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Deep neural network approaches for Spanish sentiment analysis of short texts
(Springer Verlag, 2018)
Sentiment Analysis has been extensively researched in the last years. While important theoretical and practical results have been obtained, there is still room for improvement. In particular, when short sentences and low ...
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)
Neural inverse space mapping (NISM) optimization for EM-based microwave design
(Int. J. RF and Microwave CAE, 2013)
Sensitivity and generalized analytical sensitivity expressions for quantitative analysis using convolutional neural networks
(Elsevier Science, 2022-05)
In recent years, convolutional neural networks and deep neural networks have been used extensively in various fields of analytical chemistry. The use of these models for calibration tasks has been highly effective; however, ...
A neural network scheme for long-term forecasting of chaotic time series
(Springer Science+Business Media, 2011)