Thelmo P. de Araújo

Orcid: 0000-0001-7064-9452

Affiliations:
  • State University of Ceará, Fortaleza, CE, Brazil
  • New York University, NY, USA (PhD 2003)


According to our database1, Thelmo P. de Araújo authored at least 12 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Aplicando Redes Neurais e Análise Temporal para Predição Adaptativa de Desempenho de Rede.
Proceedings of the 41st Brazilian Symposium on Computer Networks and Distributed Systems, 2023

Identification of High Delay Links in Internet Service Providers.
Proceedings of the 12th Latin-American Symposium on Dependable and Secure Computing, 2023

2021
An Adaptive Forecasting Model for Slice Allocation in Softwarized Networks.
IEEE Trans. Netw. Serv. Manag., 2021

2020
Improving DDoS Detection in IoT Networks Through Analysis of Network Traffic Characteristics.
Proceedings of the IEEE Latin-American Conference on Communications, 2020

Adaptive Model for Network Resources Prediction in Modern Internet Service Providers.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

2019
Recognition of Simple Handwritten Polynomials Using Segmentation with Fractional Calculus and Convolutional Neural Networks.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Computer Vision System with Deep Learning for Robotic Arm Control.
Proceedings of the Latin American Robotic Symposium, 2018

Electrocardiogram Fiducial Points Detection for Health Care Systems.
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018

2014
A texture analysis approach to supervised face segmentation.
Proceedings of the IEEE Symposium on Computers and Communications, 2014

Pixel Classification and Heuristics for Facial Feature Localization.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

2012
Face Segmentation Using Projection Pursuit for Texture Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

2007
A method using time series analysis for IEEE 802.11 WLANs channel forecasting.
Proceedings of the 2007 Euro American conference on Telematics and Information Systems, 2007


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