Predicting Animal Behaviours: Physical and Behavioural Classification Of Dog Walking Levels
Loading...
Date
2022
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Methods of predicting canine behaviour is an area covered by canine behaviour experts. This study aims to predict the behaviour of dogs during walking based on available information about dogs. In this data-driven project based on up-to-date company data, the problem of predicting dog behaviour was addressed in two different ways. First, it is aimed to create a supervised classification model. Within the scope of this study, improvements were made to various classification algorithms. The results were analyzed in different axes. Secondly, it is aimed to create a new parameter that predicts dog walking difficulties by formulating the parameters.
Description
ORCID
Keywords
Animal Behaviour Prediction, Multi-Class Supervised Classification, Machine Learning, machine learning, multi-class supervised classification, Animal behaviour prediction
Turkish CoHE Thesis Center URL
Fields of Science
Citation
Ozen, G., Karan, B., & Cakar, T. (2022). Predicting Animal Behaviours: Physical and Behavioural Classification Of Dog Walking Levels. 2022 30th Signal Processing and Communications Applications Conference (SIU). https://doi.org/10.1109/siu55565.2022.9864674
WoS Q
N/A
Scopus Q
N/A

OpenCitations Citation Count
N/A
Source
30th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2022 -- Safranbolu, TURKEY
Volume
Issue
Start Page
1
End Page
4
PlumX Metrics
Citations
Scopus : 0
Captures
Mendeley Readers : 3


