Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Khazem, Salim"'
Plastic waste in aquatic environments poses severe risks to marine life and human health. Autonomous robots can be utilized to collect floating waste, but they require accurate object identification capability. While deep learning has been widely use
Externí odkaz:
http://arxiv.org/abs/2409.12659
Autor:
Chevallier, Sylvain, Carrara, Igor, Aristimunha, Bruno, Guetschel, Pierre, Sedlar, Sara, Lopes, Bruna, Velut, Sebastien, Khazem, Salim, Moreau, Thomas
Objective. This study conduct an extensive Brain-computer interfaces (BCI) reproducibility analysis on open electroencephalography datasets, aiming to assess existing solutions and establish open and reproducible benchmarks for effective comparison w
Externí odkaz:
http://arxiv.org/abs/2404.15319
The quality of a wood log in the wood industry depends heavily on the presence of both outer and inner defects, including inner knots that are a result of the growth of tree branches. Today, locating the inner knots require the use of expensive equip
Externí odkaz:
http://arxiv.org/abs/2308.11291
Calibration is still an important issue for user experience in Brain-Computer Interfaces (BCI). Common experimental designs often involve a lengthy training period that raises the cognitive fatigue, before even starting to use the BCI. Reducing or su
Externí odkaz:
http://arxiv.org/abs/2111.12071
Publikováno v:
In Artificial Intelligence in Agriculture March 2023 7:13-26
