Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Anniek Eerdekens

Faculty of Engineering and Architecture > Department of Information technology

Work address: Technologiepark Zwijnaarde 126
9052 Zwijnaarde
Email: Anniek.Eerdekens@UGent.be

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Internet of animals : unsupervised foaling detection based on accelerometer data

Timo De Waele (UGent) , Jaron Fontaine (UGent) , Anniek Eerdekens (UGent) , Margot Deruyck (UGent) , Jan Govaere (UGent) , Wout Joseph (UGent) , Adnan Shahid (UGent) and Eli De Poorter (UGent)

(2021) 2021 IEEE 7th World Forum on Internet of Things (WF-IoT). p.315-320
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- Journal Article
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- open access
Horse jumping and dressage training activity detection using accelerometer data

Anniek Eerdekens (UGent) , Margot Deruyck (UGent) , Jaron Fontaine (UGent) , Bert Damiaans, Luc Martens (UGent) , Eli De Poorter (UGent) , Jan Govaere (UGent) , David Plets (UGent) and Wout Joseph (UGent)

(2021) ANIMALS. 11(10).
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- Journal Article
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- open access
A framework for energy-efficient equine activity recognition with leg accelerometers

Anniek Eerdekens (UGent) , Margot Deruyck (UGent) , Jaron Fontaine (UGent) , Luc Martens (UGent) , Eli De Poorter (UGent) , David Plets (UGent) and Wout Joseph (UGent)

(2021) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 183.
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- Conference Paper
- C1
- open access
Resampling and data augmentation for equines' behaviour classification based on wearable sensor accelerometer data using a convolutional neural network

Anniek Eerdekens (UGent) , Margot Deruyck (UGent) , Jaron Fontaine (UGent) , Luc Martens (UGent) , Eli De Poorter (UGent) , David Plets (UGent) and Wout Joseph (UGent)

(2020) 2020 International Conference on Omni-layer Intelligent Systems (COINS).
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Feasibility of wireless horse monitoring using a kinetic energy harvester model

Ben Van Herbruggen (UGent) , Jaron Fontaine (UGent) , Anniek Eerdekens (UGent) , Margot Deruyck (UGent) , Wout Joseph (UGent) and Eli De Poorter (UGent)

(2020) ELECTRONICS. 9(10).
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Automatic equine activity detection by convolutional neural networks using accelerometer data

Anniek Eerdekens (UGent) , Margot Deruyck (UGent) , Jaron Fontaine (UGent) , Luc Martens (UGent) , Eli De Poorter (UGent) and Wout Joseph (UGent)

(2020) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 168.