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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, ...
Neural network for seasonal climate precipitation prediction on the BrazilRede neural para previsão climática sazonal de precipitação no Brasil
(Universidade Federal de Santa Maria, 2020)
CLIMATE PRECIPITATION PREDICTION FOR SOUTH REGION BY NEURAL NETWORK SELF-CONFIGUREDPrevisão Climática de precipitação para a Região Sul por Rede Neural Autoconfigurada
(Universidade Federal de Santa Maria, 2016)
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 ...
Using of the Neural Network to predict the Stock Prices and the extent of their Disclosure in the Financial Statements
(Universidad del Zulia, 2019)
Robust timing and motor patterns by taming chaos in recurrent neural networks
(Nature Publishing Group, 2013-07)
The brain's ability to tell time and produce complex spatiotemporal motor patterns is critical for anticipating the next ring of a telephone or playing a musical instrument. One class of models proposes that these abilities ...
Online data visualization using the neural gas networkNEURAL NETWORKSNEURAL NETW
(EUROPEAN NEURAL NETWORK SOCIETY, 2017)
MicroRNAs and the neural crest: From induction to differentiation
(Elsevier Science, 2018-12)
MicroRNAs are small noncoding RNAs that can control gene expression by base pairing to partially complementary mRNAs. Regulation by microRNAs plays essential roles in diverse biological processes such as neural crest ...
Segmentation of central nervous system tumor images with neural networks
(Facultad Experimental de Ciencias de la Universidad del Zulia, 2011)