Listar Publicaciones por autor "0000-0002-0131-7566"
Mostrando ítems 21-30 de 30
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Optimización de piezoeléctricos ecológicos por medio del monitoreo in situ de la viscosidad uniaxial. Primera etapa
Camacho Montes, Hector (2020-12-08)Se presentó el primer informe del proyecto A1-S-9232 “Optimización de piezoeléctricos ecológicos por medio del monitoreo in situ de la viscosidad uniaxial” Primera etapa, donde se exponen los logros y los atrasos que se ... -
PET Image Reconstruction Using a GRU-Convolutional Network
Mejia, Jose (2022-10-24)Positron emission tomography is widely used for tumor detection and treatment monitoring in oncology. However, the quality of the images depends, among other factors, on the amount of radiopharmaceutical ingested by the ... -
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 ... -
Segmentation of Lung Lesions Caused by COVID-19 in Computed Tomography Images Using Deep Learning
Díaz Román, José David (Springer, 2023-08-22)Smart cities are transforming the way people live, work, and socialize. Smart cities offer a wide range of opportunities to improve the quality of life for citizens, and smart healthcare is one of the most promising ... -
Sincronización de una red inalámbrica de sensores basada en el comportamiento de las luciérnagas
Payan Ramírez, Oscar Francisco (ITCH, 2018-10-05)En la actualidad existe un amplio campo de aplicación de redes de sensores, el cual va desde agricultura de precisión, monitoreo de tráfico, detección de incendios forestales, domótica hasta la vigilancia en campo de ...