Tomas Norton
Orcid: 0000-0002-0161-3189Affiliations:
- KU Leuven, Belgium
According to our database1,
Tomas Norton
authored at least 35 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Recognizing pawing behavior of prepartum doe using semantic segmentation and motion history image (MHI) features.
Expert Syst. Appl., 2024
CKSP: Cross-species Knowledge Sharing and Preserving for Universal Animal Activity Recognition.
CoRR, 2024
Peeking into the unseen: Occlusion-resistant segmentation for preweaning piglets under crushing events.
Comput. Electron. Agric., 2024
Digital Twins in intensive aquaculture - Challenges, opportunities and future prospects.
Comput. Electron. Agric., 2024
2023
Recognizing the rooting action of prepartum sow in free-farrowing pen using computer vision.
Comput. Electron. Agric., October, 2023
Don't get lost in the crowd: Graph convolutional network for online animal tracking in dense groups.
Comput. Electron. Agric., September, 2023
Where's your head at? Detecting the orientation and position of pigs with rotated bounding boxes.
Comput. Electron. Agric., September, 2023
A computer vision-based approach for respiration rate monitoring of group housed pigs.
Comput. Electron. Agric., July, 2023
Comput. Electron. Agric., July, 2023
Evaluation of computer vision for detecting agonistic behavior of pigs in a single-space feeding stall through blocked cross-validation strategies.
Comput. Electron. Agric., 2023
2022
Wheat head counting in the wild by an augmented feature pyramid networks-based convolutional neural network.
Comput. Electron. Agric., 2022
2021
A PCA-based frame selection method for applying CNN and LSTM to classify postural behaviour in sows.
Comput. Electron. Agric., 2021
Separate weighing of male and female broiler breeders by electronic platform weigher using camera technologies.
Comput. Electron. Agric., 2021
Comput. Electron. Agric., 2021
Behaviour recognition of pigs and cattle: Journey from computer vision to deep learning.
Comput. Electron. Agric., 2021
2020
An Approach towards Motion-Tolerant PPG-Based Algorithm for Real-Time Heart Rate Monitoring of Moving Pigs.
Sensors, 2020
Non-Invasive PPG-Based System for Continuous Heart Rate Monitoring of Incubated Avian Embryo.
Sensors, 2020
Recognition of aggressive episodes of pigs based on convolutional neural network and long short-term memory.
Comput. Electron. Agric., 2020
Recognition of feeding behaviour of pigs and determination of feeding time of each pig by a video-based deep learning method.
Comput. Electron. Agric., 2020
A computer vision approach for recognition of the engagement of pigs with different enrichment objects.
Comput. Electron. Agric., 2020
2019
An Automatic Head Surface Temperature Extraction Method for Top-View Thermal Image with Individual Broiler.
Sensors, 2019
Comput. Electron. Agric., 2019
Learning patterns from time-series data to discriminate predictions of tail-biting, fouling and diarrhoea in pigs.
Comput. Electron. Agric., 2019
Comput. Electron. Agric., 2019
Development of sound-based poultry health monitoring tool for automated sneeze detection.
Comput. Electron. Agric., 2019
2018
Dynamic Neural Network Modelling of Soil Moisture Content for Predictive Irrigation Scheduling.
Sensors, 2018
An automatic ear base temperature extraction method for top view piglet thermal image.
Comput. Electron. Agric., 2018
Comput. Electron. Agric., 2018
Dynamic modelling of the baseline temperatures for computation of the crop water stress index (CWSI) of a greenhouse cultivated lettuce crop.
Comput. Electron. Agric., 2018
2017
Comput. Electron. Agric., 2017
Validation of an open source CFD code to simulate natural ventilation for agricultural buildings.
Comput. Electron. Agric., 2017
Comput. Electron. Agric., 2017
2016
Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016
2013
Aiding the understanding of novel freezing technology through numerical modelling with visual basic for applications (VBA).
Comput. Appl. Eng. Educ., 2013