Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1913
Title: Predicting Animal Behaviours: Physical and Behavioural Classification of Dog Walking Levels
Other Titles: Hayvan Davranislarini Tahminlemek: Köpek Yürüyüs Zorluklarinin Fiziksel ve Davranissal Siniflandirilmasi
Authors: Çakar Tuna
Özen Guris
Karan Baris
Keywords: Animal behaviour prediction
machine learning
multi-class supervised classification
Publisher: IEEE
Source: 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
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. © 2022 IEEE.
URI: https://doi.org/10.1109/SIU55565.2022.9864674
https://hdl.handle.net/20.500.11779/1913
ISBN: 978-166545092-8
Appears in Collections:Bilgisayar Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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