127 citations · 197 across the 10 of their papers we have counts for
10 papers
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments
Mohammad Etemad, Nader Zare, Mahtab Sarvmaili +3
Unmanned Surface Vehicles technology (USVs) is an exciting topic that essentially deploys an algorithm to safely and efficiently performs a mission. Although reinforcement learning…
A distance-based tool-set to track inconsistent urban structures through complex-networks
Gabriel Spadon, Bruno B. Machado, Danilo M. Eler +1
Complex networks can be used for modeling street meshes and urban agglomerates. With such a model, many aspects of a city can be investigated to promote a better quality of life to…
A smartphone application to measure the quality of pest control spraying machines via image analysis
Bruno B. Machado, Gabriel Spadon, Mauro S. Arruda +3
The need for higher agricultural productivity has demanded the intensive use of pesticides. However, their correct use depends on assessment methods that can accurately predict how…
Complex Network Tools to Understand the Behavior of Criminality in Urban Areas
Gabriel Spadon, Lucas C. Scabora, Marcus V. S. Araujo +5
Complex networks are nowadays employed in several applications. Modeling urban street networks is one of them, and in particular to analyze criminal aspects of a city. Several rese…
BioLeaf: a professional mobile application to measure foliar damage caused by insect herbivory
Bruno Machado, Jonatan Orue, Mauro Arruda +7
Soybean is one of the ten greatest crops in the world, answering for billion-dollar businesses every year. This crop suffers from insect herbivory that costs millions from producer…
A Complex Network Approach for Nanoparticle Agglomeration Analysis in Nanoscale Images
Bruno Brandoli, Leonardo Scabini, Jonathan Orue +5
Complex networks have been widely used in science and technology because of their ability to represent several systems. One of these systems is found in Biochemistry, in which the…
Texture descriptor combining fractal dimension and artificial crawlers
Wesley Nunes Gonçalves, Bruno Brandoli Machado, Odemir Martinez Bruno
Texture is an important visual attribute used to describe images. There are many methods available for texture analysis. However, they do not capture the details richness of the im…
Material quality assessment of silk nanofibers based on swarm intelligence
Bruno Brandoli Machado, Wesley Nunes Gonçalves, Odemir Martinez Bruno
In this paper, we propose a novel approach for texture analysis based on artificial crawler model. Our method assumes that each agent can interact with the environment and each oth…
Image decomposition with anisotropic diffusion applied to leaf-texture analysis
Bruno Brandoli Machado, Wesley Nunes Gonçalves, Odemir Martinez Bruno
Texture analysis is an important field of investigation that has received a great deal of interest from computer vision community. In this paper, we propose a novel approach for te…
Spatiotemporal Gabor filters: a new method for dynamic texture recognition
Wesley Nunes Gonçalves, Bruno Brandoli Machado, Odemir Martinez Bruno
This paper presents a new method for dynamic texture recognition based on spatiotemporal Gabor filters. Dynamic textures have emerged as a new field of investigation that extends t…