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Ahmed J. Obaid and Hassanain K. Alrammahi
Recognizing facial expressions plays a crucial role in various multimedia applications, such as human?computer interactions and the functioning of autonomous vehicles. This paper introduces a hybrid feature extraction network model to bolster the discrim...
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Or Lavi, Oren Wacht, Idan Menashe, Eli Jaffe and Yuval Bitan
Background. Arrival times at the scene and provision of initial emergency treatment have importance in pre-hospital care settings. Donning proper protective equipment by medical personnel, as was needed during the COVID-19 pandemic, prolongs the time bet...
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Josh Medrano, Joshua Jaffe, Doug Lombardi, Margaret A. Holzer and Christopher Roemmele
Socially-relevant and controversial topics, such as water issues, are subject to differences in the explanations that scientists and the public (herein, students) find plausible. Students need to be more evaluative of the validity of explanations (e.g., ...
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Yingying Wang, Yibin Li, Yong Song and Xuewen Rong
The convolutional neural network (CNN) has been widely used in image recognition field due to its good performance. This paper proposes a facial expression recognition method based on the CNN model. Regarding the complexity of the hierarchic structure of...
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Yingying Wang, Yibin Li, Yong Song and Xuewen Rong
In recent years, with the development of artificial intelligence and human?computer interaction, more attention has been paid to the recognition and analysis of facial expressions. Despite much great success, there are a lot of unsatisfying problems, bec...
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David K. Gardner, Courtney B. Sheehan, Laura Rienzi, Mandy Katz-Jaffe and Mark G. L
Pág. 64 - 72
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M.G. Katz-Jaffe and D.K. Ga
Pág. S125 - S130
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Badalamenti, A. F. Beebe, B. Jaffe, J. Marquette, L. Helbraun, E. Andrews, H. Ellman, L.
Pág. 305 - 324
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El-Sayed, M. Jaffe, J.
Pág. 74 - 81
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Bouyukliev I. Jaffe D. B. Vavrek V.
Pág. 1539 - 1543
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