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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 ...
Application and characterization of metamodels based on artificial neural networks for building performance simulation: A systematic review
(Elsevier Science SA, 2020-06-15)
In most of the countries, buildings are often one of the major energy consumers, leading to the necessity of achieving sustainable building designs, and to the mandatory use of building performance simulation (BPS) tools ...
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 ...
Novel chemometric strategy based on the application of artificial neural networks to crossed mixture design for the improvement of recombinant protein production in continuous culture
(Elsevier Science, 2009-09)
The optimal blends of six compounds that should be present in culture media used in recombinant protein production were determined by means of artificial neural networks (ANN) coupled with crossed mixture experimental ...
Localizing and quantifying the intra-monomer contributions to the glass transition temperature using artificial neural networks
(Elsevier, 2020-08)
We used fully connected artificial neural networks (ANN) to localize and quantify, based on the monomer structure of several polymers, the specific features responsible for their observed glass transition temperatures (Tg). ...
Neural input space mapping optimization based on nonlinear two-layer perceptrons with optimized nonlinearity
(Int. J. RF and Microwave CAE, 2013)