Menú

Listar C.U. UAEM Texcoco por autor "fa9319a3-18dd-4b6a-b73a-bd4ea387726a"

Ordenar por:Orden:Resultados:

  • CNN and Metadata for Classification of Benign and Malignant Melanomas 
    Ruiz-Castilla, José-Sergio; Rangel-Cortes, Juan-José; García-Lamont, Farid; Trueba-Espinosa, Adrián (Springer, 2019-07-03)
    Skin cancer is detected in skin lesions. The most common skin cancer is melanoma. Skin cancer is increasing in several parts of the world. Due to the above, it is important to work on the classification of melanomas, in ...
  • Comparison of artificial vision algorithms in the classification of skin diseases using neural networks 
    García Espinosa, Erick; Ruiz Castilla, José Sergio; García Lamont, Farid (Abstraction and Application, 2024-03-18)
    This study evaluates three tools for the detection of various dermatological diseases, including melanomas, chickenpox, measles, lupus, herpes, scabies, and monkeypox. The results indicate that Orange Data Mining consistently ...
  • Hybrid Algorithm of Convolutional Neural Networks and Vector Support Machines in Classification 
    Gómez Ramos, Marcos Yamir; Ruiz Castilla, José Sergio; García Lamont, Farid (Universidad Estatal Península de Santa Elena, La Libertad, Ecuador Prof. Teresa Guarda, 2021-11-17)
    Looking for the improvement of the classification, we propose a hybrid algorithm to identify the corn plant and the weed. With the aim of improving the fertilization and herbicide application processes. An efficient process ...
  • Identificación de somatotipos con inteligencia artificial: medidas antropométricas vs bioimpedancia 
    Ruiz Castilla, José Sergio; García Lamont, Farid; Urdañez Carbajal, María Fernanda (Abstraction & Application, 2023-09-11)
    The shape of a person's body depends on their race due to genetic inheritance. The shape of a person's body is classified into somatotypes. The somatotypes are: endomorph, mesomorph and ectomorph. To determine the somatotype, ...

Buscar en RI


Buscar en RI

Usuario