Lucas Bastos

Orcid: 0000-0003-0567-3645

According to our database1, Lucas Bastos authored at least 12 papers between 2016 and 2023.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Analysis of Electrical Signals by Machine Learning for Classification of Individualized Electronics on the Internet of Smart Grid Things (IoSGT) architecture.
J. Internet Serv. Appl., January, 2023

Predictive Fraud Detection: An Intelligent Method for Internet of Smart Grid Things Systems.
J. Internet Serv. Appl., January, 2023

A Gamification and Biofeedback-based Serious Game for Adherence to Physical Activity.
Proceedings of the International Wireless Communications and Mobile Computing, 2023

Energy Frauds Characterization based on Information Theory Quantifiers.
Proceedings of the International Wireless Communications and Mobile Computing, 2023

2022
Towards Automating the Integration of Legacy IEDs into Edge-Supported Internet of Smart Grid Things.
J. Internet Serv. Appl., 2022

Ensemble Learning Method for Human Identification in Wearable Devices.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

2021
Smart Human Identification System Based on PPG and ECG Signals in Wearable Devices.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

2020
Double Authentication Model based on PPG and ECG Signals.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

2019
Filtering Parameters Selection Method and Peaks Extraction for ECG and PPG Signals.
Proceedings of the 2019 IEEE Latin-American Conference on Communications, 2019

2017
An evaluation of sentiment analysis for mobile devices.
Soc. Netw. Anal. Min., 2017

2016
iFeel 2.0: A Multilingual Benchmarking System for Sentence-Level Sentiment Analysis.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Towards sentiment analysis for mobile devices.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016


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