Aﬀective state recognition through analysis of electroencephalogram signals by using extreme gradient boosting

Aﬀective state recognition through analysis of electroencephalogram signals by using extreme gradient boosting

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Podrobná bibliografie
Hlavní autoři:	khan, Md. Sakib, Salsabil, Nishal, Amir, Rayeed, Khandaker, Moumita
Další autoři:	Alam, Golam Rabiul
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2021
Témata:	Aﬀective State recognition Emotion EEG Statistics FFT DCT Poincare Hjorth Parameters SVM XGBoost ID 17101191 ID 18301286 ID 17101428 ID 17101065
On-line přístup:	http://hdl.handle.net/10361/15409

Podobné jednotky

Dynamic spam detection system and most relevant features identiﬁcation using random weight network
Autor: Zaman, Syed Mahbubuz, a další
Vydáno: (2021)

Interior design drawings - coordination plan (Architectural Consultant Drawings)
Autor: WOHA Designs PTE LTD
Vydáno: (2023)

Do Elections Always Motivate Incumbents? : Experimentation vs. Career Concerns /
Autor: Lockwood, Ben
Vydáno: (2003)

SWIFT and RTGS operations of Southeast Bank Limited
Autor: Biswas, Mehrab Hossain, a další
Vydáno: (2024)

Analyzing CV/resume using natural language processing and machine learning
Autor: Reza, Md. Tanzim, a další
Vydáno: (2018)

A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification
Autor: Kabir, Solaiman, a další
Vydáno: (2021)

Visualization of security vulnerabilities through intrusion detection system
Autor: Ahmed, Ibrar, a další
Vydáno: (2010)

Malicious data classification in packet data network through hybrid meta deep learning
Autor: Tapu, Sakib Uddin, a další
Vydáno: (2023)

Academic document verification using SSI and blockchain technology
Autor: Huda, Md. Isa Sayek
Vydáno: (2024)

Emotion recognition using EEG signal and deep learning approach
Autor: Islam, Sayedi Hassan Bin, a další
Vydáno: (2019)

Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach
Autor: Esha, Ishraq Ahmed, a další
Vydáno: (2023)

Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
Autor: Fiha, Yeamin Jahan, a další
Vydáno: (2022)

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

IoT based brain-wave assistive system for paralyzed individuals
Autor: Monowara, Syeda Maliha, a další
Vydáno: (2021)

Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
Autor: Rayhan, Mohammad, a další
Vydáno: (2020)

Emotion recognition by exploiting temporal resolution of EEG signals using transformation and learning methods
Autor: Uddin, Md.Tousif, a další
Vydáno: (2021)

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

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

Mood disorders across the life span /
Vydáno: (1996)

Analysis of physicochemical parameters and microbial status in Gulshan lake water
Autor: Afsar, Ashif
Vydáno: (2014)

Prediction and detection in change of cognitive load for VIP’s by a machine learning approach
Autor: Rahman, Fahim, a další
Vydáno: (2021)

Effects of Allium sativum extract in arsenic induced toxicity in Swiss albino mice
Autor: Adhara, Rusafa Antashin
Vydáno: (2020)

Complete business statistics /
Autor: Aczel, Amir D.
Vydáno: (2005)

Prediction on large scale data using extreme gradient boosting
Autor: Sawon, Md.Tariq Hasan, a další
Vydáno: (2016)

Segmentation free Bangla OCR using HMM: Training and recognition
Autor: Hasnat, Md. Abul, a další
Vydáno: (2010)

Experiencing shame: An affective reading of the sexual and reproductive health and rights classroom in Bangladesh
Autor: Khan, Saad Adnan, a další
Vydáno: (2022)

A passion for teaching /
Autor: Day, Christopher, ACP
Vydáno: (2004)

The Affective domain : a resource book for media specialists.
Vydáno: (1970)

A multimodal approach of sentiment analysis to predict customer emotions towards a product
Autor: Islam, Shadman, a další
Vydáno: (2020)

Parameter theory and linguistic change

A study on hematological parameters of tuberculosis patients in Bangladesh
Autor: Monirozzaman, Mohammad
Vydáno: (2019)

Factor analysis of ad liking and prediction of purchase intent through emotionomics
Autor: Toma, Syeda Tanzina Farhin, a další
Vydáno: (2020)

Genetic studies in affective disorders : overview of basic methods, current directions, and critical research issues /
Vydáno: (1994)

Design and VLSI implementation of high performance face recognition system
Autor: Dewan, Priyanka Das, a další
Vydáno: (2013)

Consumer behaviour analysis using EEG signals for Neuromarketing Application
Autor: Amin, Chowdhury Rabith, a další
Vydáno: (2020)

Introductory statistics /
Autor: Wonnacott, Thomas H., 1935-
Vydáno: (1990)

Basic statistics for the health sciences /
Autor: Kuzma, Jan W.
Vydáno: (2001)

Basic business statistics : concepts and applications /
Autor: Berenson, Mark L.
Vydáno: (2009)

Elementary business statistics : the modern approach /
Autor: Freund, John E.
Vydáno: (1988)

An introduction to model-based survey sampling with applications
Autor: Chambers, R. L.