Sidney M. L. Lima

Orcid: 0000-0002-4350-9689

According to our database1, Sidney M. L. Lima authored at least 18 papers between 2008 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Antivirus solution to IoT malware detection with authorial next-generation sandbox.
J. Supercomput., January, 2025

2024
Antimalware applied to IoT malware detection based on softcore processor endowed with authorial sandbox.
J. Comput. Virol. Hacking Tech., November, 2024

Next-generation antivirus for JavaScript malware detection based on dynamic features.
Knowl. Inf. Syst., February, 2024

XAI-driven antivirus in pattern identification of citadel malware.
J. Comput. Sci., 2024

2023

Next-generation antivirus endowed with web-server Sandbox applied to audit fileless attack.
Soft Comput., February, 2023

2021
Artificial intelligence-based antivirus in order to detect malware preventively.
Prog. Artif. Intell., 2021

Next generation antivirus endowed with bitwise morphological extreme learning machines.
Microprocess. Microsystems, 2021

2020
Gauss-Seidel Extreme Learning Machines.
SN Comput. Sci., 2020

2019
Next Generation Antivirus Applied to Jar Malware Detection based on Runtime Behaviors using Neural Networks.
Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019

2018
Antivírus dotado de Rede Neural Artificial visando Detectar Malwares Preventivamente.
Braz. J. Inf. Syst., 2018

2016
Detection and classification of masses in mammographic images in a multi-kernel approach.
Comput. Methods Programs Biomed., 2016

2015
Morphological extreme learning machines applied to detect and classify masses in mammograms.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Fuzzy Morphological Extreme Learning Machines to detect and classify masses in mammograms.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
A methodology for classification of lesions in mammographies using Zernike Moments, ELM and SVM Neural Networks in a multi-kernel approach.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2012
Segmentation of Mammography by Applying Extreme Learning Machine in Tumor Detection.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

2009
Low Power RTL Exploration Mechanism Based on the Cache Parameters.
Proceedings of the ReConFig'09: 2009 International Conference on Reconfigurable Computing and FPGAs, 2009

2008
Energy consumption reduction mechanism by tuning cache configuration usign NIOS II processor.
Proceedings of the 21st Annual IEEE International SoC Conference, SoCC 2008, 2008


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