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An approach for coordinating of the cooperative mapping in a self-adaptive formation system based on a modification of the ant colony algorithm
(Universidade de São Paulo - USPUniversidade Federal de São Carlos - UFSCarCentro de Robótica de São Carlos - CROBSociedade Brasileira de Computação - SBCSociedade Brasileira de Automática – SBASão Carlos, 2014-10)
In this work, an approach for cooperative and distributed mapping in a self-adaptive formation system based on a modified version of the ant colony optimization algorithm is proposed. The strategy is distributed, decentralized, ...
Analysis of Students' Behavior through User Clustering in Online Learning Settings, Based on Self Organizing Maps Neural Networks
An accurate analysis of user behaviour in online learning environments is a useful means of early follow up of students, so that they can be better supported to improve their performance and achieve the expected competences. ...
Self-organizing map applied to the choice of internal standards for the determination of Cd, Pb, Sn, and platinum group elements by inductively coupled plasma mass spectrometry
(2021-10-01)
The behaviors of internal standards, according to different flow rates of the cell collision gas (He), were studied for the determination of Cd, Pb, Pd, Pt, Rh, and Sn in samples of fish and mollusks by inductively coupled ...
Load estimation for microgrid planning based on a self-organizing map methodology
(Elsevier, 2017)
tThis study presents a novel load estimation method for isolated communities that do not receive energyor only receive it for a limited time each day. These profiles have been used to determine the installedcapacity of ...
Human mimic color perception for segmentation of color images using a three-layered self-organizing map previously trained to classify color chromaticity
(Neural Computing and Applications, 2018)
Identification and Analysis of Electrical Storms Features Using Clustering Numerical MethodsIdentificação e Análise das Características de Tempestades Elétricas Utilizando Métodos Numéricos de Agrupamento
(Centro de Ciências Matemáticas e da Natureza, Instituto de Geociências, Universidade Feder, 2016)