activity
20162025
most citedWhen climate variables improve the dengue forecasting: a machine learning approach

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2025

A Unified Theory for Transient Synchronization Stability Analysis of Renewable Dominated Power Systems

Meng Zhan, Miao Han, Yayao Zhang +4

The change of electric power generation - from synchronous generator (SG) to converter - is generally regarded as the second revolution of power system. Different from rotor swing…

physics.ao-ph2025

Predicting temperatures in Brazilian states capitals via Machine Learning

Sidney T. da Silva, Enrique C. Gabrick, Ana Luiza R. de Moraes +4

Climate change refers to substantial long-term variations in weather patterns. In this work, we employ a Machine Learning (ML) technique, the Random Forest (RF) algorithm, to forec…

physics.bio-ph2024★ 2 cited

When climate variables improve the dengue forecasting: a machine learning approach

Sidney T. da Silva, Enrique C. Gabrick, Paulo R. Protachevicz +4

Dengue is a viral vector-borne infectious disease that affects many countries worldwide, infecting around 390 million people per year. The main outbreaks occur in subtropical and t…

physics.bio-ph2024

Spiral wave dynamics in a neuronal network model

Diogo L. M. Souza, Fernando S. Borges, Enrique C. Gabrick +8

Spiral waves are spatial-temporal patterns that can emerge in different systems as heart tissues, chemical oscillators, ecological networks and the brain. These waves have been ide…

q-bio.NC2016

Suppression of neuronal phase synchronisation in cat cerebral cortex

Ewandson L. Lameu, Fernando S. Borges, Rafael R. Borges +5

We have studied effects of perturbations on the cat cerebral cortex. According to the literature, this cortex structure can be described by a clustered network. This way, we constr…