Payman Goodarzi

Orcid: 0000-0002-3937-1752

According to our database1, Payman Goodarzi authored at least 11 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Deep Neural Network Representation for Explainable Machine Learning Algorithms: A Method for Hardware Acceleration.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023
Comparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios.
CoRR, 2023

Deep convolutional neural networks for cyclic sensor data.
CoRR, 2023

Development of a bearing test-bed for acquiring data for robust and transferable machine learning.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

Comparison of Explainable Machine Learning Algorithms for Optimization of Virtual Gas Sensor Arrays.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

Comparing Different Feature Extraction Methods in Condition Monitoring Applications.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022
Towards Interpretable Machine Learning for Automated Damage Detection Based on Ultrasonic Guided Waves.
Sensors, 2022

Transfer Learning to Significantly Reduce the Calibration Time of MOS Gas Sensors.
Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2022

2021
Machine Learning based calibration time reduction for Gas Sensors in Temperature Cycled Operation.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

2013
Erratum: "an Energy Efficient Second-Order σδ modulator Based on the Power and Delay Optimization of CBSC IIR filter".
J. Circuits Syst. Comput., 2013

2012
An Energy Efficient Second-Order σδ modulator Based on the Power and Delay Optimization of CBSC IIR filter.
J. Circuits Syst. Comput., 2012


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