Liam A. Marsh

Orcid: 0000-0002-4302-7487

According to our database1, Liam A. Marsh authored at least 10 papers between 2015 and 2022.

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

Timeline

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Links

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Bibliography

2022
Magnetic Induction Spectroscopy Data of Buried Objects.
Dataset, May, 2022

Classification of batteries in waste streams using magnetic induction spectroscopy.
Proceedings of the IEEE Sensors Applications Symposium, 2022

2021
Detection of Metallic Objects in Mineralized Soil Using Magnetic Induction Spectroscopy.
IEEE Trans. Geosci. Remote. Sens., 2021

2019
Combining Electromagnetic Spectroscopy and Ground-Penetrating Radar for the Detection of Anti-Personnel Landmines.
Sensors, 2019

2016
Evaluation of the thin-skin approximation boundary element method for electromagnetic induction scattering problems.
Proceedings of the IEEE Sensors Applications Symposium, 2016

Spectroscopic identification of anti-personnel mine surrogates from planar sensor measurements.
Proceedings of the 2016 IEEE SENSORS, Orlando, FL, USA, October 30 - November 3, 2016, 2016

2015
Measurement system for determining the magnetic polarizability tensor of small metal targets.
Proceedings of the IEEE Sensors Applications Symposium, 2015

Rapid non-contact relative permittivity measurement of fruits and vegetables using magnetic induction spectroscopy.
Proceedings of the IEEE Sensors Applications Symposium, 2015

Design of electromagnetic sensor arrays optimised for inversion of the magnetic polarisability tensor.
Proceedings of the IEEE Sensors Applications Symposium, 2015

Determination of material and geometric properties of metallic objects using the magnetic polarisability tensor.
Proceedings of the IEEE Sensors Applications Symposium, 2015


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