GI-RNASA - Artigos: Envíos recentes
Mostrando ítems 116-120 de 193
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Optimization of existing equations using a new genetic programming algorithm: application to the shear strength of reinforced concrete beams
(Elsevier, 2012-03-13)[Abstract] A method based on Genetic Programming (GP) to improve previously known empirical equations is presented. From a set of experimental data, the GP may improve the adjustment of such formulas through the symbolic ... -
Applied Computational Techniques on Schizophrenia Using Genetic Mutations
(Bentham, 2013-03-01)[Abstract] Schizophrenia is a complex disease, with both genetic and environmental influence. Machine learning techniques can be used to associate different genetic variations at different genes with a (schizophrenic or ... -
Net-net Auto machine learning (AutoML) prediction of complex ecosystems
(Nature, 2018-08-17)[Abstract] Biological Ecosystem Networks (BENs) are webs of biological species (nodes) establishing trophic relationships (links). Experimental confirmation of all possible links is difficult and generates a huge volume ... -
Automatic multiscale vascular image segmentation algorithm for coronary angiography
(Elsevier, 2018-09)[Abstract] Cardiovascular diseases, particularly severe stenosis, are the main cause of death in the western world. The primary method of diagnosis, considered to be the standard in the detection and quantification of ... -
Determining the burden of the family caregivers of people with neuromuscular diseases who use a wheelchair
(Wolters Kluwer Health, 2018-06)[Abstract] The present study provides a basic outline of the care and support that family caregivers offer to people affected by neuromuscular diseases. To determine the presence of burden in caregivers of people ...
