Michael G. K. Jones

According to our database, Michael G. K. Jones authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

LoRa-based outdoor localization and tracking using unsupervised symbolization.

Khondoker Ziaul Islam, David Murray, Dean Diepeveen, Michael G. K. Jones, Ferdous Sohel

Internet Things, April, 2024

2023

Image patch-based deep learning approach for crop and weed recognition.

A. S. M. Mahmudul Hasan, Dean Diepeveen, Hamid Laga, Michael G. K. Jones, Ferdous Sohel

Ecol. Informatics, December, 2023

Machine learning-based LoRa localisation using multiple received signal features.

Khondoker Ziaul Islam, David Murray, Dean Diepeveen, Michael G. K. Jones, Ferdous Sohel

IET Wirel. Sens. Syst., August, 2023

Deep learning-based detection of aphid colonies on plants from a reconstructed <i>Brassica</i> image dataset.

Abderraouf Amrani, Ferdous Sohel, Dean Diepeveen, David Murray, Michael G. K. Jones

Comput. Electron. Agric., February, 2023

2022

Machine learning-based detection of freezing events using infrared thermography.

Sayma Shammi, Ferdous Sohel, Dean Diepeveen, Sebastian Zander, Michael G. K. Jones, Amanuel Bekuma, Ben Biddulph

Comput. Electron. Agric., 2022

2021

Weed Recognition using Deep Learning Techniques on Class-imbalanced Imagery.

A. S. M. Mahmudul Hasan, Ferdous Sohel, Dean Diepeveen, Hamid Laga, Michael G. K. Jones

CoRR, 2021

A survey of deep learning techniques for weed detection from images.

A. S. M. Mahmudul Hasan, Ferdous Sohel, Dean Diepeveen, Hamid Laga, Michael G. K. Jones

Comput. Electron. Agric., 2021