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Comprehensive Analysis on Feature Selection, Machine Learni..:

, In: Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering,

Ferdous, Talukdar Raian ; Tushar, Md Abdul Kader ; Rafi, Rifath Hasan... - p. 147-153 , 2023

Link: https://dl.acm.org/doi/10.1145/3637732.3637791

RT 
T1 <cTitle>Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering</cTitle>: T1 <Title>Comprehensive Analysis on Feature Selection, Machine Learning and Deep Learning Algorithms to Detect Driver Drowsiness-An EEG Study</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3637791&Exemplar=1&LAN=DE
				
A1 Ferdous, Talukdar Raian
A1 Tushar, Md Abdul Kader
A1 Rafi, Rifath Hasan
A1 Asif, Nazmus Salehin
A1 Palash, Torikul Islam
A1 Arman, Md Adil
A1 Saha, Debasish Kumar
A1 Islam, Muhammad Muinul
PB ACM
YR 2023
K1 Deep Learning
K1 Drowsiness detection
K1 Feature Engineering
K1 Machine Learning
K1 Computing methodologies
K1 Applied computing
K1 Machine learning
K1 Life and medical sciences
K1 Learning paradigms
K1 Machine learning approaches
K1 Machine learning algorithms
K1 Supervised learning
K1 Neural networks
K1 Feature selection
SP 147
OP 153
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3637732.3637791
DO https://dl.acm.org/doi/10.1145/3637732.3637791
SF ELIB - SuUB Bremen

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