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Ziyang Wang and Irina Voiculescu
Conventional deep learning methods have shown promising results in the medical domain when trained on accurate ground truth data. Pragmatically, due to constraints like lack of time or annotator inexperience, the ground truth data obtained from clinical ...
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Senhao Zhao, Hang Hu, Yangchao Huang, Guobing Cheng, Tao Huang, Huizhu Han and Qi An
Unmanned aerial vehicles (UAVs) are considered an important component of 6G wireless technology. However, there are many challenges to the employment of UAVs, one of which is spectrum scarcity. To address this challenge, non-orthogonal multiple access (N...
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Yang Zhang, Qiang Gui, Yuzheng Yang and Wei Li
An efficient graphical acoustic computing (GRACO) method is introduced. Referring to the rendering of semi-transparent objects, the depth peeling (DP) technique is compounded with the GRACO method, forming a combined GRACO and DP method (GRACO?DP) to con...
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Rianna Burnham
The behavioural, physiological, and energetic repercussions for wildlife that result from changes in their soundscapes are increasingly being realized. To understand the effects of changing acoustic landscapes, we first must establish the importance of t...
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Sarah Benjelloun, Mohamed El Mehdi El Aissi, Younes Lakhrissi and Safae El Haj Ben Ali
Thanks to continuously evolving data management solutions, data-driven strategies are considered the main success factor in many domains. These strategies consider data as the backbone, allowing advanced data analytics. However, in the agricultural field...
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