20 citations · 21 across the 5 of their papers we have counts for
5 papers
A framework for robotic arm pose estimation and movement prediction based on deep and extreme learning models
Iago Richard Rodrigues, Marrone Dantas, Assis Oliveira Filho +7
Human-robot collaboration has gained a notable prominence in Industry 4.0, as the use of collaborative robots increases efficiency and productivity in the automation process. Howev…
FCN-Pose: A Pruned and Quantized CNN for Robot Pose Estimation for Constrained Devices
Marrone Silvério Melo Dantas, Iago Richard Rodrigues, Assis Tiago Oliveira Filho +6
IoT devices suffer from resource limitations, such as processor, RAM, and disc storage. These limitations become more evident when handling demanding applications, such as deep lea…
The Greatest Teacher, Failure is: Using Reinforcement Learning for SFC Placement Based on Availability and Energy Consumption
Guto Leoni Santos, Theo Lynn, Judith Kelner +1
Software defined networking (SDN) and network functions virtualisation (NFV) are making networks programmable and consequently much more flexible and agile. To meet service level a…
Predicting Short-term Mobile Internet Traffic from Internet Activity using Recurrent Neural Networks
Guto Leoni Santos, Pierangelo Rosati, Theo Lynn +3
Mobile network traffic prediction is an important input in to network capacity planning and optimization. Existing approaches may lack the speed and computational complexity to acc…
A Standalone Markerless 3D Tracker for Handheld Augmented Reality
Joao Paulo Lima, Veronica Teichrieb, Judith Kelner
This paper presents an implementation of a markerless tracking technique targeted to the Windows Mobile Pocket PC platform. The primary aim of this work is to allow the development…