Listar Artículo en revista de investigación por autor "0000-0002-0131-7566"
Mostrando ítems 1-16 de 16
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A method to construct all the paving matroids over a finite set
Mederos, Boris (2022-06-27)We give a characterization of paving matroids through their sets of hyperplanes and an algorithm to construct all of them. We also give a simple proof of Rota’s basis conjecture for the case of sparse-paving matroids and ... -
A weighted and distributed algorithm for multi-hop localization
Cota Ruiz, Juan De Dios (2019-07-01)Multi-hop wireless sensor networks are widely used in many location-dependent applications. Most applications assume the knowledge of geographic location of sensor nodes; however, in practical scenarios, the high accuracy ... -
A Weighted and Distributed Algorithm for Range-Based Multi-Hop Localization Using a Newton Method
Díaz Román, José David (2021-03-26)Wireless sensor networks are used in many location-dependent applications. The location of sensor nodes is commonly carried out in a distributed way for energy saving and network robustness, where the handling of these ... -
Adaptive filter with Riemannian manifold constraint
Mejia, Jose (2023-06-02)The adaptive filtering theory has been extensively developed, and most of the proposed algorithms work under the assumption of Euclidean space. However, in many applications, the data to be processed comes from a non-linear ... -
Automated detection of parenchymal changes of ischemic stroke in non-contrast computer tomography: A fuzzy approach
Gordillo Castillo, Nelly (2018-06-05)The detection of ischemic changes is a primary task in the interpretation of brain Computer Tomography (CT) of patients suffering from neurological disorders. Although CT can easily show these lesions, their interpretation ... -
Compress sensing algorithm for estimation of signals in sensor networks
Martínez, Juan (2019-06-07)In this research, we present a data recovery scheme for wireless sensor networks. In some sensor networks, each node must be able to recover the complete information of the network, which leads to the problem of the high ... -
DETECCIÓN DE SOMNOLENCIA EN CONDUCTORES DE VEHÍCULOS POR MEDIO DE PROCESAMIENTO DE VIDEO
Díaz Román, José David (2022-06-30)Los accidentes automovilísticos son una de las principales causas de muerte y lesiones a nivel mundial. Muchos son causados por fatiga y somnolencia de los conductores. El presente estudio tiene como objetivo detectar ... -
Detection of COVID-19 Lung Lesions in Computed Tomography Images Using Deep Learning
Mederos, Boris; Mejia, Jose; Rascon Madrigal, Lidia Hortencia; Cota Ruiz, Juan De Dios; Díaz Román, José David; 157964 (2022-04-13)The novel coronavirus (COVID-19) is a disease that mainly affects the lung tissue. The detection of lesions caused by this disease can help to provide an adequate treatment and monitoring its evolution. This research ... -
Estimation of the lifespan distribution of gold nanoparticles stabilized with lipoic acid by accelerated degradation tests and wiener process
Cornejo Monroy, Delfino (2022-07-06)Accelerated degradation tests (ADT) are widely used in the manufacturing industry to obtain information on the reliability of components and materials, by degrading the lifespan of the product by applying an acceleration ... -
Inventory Model with Stochastic Demand Using Single-Period Inventory Model and Gaussian Process
Mejia, Jose (2022-04-16)Proper inventory management is vital to achieving sustainability within a supply chain and is also related to a company’s cash flow through the funds represented by the inventory. Therefore, it is necessary to balance ... -
Prediction of time series using an analysis filter bank of LSTM units
Mejia, Jose (2021-04-29)Time series emerge in various applications such as financial data and production data, however, most of the generated data exhibit nonlinear inter-dependency between samples and noise, making necessary the development of ... -
Prediction of time series using wavelet Gaussian process for wireless sensor networks
Mejia, Jose (2020-01-08)The detection and transmission of a physical variable over time, by a node of a sensor network to its sink node, represents a significant communication overload and consequently one of the main energy consumption processes. ... -
Reconstruction of PET images using anatomical adaptive parameters and hybrid regularization
mejia, jose (2018-04-01)Positron Emission Tomography (PET) is a nuclear medicine technique used to obtain metabolic images of the body. PET scanners used in the research, treatment, and monitoring of several diseases provide images of metabolic ... -
Reconstruction of PET Images Using Cross-Entropy and Field of Experts
Mejia, Jose (2019-01-18)The reconstruction of positron emission tomography data is a difficult task, particularly at low count rates because Poisson noise has a significant influence on the statistical uncertainty of positron emission tomography ... -
Reconstruction of Positron Emission Tomography Images Using Gaussian Curvature
mejia, jose (2018-11-15)Positron emission tomography (PET) provides images of metabolic activity in the body, and it is used in the research, monitoring, and diagnosis of several diseases. However, the raw data produced by the scanner are severely ... -
Robust weighted Gaussian processes
Mederos, Boris (2020-07-09)This paper presents robust weighted variants of batch and online standard Gaussian processes (GPs) to effectively reduce the negative impact of outliers in the corresponding GP models. This is done by introducing robust ...