.
Udgivet: (2018)

A feature selection approach to determine obesity using machine learning method
af: Antor, Shahidul Alam, et al.
Udgivet: (2021)

Application of machine learning in attentiveness detection from EEG signal
af: Ridi, Sadia Sobhana, et al.
Udgivet: (2023)

EEG signals analysis for motor imagery brain computer interface
af: Rahman, La z Maruf, et al.
Udgivet: (2019)

Predicting subject area interest of a student using naive bayes
af: Hossain, Shakib
Udgivet: (2016)

Detection of mind wandering using EEG signals
af: Tasika, Nadia Jebin, et al.
Udgivet: (2020)

Analysis on IOT Botnet and DDOS attack
af: Nur, Md. Walid Bin
Udgivet: (2018)

Design and development of smart low-cost home systems using Raspberry Pi
af: Rafat, Nafis
Udgivet: (2018)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
af: Sarkar, Ripa, et al.
Udgivet: (2024)

Emotion detection using EEG signals
af: Hossain, Mohammad Adnan
Udgivet: (2021)

Online smart security with remote monitoring facilities
af: Nesha, Zinnatun, et al.
Udgivet: (2017)

Analysis on the effects of wallstreetbets on the stock market
af: Hossain, Abir, et al.
Udgivet: (2022)

Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach
af: Esha, Ishraq Ahmed, et al.
Udgivet: (2023)

Intelligent intrusion prevention system for households based on system-on-chip computer
af: Rashid, Md Tahmid, et al.
Udgivet: (2018)

Prediction of coronary heart diseases using supervised machine learning algorithms
af: Salam, Nazia Binte, et al.
Udgivet: (2023)

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

Text classification using machine learning algorithms
af: Hasnat, Fahim, et al.
Udgivet: (2018)

Brain hemorrhage detection using hybrid machine learning algorithm
af: Iqbal, Khondoker Nazia, et al.
Udgivet: (2022)

Consumer behaviour analysis using EEG signals for Neuromarketing Application
af: Amin, Chowdhury Rabith, et al.
Udgivet: (2020)

Recognizing sentimental emotions in text by using Machine Learning
af: Bushra, Tabassum Khan, et al.
Udgivet: (2023)

Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis
af: Shourin, Bushra, et al.
Udgivet: (2018)

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
af: Al Amin, Istiak, et al.
Udgivet: (2022)

Prediction of Epileptic Seizure onset based on EEG signals and learning approaches
af: Nazim, Tausif, et al.
Udgivet: (2021)

An effective real-time flood disaster management with automated GSM warning system
af: Faruk, Omar, et al.
Udgivet: (2024)

The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
af: Mahmud, Mahmudul Hasan
Udgivet: (2021)

An effective machine learning approach for sentiment analysis of restaurant reviews
af: Karim, Rabita
Udgivet: (2018)

Exploring cognitive load and emotional states for the visually impaired
af: Afroz, Sharmin, et al.
Udgivet: (2019)

Parking data analysis
af: Ahamed, Kasfi, et al.
Udgivet: (2023)

Programming a self-driving car
af: Hasdak, Onishim
Udgivet: (2015)

Machine learning-based approach on predicting online shopping addiction using EEG signals
af: Nawer, Nafisa, et al.
Udgivet: (2023)

Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
af: Karim, Rezwanul, et al.
Udgivet: (2019)

Affordable voice assistive intelligent glass for visually impaired people in perspective of Bangladesh
af: Peyal, Md. Mahmudul Kabir, et al.
Udgivet: (2021)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
af: Mahmud, Booshra Nazifa, et al.
Udgivet: (2019)

A machine learning approach to predict young voter enthusiasm based on non-political factors
af: Rahman, Md. Nowroz Junaed, et al.
Udgivet: (2021)

Applying tDCS over the dominant Hemisphere to observe event-related Desynchronization
af: Khan, Akif Ahmed, et al.
Udgivet: (2020)