4 citations
- University College DublinIE5 papers
- Génétique Physiologie et Systèmes d'ElevageFR4 papers
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementFR4 papers
- Wageningen University & ResearchNL4 papers
- Huazhong University of Science and TechnologyCN1 paper
- Institut National de la Recherche AgronomiqueMA1 paper
- National University of Ireland, MaynoothIE1 paper
- Université de Picardie Jules VerneFR1 paper
- University of PaduaIT1 paper
- University of TriesteIT1 paper
- Waterford Institute of TechnologyIE1 paper
7 papers
A Comparison of Deep Learning and Established Methods for Calf Behaviour Monitoring
Oshana Dissanayake, Lucile Riaboff, Sarah E. McPherson +2
In recent years, there has been considerable progress in research on human activity recognition using data from wearable sensors. This technology also has potential in the context…
Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification
Oshana Dissanayake, Sarah E. McPherson, Joseph Allyndree +3
Getting new insights on pre-weaned calf behavioral adaptation to routine challenges (transport, group relocation, etc.) and diseases (respiratory diseases, diarrhea, etc.) is a pro…
Development of a digital tool for monitoring the behaviour of pre-weaned calves using accelerometer neck-collars
Oshana Dissanayake, Sarah E. Mcpherson, Joseph Allyndrée +3
Automatic monitoring of calf behaviour is a promising way of assessing animal welfare from their first week on farms. This study aims to (i) develop machine learning models from ac…
Evaluating ROCKET and Catch22 features for calf behaviour classification from accelerometer data using Machine Learning models
Oshana Dissanayake, Sarah E. McPherson, Joseph Allyndree +3
Monitoring calf behaviour continuously would be beneficial to identify routine practices (e.g., weaning, dehorning, etc.) that impact calf welfare in dairy farms. In that regard, a…
Mid infrared spectroscopy and milk quality traits: a data analysis competition at the "International Workshop on Spectroscopy and Chemometrics 2021"
Maria Frizzarin, Antonio Bevilacqua, Bhaskar Dhariyal +11
A chemometric data analysis challenge has been arranged during the first edition of the "International Workshop on Spectroscopy and Chemometrics", organized by the Vistamilk SFI Re…
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem
Jiongzhi Zheng, Kun He, Jianrong Zhou +2
We address the Traveling Salesman Problem (TSP), a famous NP-hard combinatorial optimization problem. And we propose a variable strategy reinforced approach, denoted as VSR-LKH, wh…