Emotion analysis using machine learning model and deep learning model on DEAP dataset

Emotion analysis using machine learning model and deep learning model on DEAP dataset

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

Manylion Llyfryddiaeth
Prif Awduron:	Hasan, Anita, Abrar, Fahim, Sabur, Eshaan Tanzim, Muntasir, Iftehaj, Na sha, Sumaia Sadia
Awduron Eraill:	Mostakim, Moin
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	Brac University 2022
Pynciau:	Deap dataset EEG Prediction Emotionomics Machine learning
Mynediad Ar-lein:	http://hdl.handle.net/10361/16788

Eitemau Tebyg

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A comparative performance analysis of accident anticipation with deep learning extractors
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Emotion recognition using EEG signal and deep learning approach
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Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model
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Aspect-based sentiment analysis using SemEval and Amazon datasets
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Emotion recognition by exploiting temporal resolution of EEG signals using transformation and learning methods
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Cyhoeddwyd: (2021)

Prediction of Epileptic Seizure onset based on EEG signals and learning approaches
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Exploring cognitive load and emotional states for the visually impaired
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COVID-19 related fake news detection model
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Cyhoeddwyd: (2021)

Prediction of success factors of FMCG commercials using signal processing and machine learning algorithms
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Cyhoeddwyd: (2021)

Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
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Cyhoeddwyd: (2019)

Detection and prediction of epileptic seizure using different machine learning classifiers
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Cyhoeddwyd: (2023)

Detecting fake news on Covid-19 using machine learning algorithms
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Cyhoeddwyd: (2023)

Consumer behaviour analysis using EEG signals for Neuromarketing Application
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Cyhoeddwyd: (2020)

Emotion detection using EEG signals
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Cyhoeddwyd: (2021)

Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach
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Cyhoeddwyd: (2023)

Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning
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Cyhoeddwyd: (2021)

A deep learning approach towards soft biometrics attributes prediction using CNN
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Virtual teaching assistant for undergraduate students using natural language processing & deep learning
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Enhancing object clarity in single channel night vision images using deep reinforcement learning
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Social and Emotional Learning
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Investigating the use of deep learning for textual entailment in BRACU-NLI dataset
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Cyhoeddwyd: (2024)

Predicting peak performance of a cricket player using machine learning and data analytics
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Comprehensive fingerprint recognition utilizing one shot learning with Siamese Network
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Application of machine learning in attentiveness detection from EEG signal
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Cyhoeddwyd: (2023)

Identification of fake news using machine learning in distributed system
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A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
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Cognitive efficiency in robot control by Emotiv EPOC
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Epileptic seizure prediction using bandpass filtering and convolutional neural network
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Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification
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Learning in graphical models /
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Prediction and detection in change of cognitive load for VIP’s by a machine learning approach
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Effectiveness of data mining in predicting heart diseases
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Cyhoeddwyd: (2018)

An efficient facial expression recognition method using mean And standard deviation
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Cyhoeddwyd: (2017)

Comparison of deep transfer learning models for cancer diagnosis
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Cyhoeddwyd: (2023)

Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
gan: Amiz, Asef Hassan, et al.
Cyhoeddwyd: (2021)

Detecting navigation challenges for the visually impaired with mobile monitoring of biosignal
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Cyhoeddwyd: (2021)

IoT based brain-wave assistive system for paralyzed individuals
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