Search Results - "Perez Ortega, Joaquin"

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  1. 1

    Narrow transmittance peaks in a multilayered microsphere with a quasiperiodic left-handed stack by Burlak, Gennadiy, Díaz-de-Anda, A., Salgado, René Santaolaya, Ortega, Joaquín Pérez

    Published in Optics communications (01-10-2010)
    “…We studied the photon spectrum in coated microspheres with alternating quasiperiodic layers having left-handed (LH) materials included. It is found that the…”
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    Journal Article
  2. 2

    Hurst Exponent with ARIMA and Simple Exponential Smoothing for Measuring Persistency of M3- Competition Series by Ponce Flores, Mirna Patricia, Frausto Solis, Juan, Castilla Valdez, Guadalupe, Gonzalez Barbosa, Juan Javier, Perez Ortega, Joaquin, Teran Villanueva, Jesus David

    Published in Revista IEEE América Latina (01-05-2019)
    “…The Hurst exponent is a metric used to evaluate whether a time series exhibits long-term memory, and it is used to identify its complexity. Besides,…”
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    Journal Article
  3. 3

    Towards a Characterization of Difficult Instances of the Bin Packing Problem by Mexicano Santoyo, Adriana, Perez Ortega, Joaquin, Romero, David, Cruz Reyes, Laura

    Published in Revista IEEE América Latina (01-07-2015)
    “…We address the multidimensional characterization of difficult instances of the Bin Packing Problem, well known in the combinatorial optimization realm. In…”
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    Journal Article
  4. 4

    Survey of polynomial transformations between NP-complete problems by Ruiz-Vanoye, Jorge A., Pérez-Ortega, Joaquín, Pazos R., Rodolfo A., Díaz-Parra, Ocotlán, Frausto-Solís, Juan, Fraire Huacuja, Hector J., Cruz-Reyes, Laura, Martínez F., José A.

    “…This paper aims at being a guide to understand polynomial transformations and polynomial reductions between NP-complete problems by presenting the…”
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    Journal Article Conference Proceeding
  5. 5

    Balancing effort and benefit of K-means clustering algorithms in Big Data realms by Pérez-Ortega, Joaquín, Almanza-Ortega, Nelva Nely, Romero, David

    Published in PloS one (05-09-2018)
    “…In this paper we propose a criterion to balance the processing time and the solution quality of k-means cluster algorithms when applied to instances where the…”
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    Journal Article
  6. 6

    Correlation between mobility in mass transport and mortality due to COVID-19: A comparison of Mexico City, New York, and Madrid from a data science perspective by Vega-Villalobos, Andrea, Almanza-Ortega, Nelva Nely, Torres-Poveda, Kirvis, Pérez-Ortega, Joaquín, Barahona, Igor

    Published in PloS one (17-03-2022)
    “…In most big cities, public transports are enclosed and crowded spaces. Therefore, they are considered as one of the most important triggers of COVID-19 spread…”
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    Journal Article
  7. 7

    Time Series Complexities and Their Relationship to Forecasting Performance by Ponce-Flores, Mirna, Frausto-Solís, Juan, Santamaría-Bonfil, Guillermo, Pérez-Ortega, Joaquín, González-Barbosa, Juan J

    Published in Entropy (Basel, Switzerland) (10-01-2020)
    “…Entropy is a key concept in the characterization of uncertainty for any given signal, and its extensions such as Spectral Entropy and Permutation Entropy. They…”
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    Journal Article
  8. 8

    Hybrid Fuzzy C-Means Clustering Algorithm Oriented to Big Data Realms by Pérez-Ortega, Joaquín, Roblero-Aguilar, Sandra Silvia, Almanza-Ortega, Nelva Nely, Frausto Solís, Juan, Zavala-Díaz, Crispín, Hernández, Yasmín, Landero-Nájera, Vanesa

    Published in Axioms (01-08-2022)
    “…A hybrid variant of the Fuzzy C-Means and K-Means algorithms is proposed to solve large datasets such as those presented in Big Data. The Fuzzy C-Means…”
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    Journal Article
  9. 9

    Influence of Transfer Entropy in the Short-Term Prediction of Financial Time Series Using an ∊-Machine by Zavala-Díaz, José Crispín, Pérez-Ortega, Joaquín, Almanza-Ortega, Nelva Nely, Pazos-Rangel, Rodolfo, Rodríguez-Lelís, José María

    Published in Entropy (Basel, Switzerland) (30-07-2022)
    “…Predicting the values of a financial time series is mainly a function of its price history, which depends on several factors, internal and external. With this…”
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    Journal Article
  10. 10

    Hybrid Fuzzy C-Means Clustering Algorithm, Improving Solution Quality and Reducing Computational Complexity by Pérez-Ortega, Joaquín, Moreno-Calderón, Carlos Fernando, Roblero-Aguilar, Sandra Silvia, Almanza-Ortega, Nelva Nely, Frausto-Solís, Juan, Pazos-Rangel, Rodolfo, Martínez-Rebollar, Alicia

