Search Results for author: Elbert E. N. Macau

Found 6 papers, 3 papers with code

The effect of time delay for synchronisation suppression in neuronal networks

no code implementations30 Apr 2022 Matheus Hansen, Paulo R. Protachevicz, Kelly C. Iarosz, Ibere L. Caldas, Antonio M. Batista, Elbert E. N. Macau

We study the time delay in the synaptic conductance for suppression of spike synchronisation in a random network of Hodgkin Huxley neurons coupled by means of chemical synapses.

The starting dates of COVID-19 multiple waves

no code implementations3 Mar 2022 Paulo Roberto de Lima Gianfelice, Ricardo Sovek Oyarzabal, Americo Cunha Jr, Jose Mario Vicensi Grzybowski, Fernando da Conceição Batista, Elbert E. N. Macau

Considering Rio de Janeiro city (Brazil) as an example, the first diagnosis of this disease occurred in March 2020, but the exact moment when the local spread of the virus started is uncertain as the Brazilian epidemiological surveillance system was not widely prepared to detect suspected cases of COVID-19 at that time.

Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection

no code implementations13 Feb 2020 Fabricio A Breve, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau

Oscillators in the network representing the salient object in a given scene are phase synchronized, while no phase synchronization occurs for background objects.

Object

Global Fire Season Severity Analysis and Forecasting

1 code implementation11 Mar 2019 Leonardo N. Ferreira, Didier A. Vega-Oliveros, Liang Zhao, Manoel F. Cardoso, Elbert E. N. Macau

In this paper, we evaluate the possibility of using historical data from 2003 to 2017 of active fire detections (NASA's MODIS MCD14ML C6) and time series forecasting methods to estimate global fire season severity (FSS), here defined as the accumulated fire detections in a season.

Applications

The Effect of Time Series Distance Functions on Functional Climate Networks

2 code implementations8 Feb 2019 Leonardo N. Ferreira, Nicole C. R. Ferreira, Maria Livia L. M. Gava, Liang Zhao, Elbert E. N. Macau

In this context, functional climate networks can be constructed using a spatiotemporal climate dataset and a suitable time series distance function.

Data Analysis, Statistics and Probability Atmospheric and Oceanic Physics

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