L
Laura Silva de Assis
Researcher at Centro Federal de Educação Tecnológica de Minas Gerais
Publications - 17
Citations - 174
Laura Silva de Assis is an academic researcher from Centro Federal de Educação Tecnológica de Minas Gerais. The author has contributed to research in topics: Wireless sensor network & Computer science. The author has an hindex of 4, co-authored 15 publications receiving 123 citations. Previous affiliations of Laura Silva de Assis include Centro Federal de Educação Tecnológica Celso Suckow da Fonseca.
Papers
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Journal ArticleDOI
Switch allocation problems in power distribution systems
Laura Silva de Assis,José Federico Vizcaı´no González,Fábio Luiz Usberti,Christiano Lyra,Celso Cavellucci,Fernando J. Von Zuben +5 more
TL;DR: In this paper, an optimization methodology to allocate switches on radially operated distribution networks is proposed to minimize the costs of allocation and energy not supplied, under reliability and flow capacity constraints.
Journal ArticleDOI
A redistricting problem applied to meter reading in power distribution networks
TL;DR: This work addresses the MCRP applied to power meter reading and two criteria are considered: compactness and homogeneity of districts and the proposed solution framework is based on a greedy randomized adaptive search procedure and multicriteria scalarization techniques to approximate the Pareto frontier.
Journal ArticleDOI
Efficient Volterra systems identification using hierarchical genetic algorithms
TL;DR: This work presents a robust hierarchical evolutionary technique which employs a heuristic initialization and provides robustness against noise in the Volterra series and improves on the computational complexity of existing methods without harming the identification accuracy.
Proceedings ArticleDOI
A framework for benchmarking machine learning methods using linear models for univariate time series prediction
Rebecca Salles,Laura Silva de Assis,Gustavo Paiva Guedes,Eduardo Bezerra,Fabio Porto,Eduardo Ogasawara +5 more
TL;DR: A framework for systematic benchmarking some MLM against well-known Linear Methods (LM), namely Polynomial Regression and models in the ARIMA family, used as BM for univariate time series prediction is implemented within the R-Package named TSPred.
Proceedings ArticleDOI
UnderApp: A System For Remote Monitoring Of Landslides Based On Wireless Underground Sensor Networks
Creyton Ferreira,Viviane F. Peixoto,Jorge Augusto G. de Brito,André Monteiro,Laura Silva de Assis,Felipe da Rocha Henriques +5 more
TL;DR: UnderApp is presented, a system for remote monitoring of landslides based on a Wireless Underground Sensor Network (WUSN) responsible to collect data in real time about rainfall and soil moisture, which are the main metrics for predicting the eminence of landslide.