Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Wilfrido Gomez Flores"'
Publikováno v:
IEEE Access, Vol 10, Pp 116686-116696 (2022)
Huanglongbing (HLB) is one of the most threatening diseases for citrus production and it has caused significant economic damage worldwide. Hence, computer-vision systems that are based on convolutional neural networks (CNNs) can detect HLB accurately
Externí odkaz:
https://doaj.org/article/464cd64f23a8466b979a6cf8b5f0d798
Autor:
Rafael Bayareh Mancilla, Wilfrido Gomez Flores, Christian Daul, Josefina Gutierrez Martinez, Lorenzo Leija Salas, Didier Wolf, Arturo Vera Hernandez
Publikováno v:
2022 19th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9c03046159dfe1c35bba84d9c6c97e2
https://doi.org/10.1109/cce56709.2022.9976019
https://doi.org/10.1109/cce56709.2022.9976019
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
In the radiomics workflow, machine learning builds classification models from a set of input features. However, some features can be irrelevant and redundant, reducing the classification performance. This paper proposes using the Genetic Programming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43c54428445eca035177e6cb23748046
https://doi.org/10.1109/embc48229.2022.9871039
https://doi.org/10.1109/embc48229.2022.9871039
Publikováno v:
2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55bd582a5ec1ab2c470ee520e42f5a71
https://doi.org/10.1109/cce53527.2021.9633116
https://doi.org/10.1109/cce53527.2021.9633116
Publikováno v:
2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbae1537a30e1a5fa22dad4c9f8b19eb
https://doi.org/10.1109/cce53527.2021.9633047
https://doi.org/10.1109/cce53527.2021.9633047