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ListarCientífica por materia "Classification"

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  • A comprehensive survey on support vector machine classification: Applications, challenges and trends 
    Cervantes, Jair; GARCIA LAMONT, FARID; Rodriguez Mazahua, Lisbeth; Lopez, Asdrubal (Neurocomputing, 2020-05-08)
    In recent years, an enormous amount of research has been carried out on support vector machines (SVMs) and their application in several fields of science. SVMs are one of the most powerful and robust classification and ...
  • Classification of corn plants and weed based on characteristics of color and texture using methods of segmentation Otsu and PCA 
    GOMEZ RAMOS, MARCOS YAMIR; RUIZ CASTILLA, JOSE SERGIO; García Lamont, Farid (International Journal of Combinatorial Optimization Problems and Informatics, 2021-09-11)
    The corn crop is very important in Mexico. Corn is fertilized manually or with machinery. When fertilization is manual, it consists of depositing fertilizer to each corn plant. Whereas machine fertilization, involve of ...
  • 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 ...
  • Data selection based on decision tree for SVM classification on large data sets 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; Rodríguez Mazahua, Lisbeth; RUIZ CASTILLA, JOSE SERGIO (Applied Soft Computing, 2015-08-18)
    Support Vector Machine (SVM) has important properties such as a strong mathematical background and a better generalization capability with respect to other classification methods. On the other hand, the major drawback of ...
  • 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 ...

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