Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maria Dolores Torres Soto"'
Publikováno v:
ReCIBE, Vol 13, Iss 3 (2024)
Los videojuegos son una herramienta importante como campo de pruebas de algoritmos de aprendizaje por refuerzo, sin embargo, también son una buena herramienta para generar inteligencia artificial para los mismos. Esta investigación se dividió en d
Externí odkaz:
https://doaj.org/article/3be9cc1ba65a49c8b72f63370272f51e
Publikováno v:
2021 4th International Conference on Inclusive Technology and Education (CONTIE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a81d8d8def0ae1b06afaeb06502cb78
https://doi.org/10.1109/contie54684.2021.00014
https://doi.org/10.1109/contie54684.2021.00014
Autor:
Cristina Juarez, Landin, Magally Martinez, Reyes, Anabelem Soberanes, Martin, Rosa Maria Valdovinos, Rosas, Jose Luis Sanchez, Ramirez, Volodymyr, Ponomaryov, Maria Dolores Torres, Soto
Publikováno v:
Advances in experimental medicine and biology. 696
The analysis of different Wavelets including novel Wavelet families based on atomic functions are presented, especially for ultrasound (US) and mammography (MG) images compression. This way we are able to determine with what type of filters Wavelet w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::b5657f61cbcab6b37a256cdb3600a725
https://pubmed.ncbi.nlm.nih.gov/21431590
https://pubmed.ncbi.nlm.nih.gov/21431590
Autor:
Magally Martínez Reyes, Rosa Maria Valdovinos Rosas, José Luis Sánchez Ramírez, Anabelem Soberanes Martín, Volodymyr Ponomaryov, Maria Dolores Torres Soto, Cristina Juarez Landin
Publikováno v:
Advances in Experimental Medicine and Biology ISBN: 9781441970459
The analysis of different Wavelets including novel Wavelet families based on atomic functions are presented, especially for ultrasound (US) and mammography (MG) images compression. This way we are able to determine with what type of filters Wavelet w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad37c42e89c9d5589d14e491d73454b2
https://doi.org/10.1007/978-1-4419-7046-6_50
https://doi.org/10.1007/978-1-4419-7046-6_50
