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A Comparative Study of Traditional and Transformer-based De..:

, In: 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA),

Masaoodi, Ali A. ; Hassan Abbas, Hawraa ; Shahadi, Haider Ismael - p. 624-630 , 2023

Link: https://doi.org/10.1109/ICAMIMIA60881.2023.10427563

RT 
T1 <cTitle>2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA)</cTitle>: T1 <Title>A Comparative Study of Traditional and Transformer-based Deep Learning Models for Multi-Class Eye Movement Recognition Using Collected Dataset</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10427563&Exemplar=1&LAN=DE
				
A1 Masaoodi, Ali A.
A1 Hassan Abbas, Hawraa
A1 Shahadi, Haider Ismael
YR 2023
SN 2832-8353
K1 Deep learning
K1 Adaptation models
K1 Tracking
K1 Computational modeling
K1 Memory management
K1 Interference
K1 Transformers
K1 Physiology
K1 Iris recognition
K1 Context modeling
K1 Eye Movement Recognition
K1 Remote Eye Tracking
K1 Eye Gesture Recognition
K1 Real-Time Eye Movement Recognition
K1 Eye Datasets
K1 Human-Computer Interaction (HCI)
K1 Eye Tracking Algorithms
K1 Pupil Localization
K1 Eye State Classification
K1 Multi-Class Classification
K1 Deep Learning Benchmarking
K1 Vision Transformer (ViT)
K1 Machine Learning
K1 Image Preprocessing
K1 Cross-Validation
SP 624
OP 630
LK http://dx.doi.org/https://doi.org/10.1109/ICAMIMIA60881.2023.10427563
DO https://doi.org/10.1109/ICAMIMIA60881.2023.10427563
SF ELIB - SuUB Bremen

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