ListarArtículos Científicos WOS y SCOPUS por tema "prediction"
Mostrando ítems 1-7 de 7
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Algorithm and software based on MLPNN for estimating channel use in the spectral decision stage in cognitive radio networks
(ARPN Journal of Engineering and Applied Sciences, 01/03/2018)The use of the multilayer perceptron neural networks (MLPNN) technique is proposed to estimate the future state of use of a licensed channel by primary users (PUs); this will be useful at the spectral decision stage in ... -
Análisis de la influencia de los goles encajados en la clasificación final de las principales ligas de fútbol europeas
(Journal of Sport and Health Research, 09/2019)En el fútbol, el número de goles anotados o encajados, es lo que da como resultado que se obtenga o no la victoria. Los objetivos de este trabajo fueron: conocer las diferencias de los goles encajados en función del ... -
Finding an accurate early forecasting model from small dataset: A case of 2019-nCoV novel coronavirus outbreak
(International Journal of Interactive Multimedia and Artificial Intelligence, 03/2020)Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and remedic actions. These measures include ... -
Percolation Threshold of AOT Microemulsions with n-Alkyl Acids as Additives Prediction by Means of Artificial Neural Networks
(Tenside Surfactants Detergents, 09/2013)Different artificial neural networks architectures have been assayed to predict percolation temperature of AOT/iC(8)/H2O microemulsions in the presence of n-alkyl acids with a chain length between 0 and 24 carbons, using ... -
Predicting Posttraumatic Stress Disorder Among Survivors of Recent Interpersonal Violence
(SAGE Journals, 2022)A substantial minority of women who experience interpersonal violence will develop posttraumatic stress disorder (PTSD). One critical challenge for preventing PTSD is predicting whose acute posttraumatic stress symptoms ... -
Probabilistic Forecasting Model for the COVID-19 Pandemic Based on the Composite Monte Carlo Model Integrated with Deep Learning and Fuzzy System
(Epidemic Analytics for Decision Supports in COVID19 Crisis, 2022)There are several techniques to support simulation of time series behavior. In this chapter, the approach will be based on the Composite Monte Carlo (CMC) simulation method. This method is able to model future outcomes of ... -
Toxicity prediction based on artificial intelligence: A multidisciplinary overview
(John Wiley and Sons Inc, 2021)The use and production of chemical compounds are subjected to strong legislative pressure. Chemical toxicity and adverse effects derived from exposure to chemicals are key regulatory aspects for a multitude of industries, ...