Resultados de búsqueda - UANL~
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6281
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6283
Air Quality Assessment and Pollution Forecasting using Recurrent Artificial Neural Networks in Metropolitan Lima-Peru
Publicado 2021“…In conclusion, recurrent artificial neural networks with BNCV adapt more precisely to critical pollution episodes and have better performance to forecast this type of environmental data, and can also be extrapolated to other pollutants.…”
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Preprint -
6284
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6285
Automatic counting of fish larvae using computer vision based on neural networks
Publicado 2022“…The developed system can be replicated in the aquaculture sector due to its effectiveness and cost.…”
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6286
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6287
A Hybrid Approach for Hierarchical Forecasting of Industrial Electricity Consumption in Brazil
Publicado 2024“…The results indicate that the proposed hybrid approach can contribute to the projection and analysis of industrial sector electricity consumption in Brazil.…”
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6288
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6289
Labor market regulation: An analysis of household budgeting and job stress in times of crisis
Publicado 2025“…It is relevant for future research and labor policies, as it provides a deeper understanding of the link between personal finances and work stress, and how their management can influence organizational productivity and well-being (Bedford et al., 2022).…”
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6290
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6291
Post-cessation interventions for preeclampsia
Publicado 2024“…Preeclampsia is characterized by high blood pressure associated with proteinuria or hypertension with or without proteinuria, it can complicate pregnancy affecting multiple organs and systems, being a high risk for the mother and fetus. …”
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6292
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6293
MySQL avanzado
Publicado 2009.Tabla de Contenidos: “…Arquitectura de MySQL -- Buscar cuellos de botella: medida de rendimiento y perfilado -- Optimización del esquema e indizado -- Optimización del rendimiento de las consultas -- Opciones avanzadas de MySQL -- Optimizar las configuraciones del servidor -- Optimización del sistema operativo y del hardware -- Replicación -- Escalabilidad y alta disponibilidad -- Optimización de la aplicación -- Copia de seguridad y recuperación -- Seguridad -- Estado del servidor MySQL -- Herramientas para un alto rendimiento -- Transferir archivos de gran tamaño -- Utilizar Explain -- Utilizar Sphinx con MySQL -- Bloqueos de depuración.…”
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Grief and Posttraumatic Growth in Individuals Who Have Experienced the Death of a Loved One From Six Latin American Countries: The Moderating Role of Gender and Age
Publicado 2025“…Moderation analysis utilized Model 2, proposed by Hayes. The findings from the analysis indicate that the proposed regression model is statistically significant in most countries. …”
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Artículo -
6296
Cross-Cultural Validity of the Grief Impairment Scale (GIS): Evidence From Four Latin American Countries
Publicado 2024“…However, there is no information on its cross-cultural utility. Thus, this study assessed the measurement invariance of the GIS using a large sample of bereaved adults ( N = 2060) from Peru, El Salvador, Ecuador, and Colombia. …”
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6297
New Psychometric Evidence of the Grief Impairment Scale (GIS) in People Who Have Experienced the Death of a Loved One From a Network Psychometric Approach in Two Latin American Cou...
Publicado 2024“…Reliability was estimated by structural consistency, and it was found that when replicating the network structure within an empirical dimension, a single network structure was consistently obtained, and all items remained stable. Furthermore, the network structure was invariant, thus functioning similarly across the different country groups. …”
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6298
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6299
Virtual Education and Post-Pandemic Academic Performance in University Students
Publicado 2024“…The learning experience can be improved by strengthening these areas and maximizing the potential of students in virtual education. …”
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6300
Time series forecasting via integrating a filtering method: an application to electricity consumption
Publicado 2025“…This paper proposes a methodology for forecasting electricity consumption by integrating a time series filtering method with any classical forecasting model. In particular, in order to evaluate the performance of the proposed methodology it was used the Seasonal and Trend decomposition using Loess (STL) decomposition method integrated with several classical statistical models (Holt-Winters, seasonal autoregressive integrated moving average, dynamic linear model, and TBATS) and the artificial neural networks approach (NNAR - neural network autoregression, MLP - multi-layer perceptron, and LSTM - long short-term memory). …”
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