Igor D. S. Miranda

Orcid: 0000-0002-8555-9609

According to our database1, Igor D. S. Miranda authored at least 18 papers between 2009 and 2024.

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Bibliography

2024
LogicNets vs. ULEEN : Comparing two novel high throughput edge ML inference techniques on FPGA.
Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

2023
ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks.
ACM Trans. Archit. Code Optim., December, 2023

A conditional branch predictor based on weightless neural networks.
Neurocomputing, October, 2023

Accelerometer-Based Bed Occupancy Detection for Automatic, Non-Invasive Long-Term Cough Monitoring.
IEEE Access, 2023

Dendrite-inspired Computing to Improve Resilience of Neural Networks to Faults in Emerging Memory Technologies.
Proceedings of the IEEE International Conference on Rebooting Computing, 2023

An FPGA-Based Weightless Neural Network for Edge Network Intrusion Detection.
Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

COIN: Combinational Intelligent Networks.
Proceedings of the 34th IEEE International Conference on Application-specific Systems, 2023

2022
Automatic Non-Invasive Cough Detection based on Accelerometer and Audio Signals.
J. Signal Process. Syst., 2022

A WiSARD-based conditional branch predictor.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022


Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks.
Proceedings of the 33rd IEEE International Conference on Application-specific Systems, 2022

Weightless Neural Networks for Efficient Edge Inference.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021
Deep Neural Network Based Cough Detection Using Bed-Mounted Accelerometer Measurements.
Proceedings of the IEEE International Conference on Acoustics, 2021

Machine Learning Prediction of Hospitalization due to COVID-19 based on Self-Reported Symptoms: A Study for Brazil.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
An FPGA-Oriented FFT Algorithm for Sigma-Delta Signals.
Circuits Syst. Signal Process., 2020

2019
A Comparative Study of Features for Acoustic Cough Detection Using Deep Architectures.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2009
ASIC design of a novel high performance neuroprocessor architecture for multi layered perceptron networks.
Proceedings of the 22st Annual Symposium on Integrated Circuits and Systems Design: Chip on the Dunes, 2009


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