Domenico Di Caro

Affiliations:
  • University of Salerno, Italy


According to our database1, Domenico Di Caro authored at least 12 papers between 2016 and 2022.

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

Timeline

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Bibliography

2022
Impedance Adaptation Technique to Improve Pipeline Communication Distance.
Proceedings of the IEEE International Symposium on Measurements & Networking, 2022

Improvement of Communication Distance for an Unconventional Channel.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

2020
Quality Assessment of the Inshell Hazelnuts Based on TD-NMR Analysis.
IEEE Trans. Instrum. Meas., 2020

A Networked Control System for Gas Pipeline Cathodic Protection.
IEEE Trans. Instrum. Meas., 2020

Proposal for a power line communication network using gas pipelines as channel and nodes supply.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Unconventional communication channels for smart sensors networking.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

2019
Smart meters communication using Gas pipelines as channel: feasibility study.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019

2018
Advanced TD-NMR based estimation of the inshell hazelnuts quality parameters.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

Towards a distributed monitoring system for gas pipeline cathodic protection.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

2017
Hazelnut Oil Classification by NMR Techniques.
IEEE Trans. Instrum. Meas., 2017

Using a SVD-based algorithm for T2 spectrum calculation in TD-NMR application to detect hidden defects in hazelnuts.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017

2016
Investigation of the NMR techniques to detect hidden defects in hazelnuts.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016


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