Výsledky vyhledávání - "Daniel Zaldívar"

Akademický článek

Mathematical Optimization Strategy for Effectiveness Profile Estimation in Two-Dose Vaccines and Its Use in Designing Improved Vaccination Strategies Focused on Pandemic Containment

Autor: Óscar A. González-Sánchez, Daniel Zaldívar, Erik Cuevas, L. Javier González-Ortiz

Publikováno v: Vaccines, Vol 12, Iss 1, p 81 (2024)

Since late 2019, most efforts to control the COVID-19 pandemic have focused on developing vaccines. By mid-2020, some vaccines fulfilled international regulations for their application. However, these vaccines have shown a decline in effectiveness se

Externí odkaz: https://doaj.org/article/7e02974be7ce435c92ca38b096f4f026

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Akademický článek

Enhancing Pneumonia Segmentation in Lung Radiographs: A Jellyfish Search Optimizer Approach

Autor: Omar Zarate, Daniel Zaldívar, Erik Cuevas, Marco Perez

Publikováno v: Mathematics, Vol 11, Iss 20, p 4363 (2023)

Segmentation of pneumonia on lung radiographs is vital for the precise diagnosis and monitoring of the disease. It enables healthcare professionals to locate and quantify the extent of infection, guide treatment decisions, and improve patient care. O

Externí odkaz: https://doaj.org/article/7969684b04174463b9f9bdcf3a385fe2

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Akademický článek

Micro-Grooved Pipe Design of Parabolic Trough by Metaheuristic Optimization: An Empirical Comparison

Autor: Valentín Osuna-Enciso, Marco Pérez-Cisneros, Daniel Zaldívar-Navarro

Publikováno v: Energies, Vol 13, Iss 2, p 449 (2020)

Pipe design is one of the most significant research lines in the area of parabolic semi-cylindrical solar collectors. The main idea behind pipe design is to increase the capillarity angle by expanding the total area being heated, therefore boosting t

Externí odkaz: https://doaj.org/article/9c2b6f6ddc9642e1a20f51abf1116242

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Akademický článek

A Chaos-Embedded Gravitational Search Algorithm for the Identification of Electrical Parameters of Photovoltaic Cells

Autor: Arturo Valdivia-González, Daniel Zaldívar, Erik Cuevas, Marco Pérez-Cisneros, Fernando Fausto, Adrián González

Publikováno v: Energies, Vol 10, Iss 7, p 1052 (2017)

Solar energy is used worldwide to alleviate the daily increasing demands for electric power. Photovoltaic (PV) cells, which are used to convert solar energy into electricity, can be represented as equivalent circuit models, in which a series of elect

Externí odkaz: https://doaj.org/article/2c7fc05f40314140a52bc8b11d5df186

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Akademický článek

A States of Matter Search-Based Approach for Solving the Problem of Intelligent Power Allocation in Plug-in Hybrid Electric Vehicles

Autor: Arturo Valdivia-Gonzalez, Daniel Zaldívar, Fernando Fausto, Octavio Camarena, Erik Cuevas, Marco Perez-Cisneros

Publikováno v: Energies, Vol 10, Iss 1, p 92 (2017)

Recently, many researchers have proved that the electrification of the transport sector is a key for reducing both the emissions of green-house pollutants and the dependence on oil for transportation. As a result, Plug-in Hybrid Electric Vehicles (or

Externí odkaz: https://doaj.org/article/3a7a3ada412c49bb8b2a979cf69f8d45

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Akademický článek

A Comparison of Evolutionary Computation Techniques for IIR Model Identification

Autor: Erik Cuevas, Jorge Gálvez, Salvador Hinojosa, Omar Avalos, Daniel Zaldívar, Marco Pérez-Cisneros

Publikováno v: Journal of Applied Mathematics, Vol 2014 (2014)

System identification is a complex optimization problem which has recently attracted the attention in the field of science and engineering. In particular, the use of infinite impulse response (IIR) models for identification is preferred over their eq

Externí odkaz: https://doaj.org/article/5ec49d9f167e403f98a6d278dc81fc29

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