Matheus F. Torquato

Orcid: 0000-0001-6356-3538

Affiliations:
  • Swansea University, College of Engineering, UK


According to our database1, Matheus F. Torquato authored at least 16 papers between 2016 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

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

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

2021
Survey of Energy Harvesting Technologies for Wireless Sensor Networks.
IEEE Access, 2021

Multi-Objective Optimization of Electric Arc Furnace Using the Non-Dominated Sorting Genetic Algorithm II.
IEEE Access, 2021

Cascade Optimisation of Battery Electric Vehicle Powertrains.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

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

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

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

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

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

2016
Emergeables: Deformable Displays for Continuous Eyes-Free Mobile Interaction.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016


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