Characterising sheep vocals using a machine learning algorithm

Summary

Characterising sheep vocals using a machine learning algorithm is a master's thesis^[1].

Key Facts

• Characterising sheep vocals using a machine learning algorithm's instance of is recorded as master's thesis^[2].
• Characterising sheep vocals using a machine learning algorithm was published by Research@Lincoln^[3].
• Characterising sheep vocals using a machine learning algorithm's copyright license is recorded as Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International^[4].
• Characterising sheep vocals using a machine learning algorithm's language of work or name is recorded as English^[5].
• Characterising sheep vocals using a machine learning algorithm's country of origin is recorded as New Zealand^[6].
• Characterising sheep vocals using a machine learning algorithm was released on 2021^[7].
• Characterising sheep vocals using a machine learning algorithm's main subject is sheep^[8].
• Characterising sheep vocals using a machine learning algorithm's main subject is animal welfare^[9].
• Characterising sheep vocals using a machine learning algorithm's main subject is machine learning^[10].
• Characterising sheep vocals using a machine learning algorithm's main subject is animal behavior^[11].
• Characterising sheep vocals using a machine learning algorithm's main subject is well-being^[12].
• Characterising sheep vocals using a machine learning algorithm's main subject is vocalization^[13].
• Characterising sheep vocals using a machine learning algorithm's main subject is Animalia^[14].
• Characterising sheep vocals using a machine learning algorithm's work available at URL is recorded as https://researcharchive.lincoln.ac.nz/handle/10182/14196^[15].
• Characterising sheep vocals using a machine learning algorithm's title is recorded as Characterising sheep vocals using a machine learning algorithm^[16].
• Characterising sheep vocals using a machine learning algorithm's author name string is recorded as Bilal Nawaz Kayani^[17].
• Characterising sheep vocals using a machine learning algorithm's thesis submitted to is recorded as Lincoln University^[18].
• Characterising sheep vocals using a machine learning algorithm's on focus list of Wikimedia project is recorded as NZThesisProject^[19].
• Characterising sheep vocals using a machine learning algorithm's copyright status is recorded as copyrighted^[20].
• Characterising sheep vocals using a machine learning algorithm's thesis committee member is recorded as Hamish Rennie^[21].
• Characterising sheep vocals using a machine learning algorithm's thesis committee member is recorded as Shannon Page^[22].
• Characterising sheep vocals using a machine learning algorithm's thesis submitted for degree is recorded as Master of Applied Science in Computing^[23].

Body

Designation and Status

Characterising sheep vocals using a machine learning algorithm's instance of is recorded as master's thesis^[2].