Network Filtering
Mostrando 25-31 de 31 artigos, teses e dissertações.
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25. HANDWRITING RECOGNITION / RECONHECIMENTO DE CARACTERES MANUSCRITOS
This work introduces an image processing methodology that, associated with a multi-level neural network of perceptrons, is able to isolate and recognize cursive handwritten characters. The character isolation technique makes use of fundamental geometric and topological aspectos of the characters. The work describe procedures to extract the characters skeleto
Publicado em: 1995
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26. ANALYSIS OF PLASTIC NEURAL NETWORK MODELLING APPROACH TO SIGNAL PROCESSING / ANÁLISE DE MODELOS PLÁSTICOS DE REDES NEURAIS PARA O PROCESSAMENTO DE SINAIS
Plastic neural network models are evaluated as an attractive neurocomputing approach to signal processing. Among these, the SONN model, as recently introduced by Tenorio and Lee, is reviewed and adopted as the basis for the implementation of an interactive network prototyping and analysis system, due to its reduced heuristics. Its use is exemplified in the t
Publicado em: 1992
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27. SIMULAÇÃO DE REDES COM LINHAS DE TRANSMISSÃO E CARGAS / TRANSMISSION LINE MODEL
This thesis introduces a metodology for the simulation of transmission lines, power generators, interconnnections and loads, base don digital filtering models. These models make intensive use of digital equivalent network concepts in order to solve the computability problem of the digital filter. The result of this work is a system that represents the discre
Publicado em: 1992
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28. DETECÇÃO E IDENTIFICAÇÃO DE ANORMALIDADES NA ESTIMAÇÃO DINÂMICA DE ESTADO EM SISTEMAS DE POTÊNCIA / DETECTION AND IDENTIFICATION OF ANOMALIES IN POWER SYSTEM DYNAMIC STATE ESTIMATION
This work presents a comparison between the performance of dynamic and tracking estimators, in power systems operating under quasi-static conditions, concerning their characteristics of forecasting and filtering. From this comparison, a new dynamic estimator which incorporates the main advantages of the previous estimators is proposed. Also, a new scheme of
Publicado em: 1987
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29. Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool.
AIMS: To determine if neural networks can detect diabetic features in fundus images and compare the network against an ophthalmologist screening a set of fundus images. METHODS: 147 diabetic and 32 normal images were captured from a fundus camera, stored on computer, and analysed using a back propagation neural network. The network was trained to recognise f
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30. The Fingerprint of Phantom Mutations in Mitochondrial DNA Data
Phantom mutations are systematic artifacts generated in the course of the sequencing process itself. In sequenced mitochondrial DNA (mtDNA), they generate a hotspot pattern quite different from that of natural mutations in the cell. To identify the telltale patterns of a particular phantom mutation process, one first filters out the well-established frequent
The American Society of Human Genetics.
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31. Neuropeptide Y functions as a facilitator of GDNF-induced budding of the Wolffian duct
Ureteric bud (UB) emergence from the Wolffian duct (WD), the initiating step in metanephric kidney morphogenesis, is dependent on GDNF; however, GDNF by itself is generally insufficient to induce robust budding of the isolated WD in culture. Thus, additional factors, presumably peptides or polypeptide growth factors, might be involved. Microarray data from i
Company of Biologists.