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Elsayed A. Sharara
Elsayed A. Sharara
Verified email at tokushima-u.ac.jp
Title
Cited by
Cited by
Year
Prediction of the VDT Worker's Headache Using Convolutional Neural Network with Class Activation Mapping
EA Sharara, A Tsuji, S Karungaru, K Terada
IEEJ Transactions on Electrical and Electronic Engineering 15 (11), 1691-1698, 2020
12020
A COVID‐19 Visual Diagnosis Model Based on Deep Learning and GradCAM
OS Hemied, MS Gadelrab, EA Sharara, THA Soliman, A Tsuji, K Terada
IEEJ Transactions on Electrical and Electronic Engineering 17 (7), 1038-1047, 2022
2022
Classification of hand over face gestures using deep learning
AS El Sayed, A Tsuji, K Terada
Fourteenth International Conference on Quality Control by Artificial Vision …, 2019
2019
Drowsiness Detection by Facial Features and Hand Gestures Using Deep learning
ATKT Elsayed A. Sharara
The International Council on Electrical Engineering Conference 2019(ICEE2019 …, 2019
2019
Advanced Prevention for "KAROSHI" using Artificial Intelligence
ATKT Elsayed A.Sharara
Nature's 150th Anniversary Symposium, Tokyo, 2019
2019
Recognition of Fatigue Sings using Artificial Intelligence
ATKT Elsayed A. sharara
the 1st Scinetific Conference Advanced and New Approaches in Physical Therapy, 2018
2018
Recognition of Fatigue Signs for VDT Workers Using MATLAB
ATKT Elsayed A. Sharara
MATLAB EXPO 2018 Japan, 2018
2018
Visual Fatigue Recognition Using Facial Features and Hand Poses for VDT Workers
ESAS A. Tsuji, K. Terada
24th International Conference on Electrical Engineering, 2018
2018
Burnout Recognition for Call Center Agents by Using Skin Color Detection with Hand Poses
ESAS A. Tsuji, K. Terada
International Journal of Computer, Electrical, Automation, Control and …, 2017
2017
Upper Back Pain Detection Algorithm by Monitoring VDT Workers Pose and Eyes
ESAS A. Tsuji, K. Terada
International Workshop on Frontiers of Computer Vision, 2017
2017
A Comparison of Viola-Jones Object Detector and Skin-color Detection for Observing VDT Worker Fatigue
ESAS A. Tsuji, K. Terada
平成28年度電気関係学会四国支部連合大会, 2016
2016
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