Network Filtering
Mostrando 1-12 de 31 artigos, teses e dissertações.
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1. Breast Cancer Prediction Using Dominance-based Feature Filtering Approach: A Comparative Investigation in Machine Learning Archetype
Abstract Breast cancer is the most commonly witnessed cancer amongst women around the world. Computer aided diagnosis (CAD) have been playing a significant role in early detection of breast tumors hence to curb the overall mortality rate. This work presents an enhanced empirical study of impact of dominance-based filtering approach on performances of variou
Braz. arch. biol. technol.. Publicado em: 25/11/2019
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2. Stem Modelling of Eucalyptus by Terrestrial Laser Scanning
ABSTRACT The objective of this work was to obtain the stem volume from 3D-cloud points generated by terrestrial laser scanning in Eucalyptus stands. The processing started with using algorithms for tree detection in plantation (TDP) and stem filtering (Filter Dmax). Then, the acquisition of the total height was made semi-automatically and tridimensional mode
Floresta Ambient.. Publicado em: 22/08/2019
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3. Comparing the Performance of Ground Filtering Algorithms for Terrain Modeling in a Forest Environment Using Airborne LiDAR Data
ABSTRACT The aim of this study was to evaluate the performance of four ground filtering algorithms to generate digital terrain models (DTMs) from airborne light detection and ranging (LiDAR) data. The study area is a forest environment located in Washington state, USA with distinct classes of land use and land cover (e.g., shrubland, grassland, bare soil, an
Floresta Ambient.. Publicado em: 01/02/2018
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4. A System Based on Artificial Neural Networks for Automatic Classification of Hydro-generator Stator Windings Partial Discharges
Abstract Partial discharge (PD) monitoring is widely used in rotating machines to evaluate the condition of stator winding insulation, but its practice on a large scale requires the development of intelligent systems that automatically process these measurement data. In this paper, it is proposed a methodology of automatic PD classification in hydro-generato
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2017-09
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5. Improvement of Circularly Polarized Slot-Patch Antenna Parameters by Using Electromagnetic Band Gap Structures
Abstract This paper is devoted to the design of a novel Electromagnetic Band Gap (EBG) circularly polarized slot-patch antenna in multilayered configuration. The operating frequency band can be controlled via the disk radius and adjusting the slit lengths. An arrangement combining the circular slot-patch antenna design and feeding sources included are consid
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2016-12
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6. Tidal and sub-tidal sea level variability at the northern shelf of the Brazilian Northeast Region
ABSTRACT A characterization of the sea level variability at tidal and sub-tidal frequencies at the northern shore of the Brazilian Northeast shelf for the period 2009-2011 is presented. The sea level data used was obtained from the Permanent Geodetic Tide Network from the Brazilian Institute of Geography and Statistics for the Fortaleza gauge station. Local
An. Acad. Bras. Ciênc.. Publicado em: 25/08/2016
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7. Instrumentação e identificação de um ambiente predial visando controle preditivo do conforto térmico / Instrumentation and building identification aiming predictive control of thermal comfort
The technological basis of Ambient Intelligence is a network of processing units that collect sensor information, process them and act on the environment through actuators, providing the occupants a diversity of services. In this scenario, this manuscript presents a first-principles structured identification approach for a thermal environment consisting of a
Publicado em: 2010
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8. Geração e avaliação de produtos híbridos CBERS-2B para a identificação de fragmentos de vegetação arbórea / Generation and evaluation of CBERS-2B hybrid products for the identification of arboreal vegetation fragments
This study aims to evaluate two hybrid CBERS-2B products of 2.5 m and 10 m spatial resolution, for mapping forest fragments at Ibitinga Sao Paulo state, Brazil. In order to reduce the blurring effect in CBERS-2B images, the restoration methods Modified Inverse Filtering, Richardson-Lucy, Modified Richardson-Lucy and ones based on POCS theory and neural netwo
Publicado em: 2010
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9. Filtragem de sistemas discretos com parametros sujeitos a saltos markovianos / Filtering of discrete-time Markov jump linear systems Markov jump linear systems
This thesis addresses the H2 and Hoo filtering design problem of discrete-time Markov jump linear systems. First, under the assumption that the Markov parameter is measurable, we provide the characterization of all filters such that the estimation errar remains bounded by a given narm leveI, yielding the complete solution of the mode-dependent filtering desi
Publicado em: 2007
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10. Application of data mining techniques to TCP/IP network traffic logs analysis / Aplicação de técnicas de data mining para a análise de logs de trafégo TCP/IP
Since the popularization of the Internet in recent years, the amount and variety of computer network services has greatly increased. At the same time new methods to commit crimes using these services appeared, mostly by attempting intrusion or compromising networks. Logging network and application activities through collection and storing of network logs is
Publicado em: 2007
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11. CobMiner - Mineração de Padrões Arborescentes com Restrições
Most work on pattern mining focus on simple data structures like itemsets or sequences of itemsets. However, a lot of recent applications dealing with complex data like chemical compounds, protein structure, social network, XML and Web Log databases, require much more sophisticated data structures (trees or graphs) for their specification. Here, interesting
Publicado em: 2007
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12. Recurrent neural networks for prediction of short and long memory time series / Modelos de redes neurais recorrentes para previsão de series temporais de memorias curta e longa
Forecasting of time series is a topic of great interest nowadays. To do so, the data generating process needs to be estimated with a good degree of accuracy. In the last years, artificial neural networks are becoming more important in the statistical community. The more basic structure of a neural network, the feedforward neural nets, without feedback, can b
Publicado em: 2005