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ListarC.U. UAEM Texcoco por materia "Artificial vision"

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  • 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 ...
  • Identification of Diseases and Pests in Tomato Plants Through Artificial Vision 
    García Amaro, Ernesto; Cervantes Canales, Jair; Espejel Cabrera, Josué; Ruiz Castilla, José Sergio; GARCIA LAMONT, FARID (Springer, 2020-10-05)
    The extraction of characteristics, currently, plays an important role, likewise, it is considered a complex task, allowing to obtain essential descriptors of the processed images, differentiating particular characteristics ...

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