David G. Thomas

According to our database, David G. Thomas authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

The Use of Triaxial Accelerometers and Machine Learning Algorithms for Behavioural Identification in Domestic Dogs (Canis familiaris): A Validation Study.

Cushla Redmond, Michelle Smit, Ina Draganova, Rene A. Corner-Thomas, David G. Thomas, Christopher J. Andrews

Sensors, September, 2024

How Lazy Are Pet Cats Really? Using Machine Learning and Accelerometry to Get a Glimpse into the Behaviour of Privately Owned Cats in Different Households.

Michelle Smit, Rene A. Corner-Thomas, Ina Draganova, Christopher J. Andrews, David G. Thomas

Sensors, April, 2024

2023

The Use of Triaxial Accelerometers and Machine Learning Algorithms for Behavioural Identification in Domestic Cats (Felis catus): A Validation Study.

Michelle Smit, Seer J. Ikurior, Rene A. Corner-Thomas, Christopher J. Andrews, Ina Draganova, David G. Thomas

Sensors, August, 2023

2022

Development of a Robotic Capsule for in vivo Sampling of Gut Microbiota.

Muhammad Rehan, Ibrahim Al-Bahadly, David G. Thomas, Ebubekir Avci

IEEE Robotics Autom. Lett., 2022

2021

Towards Gut Microbiota Sampling Using an Untethered Sampling Device.

Muhammad Rehan, Ibrahim Al-Bahadly, David G. Thomas, Ebubekir Avci

IEEE Access, 2021