Marcelo A. C. Fernandes

Orcid: 0000-0001-7536-2506

Affiliations:
  • Instituto Federal do Rio Grande do Norte, Natal, RN, Brazil
  • Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil


According to our database1, Marcelo A. C. Fernandes authored at least 58 papers between 2000 and 2024.

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

Timeline

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Legend:

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In proceedings 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Utilizing chaos game representation for enhanced classification of SARS-CoV-2 variants with stacked sparse autoencoders.
Neural Comput. Appl., November, 2024

Application of Fuzzy Logic for Horizontal Scaling in Kubernetes Environments within the Context of Edge Computing.
Future Internet, September, 2024

Self-organizing maps applied to the analysis and identification of characteristics related to air quality monitoring stations and its pollutants.
Neural Comput. Appl., July, 2024

SHA-256 Hardware Proposal for IoT Devices in the Blockchain Context.
Sensors, June, 2024

A New and Lightweight R-Peak Detector Using the TEDA Evolving Algorithm.
Mach. Learn. Knowl. Extr., June, 2024

Virtualized 5G Tesbed using OpenAirInterface: Tutorial and Benchmarking Tests.
J. Internet Serv. Appl., 2024

ML-based inter-slice load balancing control for proactive offloading of virtual services.
Comput. Networks, 2024

2023
New proposal of viral genome representation applied in the classification of SARS-CoV-2 with deep learning.
BMC Bioinform., December, 2023

Deepvirusclassifier: a deep learning tool for classifying SARS-CoV-2 based on viral subtypes within the coronaviridae family.
BMC Bioinform., December, 2023

Overcoming Challenges in DevOps Education through Teaching Methods.
CoRR, 2023

Proactive ML-Assisted and Quality-Driven Slice Application Service Management to Keep QoE in 5G Mobile Networks.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2023

Machine Learning Applied to Anomaly Detection on 5G O-RAN Architecture.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Overcoming Challenges in DevOps Education through Teaching Method.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2023

2022
Prediction Techniques on FPGA for Latency Reduction on Tactile Internet.
Sensors, 2022

FPGA Applied to Latency Reduction for the Tactile Internet.
Sensors, 2022

Convolutional Neural Network Applied to SARS-CoV-2 Sequence Classification.
Sensors, 2022

Proposal of a Real-Time Test Platform for Tactile Internet Systems.
Sensors, 2022

Prototyping near-real time RIC O-RAN xApps for Flexible ML-based Spectrum Sensing.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2022

DevOps Education: An Interview Study of Challenges and Recommendations.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2022

2021
Fully Parallel Implementation of Otsu Automatic Image Thresholding Algorithm on FPGA.
Sensors, 2021

A full-parallel implementation of Self-Organizing Maps on hardware.
Neural Networks, 2021

Hardware Architecture Proposal for TEDA Algorithm to Data Streaming Anomaly Detection.
IEEE Access, 2021

User Driven FPGA-Based Design Automated Framework of Deep Neural Networks for Low-Power Low-Cost Edge Computing.
IEEE Access, 2021

FPGA Implementation of the Adaptive Digital Beamforming for Massive Array.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Analyzing DevOps Teaching Strategies: An Initial Study.
Proceedings of the 35th Brazilian Symposium on Software Engineering, 2021

Optimization of MLP Neural Networks in 8-bit Microcontrollers using Program Memory.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Novel Training Strategy for Deep Learning Model Compression Applied to Viral Classifications.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Proposal of Takagi-Sugeno Fuzzy-PI Controller Hardware.
Sensors, 2020

Proposal of the CAD System for Melanoma Detection Using Reconfigurable Computing.
Sensors, 2020

Real-time Neural Networks Implementation Proposal for Microcontrollers.
CoRR, 2020

Reconfigurable Computing Applied to Latency Reduction for the Tactile Internet.
CoRR, 2020

Parallel Implementation of K-Means Algorithm on FPGA.
IEEE Access, 2020

Challenges and Recommendations in DevOps Education: A Systematic Literature Review.
Proceedings of the 34th Brazilian Symposium on Software Engineering, 2020

Low Cost and Low Power Stacked Sparse Autoencoder Hardware Acceleration for Deep Learning Edge Computing Applications.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

A New Hardware Approach to Self-Organizing Maps.
Proceedings of the 31st IEEE International Conference on Application-specific Systems, 2020

2019
Parallel Implementation of Particle Swarm Optimization on FPGA.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Proposal of the Tactile Glove Device.
Sensors, 2019

A parallel implementation of sequential minimal optimization on FPGA.
Microprocess. Microsystems, 2019

A Survey and Taxonomy of FPGA-based Deep Learning Accelerators.
J. Syst. Archit., 2019

High-Performance Parallel Implementation of Genetic Algorithm on FPGA.
Circuits Syst. Signal Process., 2019

Application-Specific System Processor for the SHA-1 Hash Algorithm.
CoRR, 2019

Butterfly Neural Filter Applied to Beamforming.
IEEE Access, 2019

Parallel Implementation of Reinforcement Learning Q-Learning Technique for FPGA.
IEEE Access, 2019

Deep Neural Network Hardware Implementation Based on Stacked Sparse Autoencoder.
IEEE Access, 2019

2018
Adaptive Beamforming Applied to OFDM Systems.
Sensors, 2018

Validation of a Dynamic Planning Navigation Strategy Applied to Mobile Terrestrial Robots.
Sensors, 2018

Efficient 3D Objects Recognition Using Multifoveated Point Clouds.
Sensors, 2018

2016
Dynamic planning navigation strategy for mobile terrestrial robots.
Robotica, 2016

Fuzzy controller applied to electric vehicles with continuously variable transmission.
Neurocomputing, 2016

Problem-based learning applied to the artificial intelligence course.
Comput. Appl. Eng. Educ., 2016

2015
Beamforming and Power Control in Sensor Arrays Using Reinforcement Learning.
Sensors, 2015

2014
Platform for Real-Time Simulation of Dynamic Systems and Hardware-in-the-Loop for Control Algorithms.
Sensors, 2014

Parallel Fixed Point Implementation of a Radial Basis Function Network in an FPGA.
Sensors, 2014

Neural equalization applied to systems with bidimensional digital modulation.
Neural Comput. Appl., 2014

Collaborative reception technique in wireless sensor networks using adaptive antennas.
EURASIP J. Wirel. Commun. Netw., 2014

An adaptive equalizer for reliable transmissions in DVB-S2 satellite communications under ISI.
Proceedings of the IEEE Latin-America Conference on Communications, 2014

2002
Space-time processing for smart antennas in advanced receivers for the user terminal in 3G WCDMA systems.
IEEE Trans. Consumer Electron., 2002

2000
8-VSB channel coding analysis for DTV broadcast.
IEEE Trans. Consumer Electron., 2000


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