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Mitigation of the ground reflection effect in real-time locating systems based on wireless sensor networks by using artificial neural networks
(01/01/2013)
Wireless sensor networks (WSNs) have become much more relevant in recent years, mainly because they can be used in a wide diversity of applications. Real-time locating systems (RTLSs) are one of the most promising applications ...
Hybrid Neural Networks Applied to Brazilian Stock Market
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2020)
Implementación web de redes neuronales artificiales aplicadas a la predicción de series de tiempo
(Ingeniería de Sistemas, 2018)
ARTIFICIAL NEURAL NETWORKS APPLIED TO FLOOD FORECASTING FOR THE PANTANAL REGION IN MATO GROSSO DO SULREDES NEURAIS ARTIFICIAIS APLICADAS À PREVISÃO DE ENCHENTES PARA REGIÃO DO PANTANAL NO MATO GROSSO DO SUL
(Instituto de Geociências e Ciências Exatas, Universidade Estadual Paulista, 2020)
Artificial neural networks in academic performance prediction: Systematic implementation and predictor evaluation
(Elsevier, 2021-03)
The applications of artificial intelligence in education have increased in recent years. However, further conceptual and methodological understanding is needed to advance the systematic implementation of these approaches. ...
Determining the Effect of the Main Alloying Elements on Localized Corrosion in Nickel Alloys Using Artificial Neural Networks
(Elsevier, 2015-06)
Nickel base alloys are considered among candidate materials for engineered barriers of nuclear repositories. The localized corrosion resistance is a determining factor in materials selection for this application. This work ...
Recurrent Neural Networks for Predicting Mobile Device State
(IGI Global, 2017)
Nowadays, mobile devices are ubiquitous in modern life as they allow users to perform virtually any task, from checking e-mails to playing video games. However, many of these operations are conditioned by the state of ...