Nikolaos Karagiorgos

Orcid: 0000-0003-2278-9631

Affiliations:
  • Aristotle University of Thessaloniki, Greece


According to our database1, Nikolaos Karagiorgos authored at least 15 papers between 2017 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Acoustic Leak Localization Method for Pipelines in High-Noise Environment Using Time-Frequency Signal Segmentation.
IEEE Trans. Instrum. Meas., 2022

A Statistical Approach for Leak Monitoring of Highly Noisy Metallic Pipelines.
IEEE Trans. Instrum. Meas., 2022

2021
Acoustic leak localization method based on signal segmentation and statistical analysis.
Proceedings of the 10th International Conference on Modern Circuits and Systems Technologies, 2021

Applying One Class Classification for Leak Detection in Noisy Industrial Pipelines.
Proceedings of the 10th International Conference on Modern Circuits and Systems Technologies, 2021

Dealing with stochastic signals and physical phenomena impacting pipeline leak localization accuracy.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

An RMS-based Approach for Leak Monitoring in Noisy Industrial Pipelines.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

2020
Applying the Power Contributors Method in a complex CMOS cell.
Proceedings of the 9th International Conference on Modern Circuits and Systems Technologies, 2020

Machine Learning Model Comparison for Leak Detection in Noisy Industrial Pipelines.
Proceedings of the 9th International Conference on Modern Circuits and Systems Technologies, 2020

Defining thresholds for leak detection parameters through statistical analysis of the noise in water/gas pipelines.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

2019
Pipeline Leak Detection in Noisy Environment.
Proceedings of the 8th International Conference on Modern Circuits and Systems Technologies, 2019

Application of the power contributors method for the AOI22 CMOS cell.
Proceedings of the 8th International Conference on Modern Circuits and Systems Technologies, 2019

2018
An Evaluation of the Equivalent Inverter Modeling Approach.
Circuits Syst. Signal Process., 2018

Evaluation of an Artificial Neural Network Approach for Timing Modeling of CMOS Gates.
Proceedings of the 28th International Symposium on Power and Timing Modeling, 2018

Equivalent inverter-based characterization tool for nano-scale CMOS digital cells: Non-linear-delay-models evaluation.
Proceedings of the 7th International Conference on Modern Circuits and Systems Technologies, 2018

2017
An approach for estimating adulteration of virgin olive oil with soybean oil using image analysis.
Proceedings of the 6th International Conference on Modern Circuits and Systems Technologies, 2017


  Loading...