Élisson da Silva Rocha

Orcid: 0000-0002-7742-2995

Affiliations:
  • University of Pernambuco, Recife, Brazil


According to our database1, Élisson da Silva Rocha authored at least 17 papers between 2017 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Multi-objective Service Function Chain placement in 5G cellular networks based on meta-heuristic approach.
Simul. Model. Pract. Theory, 2024

2023
Predictive Maintenance Model Based on Anomaly Detection in Induction Motors: A Machine Learning Approach Using Real-Time IoT Data.
CoRR, 2023

A Mapping Study of Machine Learning Methods for Remaining Useful Life Estimation of Lead-Acid Batteries.
CoRR, 2023

Anomaly Detection in Industrial Machinery Using IoT Devices and Machine Learning: A Systematic Mapping.
IEEE Access, 2023

Optimized Pallet Localization Using RGB-D Camera and Deep Learning Models.
Proceedings of the 19th IEEE International Conference on Intelligent Computer Communication and Processing, 2023

2022
On usage of artificial intelligence for predicting mortality during and post-pregnancy: a systematic review of literature.
BMC Medical Informatics Decis. Mak., 2022

Service Function Chain Placement in Distributed Scenarios: A Systematic Review.
J. Netw. Syst. Manag., 2022

2021
Optimizing NFV placement for distributing micro-data centers in cellular networks.
J. Supercomput., 2021

Aggregating data center measurements for availability analysis.
Softw. Pract. Exp., 2021

Benchmarking Machine Learning Models to Assist in the Prognosis of Tuberculosis.
Informatics, 2021

2020
How do checkpoint mechanisms and power infrastructure failures impact on cloud applications?
Int. J. Grid Util. Comput., 2020

Analyzing the Impact of Micro Data Centers Failures in Cellular Networks: a Road Race Study.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks.
Sensors, 2019

Optimizing Resource Availability in Composable Data Center Infrastructures.
Proceedings of the 9th Latin-American Symposium on Dependable Computing, 2019

2018
Detecting Epileptic Seizures Using Deep Learning with Cloud and Fog Computing.
Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

Developing an e-Health System Based on IoT, Fog and Cloud Computing.
Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

2017
Analyzing the impact of power infrastructure failures on cloud application availability.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017


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