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Witthaya Hosap, Chaowanan Khundam, Patibut Preeyawongsakul, Varunyu Vorachart and Frédéric Noël
This study aimed to examine the use of light and color in digital paintings and their effect on audiences? perceptions of environmental issues. Five digital paintings depicting environmental issues have been designed. Digital painting techniques created ...
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Xinjian Xiang, Haibin Hu, Yi Ding, Yongping Zheng and Shanbao Wu
This study proposes a GC-YOLOv5s crack-detection network of UAVs to work out several issues, such as the low efficiency, low detection accuracy caused by shadows, occlusions and low contrast, and influences due to road noise in the classic crack-detectio...
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Sergi Mas-Pujol, Esther Salamí and Enric Pastor
Air traffic flow management (ATFM) is of crucial importance to the European Air Traffic Control System due to two factors: first, the impact of ATFM, including safety implications on ATC operations; second, the possible consequences of ATFM measures on b...
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Abdellatif Moussaid, Sanaa El Fkihi, Yahya Zennayi, Ouiam Lahlou, Ismail Kassou, François Bourzeix, Loubna El Mansouri and Yasmina Imani
The overall goal of this study is to define an intelligent system for predicting citrus fruit yield before the harvest period. This system uses a machine learning algorithm trained on historical field data combined with spectral information extracted fro...
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Victor Delvigne, Noé Tits, Luca La Fisca, Nathan Hubens, Antoine Maiorca, Hazem Wannous, Thierry Dutoit and Jean-Philippe Vandeborre
Visual attention estimation is an active field of research at the crossroads of different disciplines: computer vision, deep learning, and medicine. One of the most common approaches to estimate a saliency map representing attention is based on the obser...
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