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  • Open Access

    ARTICLE

    A New Minimax Probabilistic Approach and Its Application in Recognition the Purity of Hybrid Seeds

    Liming Yang1, Yongping Gao2, Qun Sun3

    CMES-Computer Modeling in Engineering & Sciences, Vol.104, No.6, pp. 493-506, 2015, DOI:10.3970/cmes.2015.104.493

    Abstract Minimax probability machine (MPM) has been recently proposed and shown its advantage in pattern recognition. In this paper, we present a new minimax probabilistic approach (MPA),which can provide an explicit lower bound on prediction accuracy. Applying the Chebyshev-Cantelli inequality, the MPA is posed as a second order cone program formulation and solved effectively. Following that, this method is exploited directly to recognize the purity of hybrid seeds using near-infrared spectroscopic data. Experimental results in different spectral regions show that the proposed MPA is competitive with the existing minimax probability machine and support vector machine in More >

  • Open Access

    ARTICLE

    A classification tree for the prediction of benign versus malignant disease in patients with small renal masses

    Ricardo A. Rendon1, Ross J. Mason1, Susan Kirkland2, Joseph G. Lawen1, Mohamed Abdolell3

    Canadian Journal of Urology, Vol.21, No.4, pp. 7379-7384, 2014

    Abstract Introduction: To develop a classification tree for the preoperative prediction of benign versus malignant disease in patients with small renal masses.
    Materials and methods: This is a retrospective study including 395 consecutive patients who underwent surgical treatment for a renal mass < 5 cm in maximum diameter between July 1st 2001 and June 30th 2010. A classification tree to predict the risk of having a benign renal mass preoperatively was developed using recursive partitioning analysis for repeated measures outcomes. Age, sex, volume on preoperative imaging, tumor location (central/peripheral), degree of endophytic component (1%–100%), and tumor axis position… More >

  • Open Access

    ARTICLE

    Classification and Optimization Model of Mesoporous Carbons Pore Structure and Adsorption Properties Based on Support Vector Machine

    Zhen Yang1, Xingsheng Gu2, Xiaoyi Liang1,3

    CMES-Computer Modeling in Engineering & Sciences, Vol.74, No.3&4, pp. 161-182, 2011, DOI:10.3970/cmes.2011.074.161

    Abstract Mesoporous carbons are synthesized by organic-organic self-assembly of triblock copolymer F127 and a new type of carbon precursor as resorcinol-furfural oligomers. Some factors will impact the mesoporous carbons pore structure and properties were studied. The main factors, such as the ratio of triblock copolymer F127 and oligomers, degree of polymerizstry of resorcinol-furfural oligomers, the ratio of resorcinol-furfural oligomers - F/R, and their mutual relations were identified. Aimed at balancing the complex characteristic of mesoporous structure and adsorption properties, a classification and optimization model based on support vector machine is developed. The optimal operation conditions of More >

  • Open Access

    ABSTRACT

    A New Quadtree-based Image Compression Technique using Pattern Matching Algorithm

    F. Keissarian1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.12, No.4, pp. 137-144, 2009, DOI:10.3970/icces.2009.012.137

    Abstract In this paper, a new image compression technique is proposed in which variable block size technique is adopted, using quadtree decomposition, for coding images at low bit rates. The proposed algorithm decomposes the host image into blocks of variable sizes according to histogram analysis of the block residuals. Variable block sizes are then encoded at different rates based on their visual activity levels. To preserve edge integrity, a high-detail block is coded by a set of parameters associated with the pattern appearing inside the block. The use of these parameters at the receiver together with More >

  • Open Access

    ARTICLE

    Classification and estimation of genetic diversity in Nopal Opuntia spp based on phenotypic descriptors and genetic-molecular markers

    García-Zambrano2 Eduardo A, Adriana Gutiérrez-Díez, Gilberto E Salinas-García, Elizabeth Cárdenas-Cerda, Rigoberto E Vázquez-Alvarado, Francisco Zavala-García, Jesús Martínez de la Cerda

    Phyton-International Journal of Experimental Botany, Vol.75, pp. 125-135, 2006, DOI:10.32604/phyton.2006.75.125

    Abstract The objective of this investigation was to develop and apply molecular markers (type RAPD) for estimating the genetic diversity of 100 Opuntia accessions from the Germoplasma Bank of the FAUANL. The molecular data were evaluated by multivariate analysis using the methods of Ward and UPGMA. These results were compared with phenotypic data taken from the same accessions, already evaluated by the above mentioned methods. The protocol was modified for the extraction of the Opuntia DNA to reduce the quantity of polysaccharides and their influence in its quality. Later on, a protocol was developed for the generation of More >

  • Open Access

    ARTICLE

    Water quality in the basin of the Amajac river, Hidalgo, Mexico: Diagnosis and prediction

    Amado Alvarez1,2, Enrique Rubiños Panta1, Francisco Gavi Reyes1, Juan José Alarcón Cabañero2, Elizabeth Hernández Acosta3, Carlos Ramírez Ayala1, Enrique Mejía Saenz1, Francisco Pedrero Salcedo2, Emilio Nicolas Nicolas2, Enrique Salazar Sosa4

    Phyton-International Journal of Experimental Botany, Vol.75, pp. 71-83, 2006, DOI:10.32604/phyton.2006.75.071

    Abstract A water quality index as a standardized method to compare the category in an integral way, between locations and through time, of the different water, river and stream storages of the Amajac river basin was developed. In addition, it is possible to predict the degree of contamination and establish planning strategies in the management of the water resources for the river basin in issue. The used methodology was based in the quantitative expression of water quality. Three samplings were made (2005-2006) and Dissolved Oxygen, Coliform in feaces, pH, Oxygen Biochemical Demand, Nitrates, Total Phosphorus, Turbidity… More >

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