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A comparative study of machine learning classifiers for electric load disaggregation based on an extended nilm dataset
(2021-08-15)
The appliance evaluation and the power consumption consciousness are becoming essential for improving demand management and power grid enhancement. Load disaggregation becomes a promising engine for this goal, and some ...
Fuzzy logic to predict thermal damages of ground parts
(2010-07-20)
One of the critical problems in implementing an intelligent grinding process is the automatic detection of workpiece surface burn. This work uses fuzzy logic as a tool to classify and predict burn levels in the grinding ...
Application of neuro-fuzzy inference system on wood identification
(2014-01-01)
Searching for systems with intelligent, flexible, and self-adjusting solutions on imaging, which could provide the contraction of the human operators' presence, a range of techniques is found. Each one of them can control ...
Anfis applied to the prediction of surface roughness in grinding of advanced ceramics
(2011-12-01)
This paper introduces a methodology for predicting the surface roughness of advanced ceramics using Adaptive Neuro-Fuzzy Inference System (ANFIS). To this end, a grinding machine was used, equipped with an acoustic emission ...
New contributions to the determination of resonance frequencies of rectangular microstrip antennas by neural networks
(2008-12-01)
This paper uses artificial neural networks (ANN) to compute the resonance frequencies of rectangular microstrip antennas (MSA), used in mobile communications. Perceptron Multi-layers (PML) networks were used, with the ...
Fault location in underground systems through optimum-path forest
(2011-12-21)
In this paper we propose an accurate method for fault location in underground distribution systems by means of an Optimum-Path Forest (OPF) classifier. We applied the Time Domains Reflectometry method for signal acquisition, ...
Fast non-technical losses identification through Optimum-Path Forest
(2009-12-09)
Fraud detection in energy systems by illegal consumers is the most actively pursued study in non-technical losses by electric power companies. Commonly used supervised pattern recognition techniques, such as Artificial ...
Pattern recognition structured heuristics methods for image processing in mobile robot navigation
(2010-12-01)
In this project, the main focus is to apply image processing techniques in computer vision through an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well as ...