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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)
Immunopeptidomic Data Integration to Artificial Neural Networks Enhances Protein-Drug Immunogenicity Prediction
(Frontiers Media S.A., 2020-06)
Recombinant DNA technology has, in the last decades, contributed to a vast expansion of the use of protein drugs as pharmaceutical agents. However, such biological drugs can lead to the formation of anti-drug antibodies ...
Prediction of wind pressure coefficients on building surfaces using artificial neural networks
(Elsevier Science Sa, 2018-01)
Knowing the pressure coefficient on building surfaces is important for the evaluation of wind loads and natural ventilation. The main objective of this paper is to present and to validate a computational modeling approach ...
Neural network-based analytical model to predict the shear strength of steel girders with a trapezoidal corrugated web
(USFQ PRESS, departamento editorial de la Universidad San Francisco de Quito USFQ, 2020)
How do forage availability and climate control sheep reproductive performance?. An analysis based on artificial neural networks and remotely sensed data
(Elsevier Science, 2008-09)
Environmental variability affects life history and fitness of both animal and plant species. For herbivores in particular, climate can have strong direct and indirect effects on demography, which tend to exacerbate in arid ...
Application of response surface methodology and artificial neural networks for optimization of recombinant Oryza sativa non-symbiotic hemoglobin 1 production by escherichia coli in medium containing byproduct glycerol
(Elsevier, 2010-10)
Production of recombinant Oryza sativa non-symbiotic hemoglobin 1 (OsHb1) by Escherichia coli was maximized in shake-flask cultures in media containing tryptone, yeast extract, sodium chloride and byproduct glycerol from ...
Knowledge Source Discovery: An experience using Ontologies, WordNet and Artificial Neural Networks
(Springer, 2009-09)
This paper describes our continuing research on ontology-based knowledge source discovery on the Semantic Web. The research documented here is focused on discovering distributed knowledge sources from a user query using ...
Potential of neural networks for structural damage localization
(USFQ PRESS, departamento editorial de la Universidad San Francisco de Quito USFQ, 2019)
ESTIMATING LATENT HEAT FLUX OVER RESERVOIRS USING AN ARTIFICIAL NEURAL NETWORKEstimativa de Fluxo de Calor Latente em Reservatórios Através de uma Rede Neural Artificial
(Universidade Federal de Santa Maria, 2016)
A flexible and practical approach for real-time weed emergence prediction based on Artificial Neural Networks
(2018-06)
Most popular emergence prediction models require species-specific population-based parameters to modulate thermal/hydrothermal accumulation. Such parameters are frequently unknown and difficult to estimate. Moreover, such ...