Adaptive neuro-fuzzy based hybrid classification model for emotion recognition from EEG signals
Emotion recognition using physiological signals has gained significant attention in recent
years due to its potential applications in various domains, such as healthcare and …
years due to its potential applications in various domains, such as healthcare and …
Emotion Decoding: An Extensive Examination of Electroencephalogram Signals Using Explainable Machine Learning
A Nag, H Mondal, SRR Kabir, MR Islam… - … and Information & …, 2024 - ieeexplore.ieee.org
Emotion plays a substantial impact on an individual's mental processes and social
interactions. It functions as a connection between an individual's emotions and their …
interactions. It functions as a connection between an individual's emotions and their …
Hybrid Classification Model for Emotion Prediction from EEG Signals: A Comparative Study
This paper introduces a novel hybrid algorithm for emotion classification based on
electroencephalogram (EEG) signals. The proposed hybrid model consists of two layers: the …
electroencephalogram (EEG) signals. The proposed hybrid model consists of two layers: the …
Emotion Classification Using Optimized Features and Ensemble Learning Techniques for EEG Dataset
SD Bharkavi, S Kavitha, M Harini… - 2023 International …, 2023 - ieeexplore.ieee.org
Emotion recognition from electroencephalogram (EEG) signals is one of the important real
time applications in Brain-Computer Interface (BCI). The proposed research addresses the …
time applications in Brain-Computer Interface (BCI). The proposed research addresses the …
[PDF][PDF] Predicting Vehicle Fuel Efficiency: A Comparative Analysis of Machine Learning Models on the Auto MPG Dataset
A Doruk, MA Bayram - 2023 - sciencenotes.aintelia.com
This study explores the application of various machine learning models to predict vehicle
fuel consumption using the Auto MPG dataset. It examines the effectiveness of algorithms …
fuel consumption using the Auto MPG dataset. It examines the effectiveness of algorithms …
[PDF][PDF] Enhancing Bank Marketing Strategies: The Impact of Feature Reduction Techniques on Machine Learning Model Performance
Z Özer - 2023 - researchgate.net
This research investigates the application of machine learning models in the banking sector,
specifically focusing on the classification of bank marketing datasets. We explore the use of …
specifically focusing on the classification of bank marketing datasets. We explore the use of …