Defining thresholds for leak detection parameters through statistical analysis of the noise in water/gas pipelines. - Dimitris Kampelopoulos; George-Napoleon Papastavrou; George-Panagiotis Kousiopoulos; Nikolaos Karagiorgos; Dimitrios Porlidas; Spyridon Nikolaidis 001 (I2MTC, 2020)

Machine Learning Model Comparison for Leak Detection in Noisy Industrial Pipelines. - Dimitris Kampelopoulos; George-Napoleon Papastavrou; George-Panagiotis Kousiopoulos; Nikolaos Karagiorgos; Sotirios K. Goudos; Spyridon Nikolaidis 001 (MOCAST, 2020)

An RMS-based Approach for Leak Monitoring in Noisy Industrial Pipelines. - Dimitrios Kampelopoulos; Nikolaos Karagiorgos; George-Panagiotis Kousiopoulos; Dimitrios Porlidas; Vasileios Konstantakos; Spyridon Nikolaidis 001 (I2MTC, 2021)

A Statistical Approach for Leak Monitoring of Highly Noisy Metallic Pipelines. - Dimitrios Kampelopoulos; George-Napoleon Papastavrou; Nikolaos Karagiorgos; George-Panagiotis Kousiopoulos; Dimitrios Porlidas; Vasileios Konstantakos; Spyridon Nikolaidis 001 (IEEE Trans. Instrum. Meas., 2022)