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Automatic clustering-based identification of autoregressive fuzzy inference models for time series
TLDR
We analyze the use of clustering methods for the automatic identification of fuzzy inference models for autoregressive prediction of time series. Expand
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Un entorno de simulación para sistemas de control basados en Lógica Difusa
Se describe la realizacion de una herramienta de CAD para el desarrollo de sistemas de control basados en Logica Difusa. La utilizacion de dicha herramienta facilita las distintas tareas queExpand
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Autoregressive time series prediction by means of fuzzy inference systems using nonparametric residual variance estimation
TLDR
We propose an automatic methodology framework for short- and long-term prediction of time series by means of fuzzy inference systems. Expand
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Mining and Control of Network Traffic by Computational Intelligence
TLDR
This monograph deals with applications of computational intelligence methods, with an emphasis on fuzzy techniques, to a number of current issues in measurement, analysis and control of traffic in the Internet. Expand
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Power-efficient focal-plane image representation for extraction of enriched Viola-Jones features
TLDR
This paper describes the use of a reconfigurable focal-plane processing array in order to achieve an image representation which dramatically reduces the computational load of the Viola-Jones object detection framework. Expand
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Enabling fuzzy technologies in high performance networking via an open FPGA-based development platform
TLDR
We introduce a development platform for fuzzy inference systems with applications to network traffic analysis and control. Expand
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Multi-input voltage and current-mode min/max circuits
-This paper presents briefly a review of the different algorithms and hardware implementations for multi-input min/max operators. This allow us to show how a clever utilization of MOS devices leadsExpand
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Summarization and Analysis of Network Traffic Flow Records
TLDR
A method that provides linguistic summaries of network traffic measurements as well as a procedure for finding hidden facts in network flow measurements in the form of fuzzy association rules is developed. Expand
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