Patricia Melin
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Explore the profile of Patricia Melin including associated specialties, affiliations and a list of published articles.
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30
Citations
427
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Recent Articles
11.
Melin P, Sanchez D, Monica J, Castillo O
Soft comput
. 2021 Jan;
27(6):3245-3282.
PMID: 33456340
In this paper, the latest global COVID-19 pandemic prediction is addressed. Each country worldwide has faced this pandemic differently, reflected in its statistical number of confirmed and death cases. Predicting...
12.
Melin P, Monica J, Sanchez D, Castillo O
Soft comput
. 2020 Nov;
27(5):2685-2694.
PMID: 33230389
We describe in this paper an approach for predicting the COVID-19 time series in the world using a hybrid ensemble modular neural network, which combines nonlinear autoregressive neural networks. At...
13.
Varela-Santos S, Melin P
Inf Sci (N Y)
. 2020 Oct;
545:403-414.
PMID: 32999505
Since the recent challenge that humanity is facing against COVID-19, several initiatives have been put forward with the goal of creating measures to help control the spread of the pandemic....
14.
Castillo O, Melin P
Chaos Solitons Fractals
. 2020 Sep;
140:110242.
PMID: 32863616
We describe in this paper a hybrid intelligent approach for forecasting COVID-19 time series combining fractal theory and fuzzy logic. The mathematical concept of the fractal dimension is used to...
15.
Melin P, Monica J, Sanchez D, Castillo O
Healthcare (Basel)
. 2020 Jun;
8(2).
PMID: 32575622
In this paper, a multiple ensemble neural network model with fuzzy response aggregation for the COVID-19 time series is presented. Ensemble neural networks are composed of a set of modules,...
16.
Melin P, Monica J, Sanchez D, Castillo O
Chaos Solitons Fractals
. 2020 Jun;
138:109917.
PMID: 32501376
We describe in this paper an analysis of the spatial evolution of coronavirus pandemic around the world by using a particular type of unsupervised neural network, which is called self-organizing...
17.
Pulido M, Melin P, Prado-Arechiga G
Int J Hypertens
. 2019 Feb;
2019:7320365.
PMID: 30809391
In this paper, we present a new model based on modular neural networks (MNN) to classify a patient's blood pressure level (systolic and diastolic pressure and pulse). Tests are performed...
18.
Sanchez D, Melin P, Castillo O
Comput Intell Neurosci
. 2017 Sep;
2017:4180510.
PMID: 28894461
A grey wolf optimizer for modular neural network (MNN) with a granular approach is proposed. The proposed method performs optimal granulation of data and design of modular neural networks architectures...
19.
Amador-Angulo L, Mendoza O, Castro J, Rodriguez-Diaz A, Melin P, Castillo O
Sensors (Basel)
. 2016 Sep;
16(9).
PMID: 27618062
A hybrid approach composed by different types of fuzzy systems, such as the Type-1 Fuzzy Logic System (T1FLS), Interval Type-2 Fuzzy Logic System (IT2FLS) and Generalized Type-2 Fuzzy Logic System...
20.
Perez-Ornelas F, Mendoza O, Melin P, Castro J, Rodriguez-Diaz A, Castillo O
PLoS One
. 2015 Jun;
10(6):e0131161.
PMID: 26115362
In literature, we can find different metrics to evaluate the detected edges in digital images, like Pratt's figure of merit (FOM), Jaccard's index (JI) and Dice's coefficient (DC). These metrics...