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Aplicação de machine learning para detecção de anomalias em rede SCADA
(Universidade Tecnológica Federal do ParanáPonta GrossaBrasilIndústria 4.0UTFPR, 2020-02-08)
SCADA plays an important role into industrial process. In the beginning, these systems were standalone models, with closed architectures and no external connectivity. Nowadays, SCADA needs connectivity and open systems and ...
Redutor para retrofitting CNC de uma fresadora manual
(Universidade Tecnológica Federal do ParanáPonta GrossaBrasilDepartamento Acadêmico de MecânicaEngenharia MecânicaUTFPR, 2018-06-28)
A machine of milling belong of Federal University of Technology - Câmpus Ponta Grossa was been parked. A student group mentored by professor Doctor Marcelo Vasconcelos de Carvalho determined to carry out a retrofitting in ...
An fMRI Normative Database for Connectivity Networks Using One-Class Support Vector Machines
(WILEY-LISS, 2009)
The application of functional magnetic resonance imaging (fMRI) in neuroscience studies has increased enormously in the last decade. Although primarily used to map brain regions activated by specific stimuli, many studies ...
The impact of functional connectivity changes on support vector machines mapping of fMRI data
(ELSEVIER SCIENCE BV, 2008)
Functional magnetic resonance imaging (fMRI) is currently one of the most widely used methods for studying human brain function in vivo. Although many different approaches to fMRI analysis are available, the most widely ...
Genetic machine learning approach for link quality prediction in mobile wireless sensor networks
(2014-01-01)
Establishing adequate RF (Radio Frequency) connectivity is the basic requirement for the proper operation of any wireless network. In a mobile wireless network it is a challenge for applications and protocols to deal with ...
On the training algorithms for Restricted Boltzmann Machine-Based Models
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2018-12-05)
Deep learning techniques have been studied extensively in the last years, due to its good results related to essential tasks on a large range of applications, such as speech and face recognition, as well as objects ...
Connections between cutting-pattern sequencing, VLSI design, and flexible machines
(Pergamon-Elsevier Science Ltd, 2002-10)
The minimization of open stacks problem (MOSP) arises on the sequencing of a set of cutting patterns in order to minimize the maximum number of open stacks around the cutting saw. A previous study formulated the problem ...
Power Quality Study and Analysis of Different Arc Welding Machines
(2018-04-01)
Electrical welding machines are among the most pollutant loads due to their strong nonlinear behavior. As a result, utilities have established new criteria for connecting welding machines in the grid. One approach that can ...