Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Salvador Castro-Tapia"'
Autor:
Jesús Antonio Nava-Pintor, Miriam A. Carlos-Mancilla, Héctor A. Guerrero-Osuna, Luis F. Luque-Vega, Rocío Carrasco-Navarro, Salvador Castro-Tapia, Marcela E. Mata-Romero, Luis E. González-Jiménez, Luis Octavio Solís-Sánchez
Publikováno v:
Machines, Vol 11, Iss 9, p 894 (2023)
Kinematics is a fundamental topic in engineering, robotics, mechatronics, and control systems and significantly resolves some of these fields’ most pressing issues. It is essential to assess the balance between a topic’s theoretical framework and
Externí odkaz:
https://doaj.org/article/c0f0429385b148efb4d06a42151ae0d9
Autor:
Salvador Castro-Tapia, Celina Lizeth Castañeda-Miranda, Carlos Alberto Olvera-Olvera, Héctor A. Guerrero-Osuna, José Manuel Ortiz-Rodriguez, Ma. del Rosario Martínez-Blanco, Germán Díaz-Florez, Jorge Domingo Mendiola-Santibañez, Luis Octavio Solís-Sánchez
Publikováno v:
Applied Sciences, Vol 11, Iss 23, p 11398 (2021)
Breast cancer is one of the diseases of most profound concern, with the most prevalence worldwide, where early detections and diagnoses play the leading role against this disease achieved through imaging techniques such as mammography. Radiologists t
Externí odkaz:
https://doaj.org/article/681be7432c424ef983dd5bb4607c5fa6
Autor:
J. M. Ortiz-Rodriguez, Héctor A. Guerrero-Osuna, Luis Octavio Solís-Sánchez, Ma. del Rosario Martinez-Blanco, Carlos Olvera-Olvera, Celina Lizeth Castañeda-Miranda, Jorge D. Mendiola-Santibañez, Salvador Castro-Tapia, Germán Díaz-Florez
Publikováno v:
Applied Sciences; Volume 11; Issue 23; Pages: 11398
Applied Sciences, Vol 11, Iss 11398, p 11398 (2021)
Applied Sciences, Vol 11, Iss 11398, p 11398 (2021)
Breast cancer is one of the diseases of most profound concern, with the most prevalence worldwide, where early detections and diagnoses play the leading role against this disease achieved through imaging techniques such as mammography. Radiologists t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13548987f29e022730f467dd4fadfc81
https://doi.org/10.3390/app112311398
https://doi.org/10.3390/app112311398
Autor:
Margarita de la Luz Martínez Fierro, Maria del Rosario Martinez Blanco, José Manuel Ortíz Rodríguez, Ramon Jaramillo Martinez, Luis Octavio Solís Sánchez, Jose Cruz Moreira Galvan, Mireya Moreno Lucio, Jorge Alberto Barrios Garcia, Carlos Guerrero Mendez, Salvador Castro Tapia, Idalia Garza Veloz
Publikováno v:
Advanced Applications for Artificial Neural Networks
Breast cancer is a fatal disease causing high mortality in women. Constant efforts are being made for creating more efficient techniques for early and accurate diagnosis. Classical methods require oncologists to examine the breast lesions for detecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50b4e21d2d3ac9fea37df2c180be2b93
https://doi.org/10.5772/intechopen.71256
https://doi.org/10.5772/intechopen.71256