    Published in Axioms (01-09-2024)
    “…Fuzzy C-Means is a clustering algorithm widely used in many applications. However, its computational complexity is very large, which prevents its use for large…”
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    Journal Article
  11. 11

    A New Criterion for Improving Convergence of Fuzzy C-Means Clustering by Pérez-Ortega, Joaquín, Moreno-Calderón, Carlos Fernando, Roblero-Aguilar, Sandra Silvia, Almanza-Ortega, Nelva Nely, Frausto-Solís, Juan, Pazos-Rangel, Rodolfo, Rodríguez-Lelis, José María

    Published in Axioms (01-01-2024)
    “…One of the most used algorithms to solve the fuzzy clustering problem is Fuzzy C-Means; however, one of its main limitations is its high computational…”
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    Journal Article
  12. 12

    Application of Data Science for Cluster Analysis of COVID-19 Mortality According to Sociodemographic Factors at Municipal Level in Mexico by Pérez-Ortega, Joaquín, Almanza-Ortega, Nelva Nely, Torres-Poveda, Kirvis, Martínez-González, Gerardo, Zavala-Díaz, José Crispín, Pazos-Rangel, Rodolfo

    Published in Mathematics (Basel) (01-07-2022)
    “…Mexico is among the five countries with the largest number of reported deaths from COVID-19 disease, and the mortality rates associated to infections are…”
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    Journal Article
  13. 13

    POFCM: A Parallel Fuzzy Clustering Algorithm for Large Datasets by Pérez-Ortega, Joaquín, Rey-Figueroa, César David, Roblero-Aguilar, Sandra Silvia, Almanza-Ortega, Nelva Nely, Zavala-Díaz, Crispín, García-Paredes, Salomón, Landero-Nájera, Vanesa

    Published in Mathematics (Basel) (01-04-2023)
    “…Clustering algorithms have proven to be a useful tool to extract knowledge and support decision making by processing large volumes of data. Hard and fuzzy…”
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    Journal Article
  14. 14

    Searching for Cerebrovascular Disease Optimal Treatment Recommendations Applying Markovian Processes by Victorio-Meza, Hermilo, Mejia-Lavalle, Manuel, Martinez Rebollar, Alicia, Perez Ortega, Joaquin, Pichardo Lagunas, Obdulia, Sidorov, Grigori

    “…It is modeled diagnosis and treatment for cerebrovascular diseases by partially observable Markov decision processes. It is desired that this model will be…”
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    Conference Proceeding
  15. 15
  16. 16

    Mathematical Model for Optimizing the Composition of an Investment Portfolio for the Mexican Stock Market by Zavala-Diaz, J.C., Perez-Ortega, J., Rodolfo, P.R., Dalia, V.G.V., Cruz-Reyes, L.

    “…A linear programming mathematical model is presented, which permits to compose an investment portfolio that achieves the maximal return at minimal risk from…”
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    Conference Proceeding
  17. 17

    Minimizing roundtrip response time in distributed databases with vertical fragmentation by Pazos, Rodolfo A., Vázquez, Graciela, Martínez, José A., Pérez-Ortega, Joaquín, Martínez-Luna, Gilberto

    “…The main purpose of this paper is to show the advantage of using a model proposed by us, which minimizes roundtrip response time versus traditional models that…”
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    Journal Article
  18. 18

    Systematic Review of Methodologies in Data Science by Ruiz-Lopez, Francisco, Perez-Ortega, Joaquin, Ortiz-Hernandez, Javier, Hernandez-Perez, Yasmin, Saenz-Sanchez, Socorro

    “…In this paper, the problem of finding outstanding research works in the topic of methodologies of Data Science was addressed. Although there are survey-type…”
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    Conference Proceeding
  19. 19

    “Cooperation Greedy Monkey Algorithm”: Algoritmo paralelo para resolver la clase fuertemente correlacionada del problema de la mochila 0-1 by Zavala-Díaz, José Crispín, Pérez-Ortega, Joaquín, Almanza-Ortega, Nely Nelva, López-Calderón, Jaqueline

    Published in Programación Matemática y Software (04-06-2021)
    “…Se presenta la paralelización del Cooperation Greedy Monkey Algorithm y el ajuste de parámetros para resolver el problema KP 0-1 (0-1 Knapsack Problem). Los…”
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    Journal Article
  20. 20

    Matrix multiplication with a hypercube algorithm on multi-core processor cluster by Zavala-Diaz, José Crispín, Pérez-Ortega, Joaquín, Salazar-Reséndiz, Efraín, Guadarrama-Rogel, Luis César

    Published in Dyna (Medellín, Colombia) (01-01-2015)
    “…The algorithm of multiplication of matrices of Dekel, Nassimi and Sahani or Hypercube is analysed, modified and implemented on multicore processor cluster,…”
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    Journal Article