Automation in fault detection using neural network and model updating

One of the main objectives of this study was to associate the influence of run-off and leaching as pathways of pesticide contamination into surrounding water bodies on

This paper describes the process of modelling tourism demand for the north of Portugal, using an artificial neural network model. Data used in the time series was

This study presents an approach for fault detection and classification in a DC drive system. The fault is detected by a classical Luenberger observer. After the fault detection,

Os antirretrovirais indicados para o tratamento pela infecção pelo HIV incluem os inibidores nucleosídeos e nucleotídeos da transcriptase reversa, inibidores não nucleosídeos

Although the problem of training a hardlimit neural network is NP-Complete, our algorithm based on mathematical programming, a mixed integer linear model (MILP), takes few seconds

The fact that there was a statistically significant difference between the means of plaque index and bleeding on probing obtained at baseline and after 15 days and after 30 days, and

The hypotheses are that systolic and diastolic BP decrease after resistance exercise performed with 30 and 90 seconds of rest interval; however, greater responses

This in vitro study tested the null hypotheses that there is no difference among the wear resistance of one conventional (Trubyte Biotone) and two high-strength PMMA denture