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Monitoramento proativo do ambiente de rede utilizando o software Zabbix
(Universidade Tecnológica Federal do ParanáPonta GrossaBrasilDepartamento Acadêmico de InformáticaTecnologia em Análise e Desenvolvimento de SistemasUTFPR, 2016-05-18)
This work aims to demonstrate the solution for proactive monitoring of the network environment using the Zabbix tool. The network structure consists of one Main Management Server , where will be installed Zabbix Server and ...
A Probabilistic Neural Network Applied In Monitoring Tool Wear In The End Milling Operation Via Acoustic Emission And Cutting Power Signals
(Taylor & Francis IncPhiladelphia, 2016)
Non-destructive evaluation tool for monitoring and detection of structural damage by using neural network.
(Soc Experimental Mechanics Inc, 2014)
Chlorophyll a spatial inference using artificial neural network from multispectral images and in situ measurements
(2013-04-01)
Considering the importance of monitoring the water quality parameters, remote sensing is a practicable alternative to limnological variables detection, which interacts with electromagnetic radiation, called optically active ...
Chlorophyll a spatial inference using artificial neural network from multispectral images and in situ measurements
(2013-04-01)
Considering the importance of monitoring the water quality parameters, remote sensing is a practicable alternative to limnological variables detection, which interacts with electromagnetic radiation, called optically active ...
A prognostics approach based on the evolution of damage precursors using dynamic Bayesian networks
(SAGE, 2016)
During the lifetime of a component, microstructural changes emerge at its material level and evolve through time.
Classical empirical degradation models (e.g. Paris Law in fatigue crack growth) are usually established ...
On the usage of generative models for network anomaly detection in multivariate time-series.
(ACM, 2020)
Despite the many attempts and approaches for anomaly detection explored over the years, the automatic detection of rare events in data communication networks remains a complex problem. In this paper we introduce Net-GAN, ...
Using model updating technique to train neural network for fault detection
(1997-01-01)
Vibration monitoring and fault detection of components in manufacturing plants involve a detailed analysis of a collection of vibration data in order to establish a correlation among changes of the measured data and the ...
Avaliação da maturidade em instituição pública: utilizando gerenciamento e monitoramento de redes com software livreMaturity assessment in a public institution using free software network management and monitoring
(Universidade Federal do ParáBrasilInstituto de TecnologiaUFPAPrograma de Pós-Graduação em Engenharia de Processos, 2021)