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EM-based optimization of microwave circuits using artificial neural networks: the state of the art
(IEEE Trans. Microwave Theory Tech.;52, 2004-01)
EM-based optimization of microwave circuits using artificial neural networks: the state of the art
(IEEE Trans. Microwave Theory Tech.;52, 2004-01)
EM-based optimization of microwave circuits using artificial neural networks: the state of the art
(IEEE Trans. Microwave Theory Tech.;52, 2013)
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)
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. ...